115results about How to "Meet scheduling needs" patented technology

The invention discloses a measurement and control resource scheduling distribution method based on Multi-Agent and a DNN, and the method comprises the steps: designing three big types of intelligent agents of a measurement and control resource dynamic scheduling problem; carrying out the initial arrangement of the measurement and control tasks and measurement and control resources based on a Multi-Agent negotiation distribution mechanism of the game theory; creating a measurement and control task knowledge base, carrying out the repeated training of the measurement and control task knowledge base through a DNN (depth neural network) algorithm with a deep learning structure, and eliminating a problem of mutual conflict between the measurement and control tasks; generating a measurement andcontrol task dynamic factbase after deep learning, and distributing tasks to each measurement and control station for accurate execution according to a generated optimal measurement and control task execution sequence. The method optimizes the measurement and control resource planning and scheduling through the Multi-Agent cooperation technology based on the game theory and the DNN technology. Through the deep learning process of the DNN algorithm, the measurement and control task knowledge base is continuously improved, thereby improving the dynamic adjustment and intelligent execution of themeasurement and control resource scheduling management.

The invention provides a monitoring method of a micro-grid system capable of automatically realizing energy balance. The monitoring method comprises the steps of S1, acquiring operation data of a wind-powered generating device and a photovoltaic generating device through a wind-powered generating device module and a photovoltaic generating device module on real time, and storing the data; S2, predicating output power of the wind-powered generating device and the photovoltaic generating device within the preset time in the future according to the operation data of the wind-powered generating device and the photovoltaic generating device; S3, detecting to obtain SOC of a storage batter module and capacitance voltage values of a super capacitor on real time, and acquiring the load power demand condition in a micro-grid on real time; S4, acquiring large grid parameters and scheduling information on real time, and predicating the power demand of a connecting point between the micro-grid and the large grid in the future; S5, optimally operating the micro-grid by using the power demand of the connecting point between an energy storing station and the large power grid, the current energy SOC of the storage battery and the capacitance voltage of the super capacitor, the current load power demand in the power grid, and the output power of the wind-powered generating device and the photovoltaic generating device in the future as the constraining conditions.

A monitoring method of a wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner has the advantages that the monitoring method can predict the power generation power of wind-photovoltaic power generation equipment in a micro-grid and the load change in the micro-grid, track grid connection point voltage information of large power grids, acquire large power grid scheduling instructions in real time, detect storage battery module battery capacity in real time, set energy accumulation system discharge intervals, perform optimized management on the energy of an energy accumulation system on the basis of an SOC hierarchical control strategy, correct the charging and discharging power of the energy accumulation system in real time, optimize the working performance of the energy accumulation system, make and implement most appropriate control strategies, guarantee that the micro-grid participates in large power grid voltage adjusting according to the requirements of the large power grids during grid connection, and guarantee voltage stability during grid-connected operation.

The invention relates to an operation and monitoring method for a micro-grid with an energy storage system capable of stabilizing power fluctuation. The method comprises the following steps: S1, a wind power generation equipment and photovoltaic power generation equipment monitoring module acquires operation data of wind power generation equipment and photovoltaic power generation equipment in real time and stores the data; S2, according to the operation data of the wind power generation equipment and the photovoltaic power generation equipment, output power of the wind power generation equipment and the photovoltaic power generation equipment in future preset time is forecast; S3, an SOC of a storage battery module is detected and acquired in real time, and a power demand condition of loads in the micro-grid is acquired in real time; S4, parameters and scheduling information of a large-scale power grid are acquired in real time and a power demand of a connection point of the micro-grid and the large-scale power grid in future time is forecast; S5, by using a power demand of a connection point of an energy storage power station and the large-scale power grid, a current SOC of energy storage of a storage battery, a current power demand of the loads in the micro-grid and future output power of the wind power generation equipment and the photovoltaic power generation equipment as constraint conditions, optimized operation of the micro-grid is realized.

The present invention relates to a task scheduling method in a heterogeneous multi-core architecture. Between a plurality of cores, data transmission is implemented in a manner of sharing a memory, and information transmission is implemented in a manner of interruption and polling; the shared memory is partitioned into a command area, a result area, a data input area and a data output area, and high-efficiency data structures are designed according to functions of these areas so as to establish a heterogeneous multi-core interactive memory model; and task scheduling adopts a plurality of circular queues to implement priority task queues, so that a high-efficiency fair task scheduling mechanism is implemented. The present invention provides a task scheduling method, which has high efficiency, good expandability and high portability, for the master-slave heterogeneous multi-core architecture. With the task scheduling method, load of a main core can be greatly reduced and integral load on a system chip can be balanced. Moreover, the task scheduling method is low in call overhead, which can not only efficiently meet the scheduling requirement of a single task, but also simultaneously meet the real-time scheduling requirement of a plurality of tasks.

The invention discloses an operation and monitoring method for a battery energy storage power station based on power prediction. The operation and monitoring method comprises the following steps: 1, acquiring operation data of photovoltaic power generation equipment in real time through a photovoltaic power generation equipment monitoring module, and storing data; 2, according to the operation data of the photovoltaic power generation equipment, predicting output power of the photovoltaic power generation equipment within a future reserved moment, and predicting inactive power of an SVG module which can be output; 3, detecting and acquiring SOC of a storage battery module in real time, and acquiring the use situation of load power of a power station in real time; 4, acquiring parameters and scheduling information of a large power grid in real time, and predicting power demands of a connecting point of the energy storage power station and a large power grid in real time; 5, by taking the power demands of the connecting point of the energy storage power station and the large power grid, the SOC of present stored energy of a storage battery, the load power demands of the energy storage power station, the future output power of photovoltaic power generation equipment, and exportable inactive power of the SVG module as constraint conditions, achieving optimal control on a battery energy storage system.

A monitoring device of a wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner has the advantages that the monitoring device can predict the power generation power of wind-photovoltaic power generation equipment in a micro-grid and the load change in the micro-grid, track grid connection point voltage information of large power grids, acquire large power grid scheduling instructions in real time, detect storage battery module battery capacity in real time, set energy accumulation system discharge intervals, perform optimized management on the energy of an energy accumulation system on the basis of an SOC hierarchical control strategy, correct the charging and discharging power of the energy accumulation system in real time, optimize the working performance of the energy accumulation system, make and implement most appropriate control strategies, guarantee that the micro-grid participates in large power grid voltage adjusting according to the requirements of the large power grids during grid connection, and guarantee voltage stability during grid-connected operation.

The invention provides a distributed scheduling method and device, electronic equipment and a computer storage medium. The distributed scheduling method is used for scheduling tasks in a big data platform, and the distributed scheduling method comprises the following steps: S1, determining the range of calculation tasks needing to be scheduled, and generating an initial task set; S2, performing layer-by-layer statistics on tasks of upstream reference objects of the tasks in all the initial task sets, and arranging the tasks according to an upstream and downstream sequence; S3, estimating the memory and processor overhead of each task, calculating respective scores through a resource overhead assessment algorithm, and sorting according to the scores to generate an execution task set; and S4, distributing the tasks in the execution task set to a plurality of computing nodes of the big data platform so as to enable the computing nodes to execute respective tasks. According to the distributed scheduling method provided by the invention, distribution control and overhead measurement are carried out, so that the resource waste condition is solved.

A wind, photovoltaic and storage-integrated micro-grid capable of being operated in a grid-connected manner has the advantages that the micro-grid can predict the power generation power of wind-photovoltaic power generation equipment in the micro-grid and the load change in the micro-grid, track grid connection point voltage information of large power grids, acquire large power grid scheduling instructions in real time, detect storage battery module battery capacity in real time, set energy accumulation system discharge intervals, perform optimized management on the energy of an energy accumulation system on the basis of an SOC hierarchical control strategy, correct the charging and discharging power of the energy accumulation system in real time, optimize the working performance of the energy accumulation system, make and implement most appropriate control strategies, guarantee that a power generation system participates in large power grid voltage adjusting according to the requirements of the large power grids during grid connection, and guarantee voltage stability during grid-connected operation.

The invention discloses a traffic flow big data-based real-time tunnel monitoring management system and a realization method thereof. The system mainly comprises a tunnel entrance data collection module, a traffic flow parameter statistical analysis module, an optical traffic flow guiding big data analysis unit, a vehicle diverging coordinated control module and an in-tunnel data collection module; traffic flow data acquisition is carried out through the tunnel entrance data collection module; an optimized control method is analyzed and calculated through the traffic flow parameter statisticalanalysis module and the optical traffic flow guiding big data analysis unit; and a corresponding instruction is sent to tunnel entrance traffic signal control equipment to realize coordination. The system is capable of monitoring the traffic flows in tunnels in real time and realizing traffic flow control and adjustment according to traffic flow big data analysis, so as to realize passing safetyin the tunnels and high efficiency.

The invention relates to a method and a device for controlling an energy storage system, an energy storage system and a power system. The method includes the following steps: receiving a current powergrid dispatching instruction, and determining the minimum limit power according to the current power grid dispatching instruction and preset first control parameters; acquiring the current output value of a generator set and the historical control parameters in a first preset historical period, and obtaining a first predicted value of power according to the current output value and the historicalcontrol parameters; determining target control parameters according to the minimum limit power and the first predicted value of power; and acquiring a target output value of the energy storage systemaccording to the target control parameters, and making the energy storage system output electric energy according to the target output value. Thus, when the energy storage system and the generator set cannot respond to the power grid dispatching instruction, the target output value of the energy storage system can be flexibly adjusted so that the combined output value of the energy storage systemand the generator set can meet the dispatching demand of the power grid side.

The invention discloses a monitoring method for a power generation system. The monitoring method comprises the following steps: S1. obtaining operational data of a wind power generation device and a photovoltaic power generation device in real time by monitoring modules of the wind power generation device and the photovoltaic power generation device, storing the data, performing real-time detection to obtain a SOC of a storage battery module, and obtaining a load power demand condition in a micro-grid in real time; according to the operational data of the wind power generation device and the photovoltaic power generation device, and the SOC of the storage battery module, predicting output active power and reactive power of the wind power generation device and a light storage device within a future predetermined moment; S2. acquiring grid-connection point voltage information, and predicting the output active power and reactive power of the wind power generation device and the light storage device within the future predetermined moment according to a large power grid scheduling instruction to form active and reactive output demands of the power generation system; and S3. by taking the active and reactive output demands of the power generation system, the current SOC of battery energy storage, the current load power demand in the grid, and the output active power and reactive power of the wind power generation device and the photovoltaic power generation device as constraint conditions, realizing optimized operation of the power generation system.

The embodiment of the invention provides a method and device for determining the number of OFDM symbols occupied by a control channel. The method includes the steps that if a PHICH is not adopted in a current subframe for transmission or the PHICH is adopted in the current subframe for transmission, the PHICH is in a common mode, and the scheduling user number of the current subframe is obtained; the number of CCEs is calculated; the number of OFDM symbols occupied by the control channel in the current subframe is determined according to the scheduling user number and the number of CCEs. In the method, full consideration is given to the practical scheduling user number and the environment of the control channel, system resources can be reasonably allocated, and system scheduling performance and throughput capacity are effectively improved.

The invention discloses a container cluster scheduling method for power internet of things application and a container cluster scheduling device for power internet of things application. The method comprises the steps that the container resource flexible scheduling strategy is preset according to the characteristics of the power internet of things application; after the user selects the corresponding container resource flexible scheduling strategy, the utilization situation of the container resource in the present container cluster of the user is monitored; and when the monitoring result indicates that the utilization situation of the container resource meets the selected container resource scheduling condition of the user, the new container resource is scheduled for the present containercluster of the user or the idle container resource is recycled. According to the container cluster scheduling method, the extended container cluster scheduling algorithm is provided for the power internet of things application deployed in the container cluster on the cloud through combination of cloud computing, the internet of things and the container technology so that the characteristic resource scheduling demand of the power internet of things application can be met, secondary flexible scheduling according to the business application characteristics is supported (i.e. the container resource outside the container cluster can be scheduled) and waste of the resource can be avoided and reasonable scheduling use can be realized.

The invention relates to a micro-grid system capable of automatically realizing energy balance. The micro-grid system comprises wind power generation equipment, photovoltaic power generation equipment, an energy storage device, a first AC / DC bidirectional commutation module, a DC bus, a second AC / DC bidirectional commutation module, loads in a micro-grid and a monitoring device, wherein the first AC / DC bidirectional commutation module is used for connecting the micro-grid with a large-scale power grid and isolating the micro-grid from the large-scale power grid; the second AC / DC bidirectional commutation module is used for connecting the wind power generation equipment, the photovoltaic power generation equipment and the DC bus; the energy storage device comprises a storage battery module, a super capacitor and a bidirectional DC / DC converter connected with the DC bus. According to the micro-grid system, generation power of the power generation equipment in the micro-grid and variation of the loads in the micro-grid can be forecast; power of a connection point of the micro-grid and the large-scale power grid can be tracked and forecast; an optimum control strategy can be made and implemented; the micro-grid is guaranteed to rapidly and stably provide active power and reactive power in the grid connection process according to the requirements of the large-scale power grid; the safety and the service life of the energy storage device can be promoted.

This invention discloses a block position management method based on the next generation mixed mobile network communication divided into two modes of horizontal and vertical communications, which takes several mobile stations close to each other and with the same moving trend in the mobile communication network as a grouped set to be managed unifiedly including: 1, a new mixed communication mode: vertical and horizontal, 2, four kinds of new network elements: multiple radio mobile terminals, a grouped set, a group head and a blocked position database, 3, the blocked position renewing method: setting up a grouped set, which is registered initially, renewing the members and renewing the grouped set, 4, a related call transfer method.

The invention discloses an AGC control system and method based on heating-extracting flow change. The system comprises a set heating-extracting flow metering device which is used for metering the set heating-extracting flow and transmitting the set heating-extracting flow to a processor. The processor is configured in that a function relation F1 (X) between a proportion coefficient and the set heating-extracting flow, and a function relation F2 (X) between an integral time parameter and the set heating-extracting flow are preset; according to the function relations F1 (X) and F2 (X), the proportion parameter and the integral time parameter of a master control PID controller are dynamically calculated and sent to the master control PID controller; a set load real-time measurement device timely measures a set load and uploads the set load to the master control PID controller; the master control PID controller is internally preset with a set load threshold; the master control PID controller is used for calculating a difference between the set load real-time measurement value and the preset set load threshold to obtain a set load deviation; and according to the set load deviation and the received proportion parameter and the integral time parameter, the dynamic adjustment of the set load is achieved.

The invention relates to a monitoring device for a micro-grid system capable of automatically realizing energy balance. The monitoring device comprises a wind power generation equipment monitoring module, a photovoltaic power generation equipment monitoring module, an energy storage device monitoring module, a large-scale power grid communication module, a grid-connected operation monitoring module, a load monitoring module, a central control module and a bus module, wherein the wind power generation equipment monitoring module is used for monitoring wind power generation equipment in real time and forecasting generation power of the wind power generation equipment; the photovoltaic power generation equipment monitoring module is used for monitoring photovoltaic power generation equipment in real time and forecasting generation power of the photovoltaic power generation equipment; the energy storage device monitoring module can monitor an SOC of a storage battery module, capacitance and voltage values of a super capacitor and a DC / DC bidirectional transducer in real time; the large-scale power grid communication module is used for acquiring an operation condition and related scheduling information of a large-scale power grid from a large-scale power grid regulation and control center in real time; the grid-connected operation monitoring module is used for controlling a micro-grid to be connected with or isolated from the large-scale power grid; the load monitoring module is used for monitoring loads in an energy storage power station in real time; the center control module is used for determining an operation strategy of the micro-grid and sending a command to each module in the monitoring device so as to execute the operation strategy; the bus module is used for communication of each module of the monitoring device.

The invention discloses a distributed intelligent power grid economic dispatching method based on finite time consistency under directed topology, and the method comprises the following steps: carrying out mathematical modeling which comprises a total cost objective function and a supply and demand balance and generator power limit constraint function of all generators under power grid economic dispatching; calculating the optimal cost increment of the generator set; calculating the final output power of each generator according to the parameters of each generator of the generator set; and re-determining the new optimal cost increment of the generator set. According to the invention, the intelligent power grid system can complete the economic dispatching process within limited time; the economic dispatching time of the intelligent power grid is shortened, the dispatching cost is greatly reduced, the modern intelligent power grid dispatching requirement is met, the proposed algorithm considers the economic dispatching process under directed communication topology according to the characteristic of difference of information obtained between generators in an actual intelligent power grid system, and the applicability is wider.

The invention discloses a time characteristic scale modeling method suitable for photovoltaic / wind power prediction, and belongs to the technical field of new energy power generation. The method comprises the following steps: firstly, carrying out segmented linear fitting on a continuous variation state power curve by using a cubic spline interpolation method; eliminating the same maximum or minimum point on the same horizontal line by adopting an arithmetic mean value method; constructing a ladder diagram which reflects a continuous variation state of active power of photovoltaic / wind power; and through a built multi-objective optimization-based intermittent energy active power time characteristic scale simulation model, determining an optimal time characteristic scale of active power of intermittent energy. The method is suitable for a photovoltaic / wind power station, and has the advantages of being high in applicability, wide in application range and the like. Meanwhile, for relatively regular and periodic data information, the short-term prediction precision of the active power of the photovoltaic / wind power station can be improved, and the power grid dispatching requirements are met.

The invention discloses an agile satellite scheduling method considering time-dependent conversion time. The agile satellite scheduling method comprises the steps of obtaining a to-be-observed targetsequence and preprocessing the to-be-observed target sequence; constructing an agile satellite scheduling model of time-dependent conversion time; inputting the preprocessed to-be-observed target sequence into an agile satellite scheduling model, and solving the agile satellite scheduling model; and outputting a solving result in the step 3 to obtain a scheduling scheme of the agile satellite. Dueto the fact that the time dependence of the attitude conversion time between the continuous observation tasks is considered, the constructed agile satellite scheduling model can better meet the scheduling requirement, and the scheduling efficiency of the solved scheduling scheme is higher. In the solving process, the earliest and latest unreachable time of each time window and the earliest starting time and latest starting time between any pair of observation windows in the same circle are pre-calculated, so that repeated calculation is reduced when insertion operation is tried, the calculation time is shortened, and the scheduling efficiency is improved.

The invention discloses a method and a device for determining a scheduling strategy. The method comprises the following steps of: receiving, by a node B, an enjoyment bit value reported by user equipment (UE) on an enhanced dedicated channel special physical control channel (E-DPCCH) corresponding to a main / auxiliary carrier wave and combining the enjoyment bit value into an enjoyment bit value set {A, B}; determining the scheduling strategy according to the enjoyment bit value set {A, B} by the node B, wherein if {A, B} is {0, 0}, scheduling the main carrier wave and the auxiliary carrier wave to respectively increase a distributed power; if {A, B} is {1, 1}, scheduling the main carrier wave and the auxiliary carrier wave not to increase the distributed power; and if {A, B} is {0, 1} or {1, 0}, scheduling the main carrier wave and / or the auxiliary carrier wave to increase or not to increase the distributed power. The invention ensures that the scheduling requirements of the UE on downlink conferment can be satisfied, simultaneously balances the difference between the main carrier wave and the auxiliary carrier wave and decreases the interference.

The invention provides a monitoring device of a battery energy storage system with a reactive adjusting function. The monitoring device 11 comprises a renewable energy power generation device monitoring module 114, a storage battery monitoring module 115, a power distribution network connection module 112, a grid connection monitoring module 116, a center control module 117, a static var generator (SVG) monitoring module and a bus module 111, wherein the renewable energy power generation device monitoring module 114 is used for real-timely monitoring a renewable energy power generation device 12 in the battery energy storage system 10 and predicting power generation power of the renewable energy power generation device 12, the storage battery monitoring module 115 is used for real-timely monitoring a storage battery module 13 in an energy storage system 10 of a wind power plant, the power distribution network connection module 112 is used for real-timely obtaining operation conditions and related dispatch information of a power distribution network 20 from an adjusting and controlling center of the power distribution network 20, the grid connection monitoring module 116 is used for controlling the wind power plant energy storage system 10 to be connected with or isolated from the power distribution network 20, the center control module 117 is used for determining an operation strategy of the battery energy storage system 10 and sending instructions to the modules so as to execute a power supply strategy, the SVG monitoring module is used for real-timely monitoring an SVG module 14, and the bus module 111 is used for communication and contact of all modules of the monitoring device 11.

The invention relates to a high-temperature and high-pressure steam heating fused salt energy storage system of a thermal power plant. The energy storage system comprises a conventional thermal powergeneration system, a steam heating fused salt system and a fused salt heat storage system. The conventional thermal power generation system is a reheating steam unit; the steam heating fused salt system consists of five heat exchangers, and is connected with the thermal power generation system and the fused salt heat storage system to achieve a heat exchange function of high-temperature and high-pressure steam of the thermal power generation system and the fused salt heat storage system. Through the high-temperature and high-pressure steam heating fused salt energy storage system, high-grade steam of the thermal power generation system is stored, and steam in an inlet of a steam turbine can be bypassed away, so that the total thermoelectric decoupling is realized, the flexible operation and the deep peak pitching of the thermal power generation system are facilitated, and meanwhile, the operation safety of a boiler and a turbine generator set is guaranteed.

The invention discloses a method for monitoring an intelligent distributed wind power generation system with adjustable voltage and power. The method includes the following steps: S1. a wind generation device monitoring module real-time acquiring operation data of a wind generation device, storing the data, and real-time acquiring demand for load power within the wind power generation system; conducting first-order filtering on an active power PWO that is sent by the wind generation device and outputting an expected active power PWf of the wind generation device; S2. acquiring voltage information at grid-connected points, at the same time based on a scheduling instruction of a large power grid, determining demand for an active or reactive power output of the wind power generation system; real-time detecting and acquiring a SOC of a battery module; S3. processing the acquired information about the wind generation device, a power grid and batteries to obtain an expected output power reference quantity PEss=[delta] P1+[delta]PB of an energy storage system, wherein the [delta] P1 is a difference value between PWO and PWf, setting a discharge zone of the energy storage system, and establishing a SOC layered control strategy; S4. with the demand for active and reactive power output, the current SOC layered control strategy, the current demand for the load power within the wind generation system, and the fact that the wind generation device may output an active and reactive power as restraining conditions, implementing optimized operation of the wind generation system.

The invention provides a service shunting method, device and system. The method comprises the following steps: detecting received service flow data according to a preset rule to obtain a detection result; if the detection result meets the preset rule, taking a network address in the service flow data as a shunting address, and generating a shunting strategy; and shunting an uplink service flow data packet of the terminal device to an edge network according to the shunting strategy, wherein the destination address of the uplink service flow data packet is the shunting address. According to theembodiment of the invention, the user plane function entity can generate the shunting strategy in real time, and the specific scheduling requirement for the service deployed in the edge network is met.

The invention relates to the field of vehicle scheduling, in particular to a two-stage public transport vehicle scheduling algorithm based on iterative field search, which comprises the following steps: (1) analyzing, learning and predicting according to given public transport system GPS data to obtain departure frequency and one-way duration of each time period; (2) fitting a departure time tableaccording to the obtained departure frequency and one-way duration; (3) allocating the train numbers on the departure time table through a greedy algorithm to obtain an initial scheduling plan; and (4) taking the initial scheduling plan as a candidate solution, and performing iteration and optimization in two stages through a neighborhood search algorithm to obtain an approximately optimal scheduling plan under the current constraint condition. The method is convenient to deploy, high in practicability and good in robustness; the algorithm consumes less time, and a feasible scheduling plan can be found in a short time compared with an accurate algorithm; the occupied machine performance is little, the algorithm efficiency is high, and the GAP between the obtained approximate optimal solution and the optimal solution obtained through the accurate algorithm is small; and the method can be quickly transplanted to other systems.

The invention discloses a short circuit ratio-based multi-infeed ultra-high voltage direct current power grid converter reactive power configuration method. The method comprises the following steps that: step 1, adjacent date and historical load data and wind / light power generation power data are obtained; step 2, wind and light power generation power and daily load are predicted; sep 3, the equivalent daily load curve of a prediction date is constructed; step 4, the area of a wind power generation curve is calculated; step 5, heat storage capacity is calculated; step 6, an area under the loadcurve is solved through adopting a Monte-Carlo algorithm curve area solution method, and the heat storage capacity in an active power distribution network is matched with peak load; and step 7, an equal-area replacement method is adopted to reconstruct the equivalent daily load curve according to a matching result satisfying requirements. With the method provided by the invention adopted, a wind,light, storage, and heat multi-energy flexibly-complementary active power distribution load can be reconstructed more safely, economically, reliably and effectively; and a technical base and practical method can be provided for the safe, economic and efficient dispatching of the active power distribution network.

The invention discloses an energy storage system micro-grid 10 capable of inhibiting power fluctuation. The micro-grid 10 comprises photovoltaic power generation equipment 12, an energy storage system 13, wind power generation equipment 14, an AC / DC bidirectional current conversion module I 16, a direct-current bus, an AC / DC bidirectional current conversion module II 15, a load 17 and a monitoring device 11, wherein the AC / DC bidirectional current conversion module I 16 is used for connecting and isolating the photovoltaic power generation equipment 12 from the direct-current bus; the AC / DC bidirectional current conversion module II 15 is used for connecting the photovoltaic power generation equipment 12 with the direct-current bus. The micro-grid disclosed by the invention has the advantages that firstly, the output power change situation of the wind power generation equipment and the photovoltaic power generation equipment can be accurately predicted, secondly, the power change of a connecting point of the micro-grid with a large power grid and the power change of the load inside the micro-grid can be accurately predicted, and thirdly, large power grid scheduling requirements and the operation situation of the energy storage system are both considered in a control strategy, active power and reactive power can be simultaneously provided for the large power grid, the scheduling requirements of the large power grid and the requirements of the load inside the micro-grid are met, at the same time the power fluctuation of the micro-grid can be effectively inhibited, the power supply reliability is also achieved, the security of the micro-grid is ensured, and the service life of equipment inside the micro-grid is prolonged.

The invention discloses a resource scheduling method and system and a computer readable storage medium. The method comprises the steps of obtaining a control instruction input by a user; determining intention equipment based on the control instruction; under the condition that the intention equipment cannot be started, for each function of the intention equipment, inquiring alternative equipment associated with the function from a constructed knowledge graph, and storing a plurality of functions and equipment associated with each function in the knowledge graph; and determining and starting the to-be-started equipment from all the alternative equipment. By applying the resource scheduling method provided by the invention, under the condition that the intention equipment specified by the user cannot be started, the alternative equipment is reasonably determined according to the association relationship between the functions and the equipment in the constructed knowledge graph, and thenthe equipment to be started is determined and started from the alternative equipment. The problem that resources cannot be scheduled in a personalized mode in the prior art is solved, the personalizeddegree of the system is improved, the scheduling requirements of different resources are met, and the user experience is improved.