164results about How to "Achieve economical operation" patented technology

The invention relates to an optimization method in the field of power system automation, in particular to a layered optimization method of a regional distribution network comprising a micro-grid. The method includes the following steps: (1) building a micro-grid and distribution network combined dispatching model; (2) building an efficiency-maximizing secondary dispatching model of the micro-grid; (3) optimizing the two dispatching models. According to the method, the micro-grid is taken as a controllable unit capable of dispatching independently; through coordinated dispatching of a controllable distributed power supply on the distribution network side, the micro-grid and the distribution network and bi-layer dispatching control of economic dispatch of distributed energy resources inside the micro-grid, the distributed energy resources are used in a maximized manner internally, the regional distribution network power supply and loads are dispatched optimally externally, and acceptance capability of the distraction network to the distributed power supply can be effectively improved.

The invention relates to an energy efficiency assessment model and an energy efficiency assessment method for a boiler system. The method comprises the following specific steps of: (1) collecting basic data of the boiler system; (2) inspecting economic running of a boiler, and putting forward an economic running employee evaluation form of the boiler; and (3) performing energy efficiency assessment on the boiler system: initially establishing an energy efficiency index system of the boiler system; performing data preprocessing on the initially-established energy efficiency index system, wherein data preprocessing comprises type uniformization of an evaluation index, non-dimensional normalization and optimal filtration; computing the value of a secondary index in the energy efficiency index system; computing weights of a primary index and the secondary index by applying a hierarchical comprehensive evaluation model, and completing objective assessment of the primary index based on G1 group judgment and subjective assessment of the secondary index based on an entropy method; and completing determination of the comprehensive weight of the hierarchical comprehensive evaluation model by adopting organic combination of expert experience and subjective data, establishing a mathematical model of comprehensive energy efficiency evaluation of the boiler system, and quantifying the evaluation result of the boiler system.

The invention discloses a composite energy charging energy storage system. The composite energy charging energy storage system comprises a monitoring scheduling module, a plurality of battery chargers, a power distribution module, a photovoltaic power generation module, a wind power generation module and a comprehensive energy storage module, wherein the power distribution module is connected with an external power grid; the comprehensive energy storage module is used for storing energy; and the power distribution module, the photovoltaic power generation module, the wind power generation module and the comprehensive energy storage module are connected through direct current buses and are connected to the monitoring scheduling module through data buses. The system is used for collecting required parameters, establishing an economic scheduling mathematical model for the composite energy charging energy storage system, and obtaining an optimum scheduling instruction by virtue of an improved particle swarm algorithm. The composite energy charging energy storage system is environment-friendly, reduces the impact on the power grid, is stable in operation, meanwhile has high operation efficiency, and realizes economical operation.

The invention discloses a real-time monitoring method for the thermal efficiency and gas characteristics of a gas boiler. According to the method, basic gas characteristics are amended through real-time operating data of the boiler, so that real-time gas characteristics are obtained and applied to the calculation of the thermal efficiency of the gas boiler, and the real-time on-line monitoring of the thermal efficiency and the gas characteristics of the boiler is realized. The real-time monitoring method overcomes adverse effects caused by fluctuation of the gas characteristics on the calculation of the thermal efficiency of the boiler and is more accurate than a traditional method in which the thermal efficiency of the boiler is calculated by testing the gas characteristics regularly; an expensive on-line analyzer is not required to be additionally added on site, and the real-time monitoring method can be realized by fully utilizing existing conditions of a power plant and has good implementability and operability; and boiler operators can be guided by results in real time for optimization and adjustment, the economic operation of the boiler is facilitated, and the purpose of energy conservation and consumption reduction can be achieved.

The invention discloses a method for predicting a line loss rate of a power distribution network. The method comprises the steps of determining multiple electrical characteristic parameters, influencing the line loss rate, of the power distribution network, performing standardization processing on parameter values of the electrical characteristic parameters, and performing normalization processingon the line loss rate; by taking the parameter values of the electrical characteristic parameters as inputs of an input layer, and taking the value of the line loss rate as an output of an output layer, building an initial neural network model, wherein the initial neural network model comprises at least one hidden layer; determining the number of hidden layer nodes; by dynamically adjusting an inertial factor and a learning factor of a particle swarm algorithm, improving the particle swarm algorithm; by utilizing the improved particle swarm algorithm, optimizing a weight value and a thresholdvalue of the initial neural network model to determine an optimized neural network model; and inputting the electrical characteristic parameters of a power distribution network line to the optimizedneural network model, and predicting the line loss rate corresponding to the electrical characteristic parameters by utilizing the optimized neural network model.

The invention provides a hybrid drive waste heat utilization double-heat-pump system and a control method. The system comprises a hybrid drive gas heat pump system, a waste heat recycling water circulating system and an absorption type heat pump system. The hybrid power drive gas heat pump system comprises a gas engine, a motor, a stepless speed change device, a power coupling, an inverter, a lithium iron phosphate battery pack, a compressor, a four-way valve, the compressor and engagement and disengagement devices. By the adoption of the gas engine, in cooperation with the motor, after the power coupling stepless speed change, the compressor is driven to work, and the refrigeration / heating circulation of the heat pump system is achieved. After being recycled, low-grade high-temperature waste heat of an engine cylinder sleeve and exhaust is used as a power input source of the absorption type heat pump generator end, and separated supply of hot water and low-temperature water is achieved. By the adoption of the hybrid drive waste heat utilization double-heat-pump system and the control method, it can be guaranteed that the engine operates economically under different loads and the waste heat of the gas heat pump system is fully utilized, and the problem of the low waste heat utilization rate in summer is solved.

The invention belongs to the technical field of power systems and automation of the power systems, and discloses an emergency control optimization method of an electrolytic aluminum self-prepared power grid and based on transient state safety and stability. According to the method, safety and economy are combined, the method is used for making transient safety and stability control measures of the electrolytic aluminum self-prepared power grid, and reference is provided for safety and stability optimization control of an electrolytic aluminum production power supply system through time domain simulation and control cost function establishment.

The invention provides a regional integrated energy system energy storage configuration method considering an electric / thermal flexible load, and the method comprises the steps: firstly comprehensively analyzing the composition of the electric load and the thermal transmission characteristics of a heat supply system, and building an electric / thermal flexible load model; then, on the basis of the architecture of the known regional integrated energy system, establishing a model of each energy assembly, meanwhile, setting constraint conditions, including energy balance constraint, energy assembly output constraint, tie line transmission power constraint and energy storage constraint; secondly, considering system energy consumption, investment, operation and maintenance and compensation cost, and establishing an economic single-objective optimization model; and finally, based on the LINGO18.0 software, solving the established energy storage optimal configuration model to obtain the optimal output of each device and the optimal capacities of the storage battery and the heat storage tank. According to the method, the regional comprehensive energy system is subjected to energy storage optimization configuration, and the energy utilization efficiency is improved.

The invention discloses a CCHP type multi-time scale optimal scheduling method and system for micro grids. The multi-time scale optimal scheduling method comprises the steps of: firstly determining agrid compensation cost according to a switchable load and an adjustable load parameter from demand side response; respectively establishing operation gains according to a CCHP unit parameter, a lithium bromide absorption refrigeration unit and a phase-change energy storage device parameter, so as to establish a triple generation system operation gain; and finally establishing a system operation cost and a gain function, and carrying out optimal scheduling on a CCHP micro grid by adoption of a multi-time scale optimal scheduling strategy to ensure that the total cost is minimum. By adoption ofthe multi-time scale optimal scheduling method and system provided by the invention, electric vacancy can be effectively relieved, the reliability can be improved and the maximum utilization of renewable energy sources can be achieved.

The invention discloses device and method for cell wall breaking in a municipal sludge dewatering process. The device comprises an adjusting pond, a stirrer, a hot water tank, a hot water pump, a hot water pipe which is communicated with the adjusting pond through a heat exchanger, a sludge pump, a valve, a sludge inlet pipe which is communicated with the adjusting pond through the heat exchanger, an alkaline liquid tank, an alkaline liquid pump, an alkaline liquid pipe which is communicated with the adjusting pond, and a dewatering machine which is connected with the adjusting pond, wherein the filtrate from the dewatering machine is discharged through the heat exchanger, and the adjusting pond is provided with an alkaline liquid concentration sensor, a temperature sensor and a controller and is in connected connection with the sludge pump, a water pump, the alkaline liquid pump, the motor of the stirrer, the dewatering machine and the valve. The cell wall breaking method comprises the following steps of: (1) performing a pretest; (2) preparing an alkaline liquid; (3) loading sludge to the adjusting pond in which the sludge is preheated; (4) adding alkali to adjust the pH of the sludge and allowing mixed reactions to take place; (5) starting the dewatering machine and a filtrate return device; (6) detecting the sludge mixed reaction results at a preset time, to ensure optimum wall-breaking dewatering effect of the sludge; and (7) repeating from the step (3) to the step (6). The device and method provided by the invention are applied to the wall-breaking treatment prior to the dewatering treatment of the sludge, has a perfect structure, is easy to operate, and improves effects.

The invention discloses a security constraint-based real-time generation planning method. On the basis of a result of a day power generation plan, a turbine generator output plan of each time period in future 30 minutes is a capacity plane of a unit at each stage within 30 minutes in future is complied in an optimized way by combining the ultra-short period load prediction within 30 minutes and taking the security constraint of a power grid into consideration. By the method, the turbine generator output is moderately adjusted according to actual situations by fully utilizing the target and the characteristics of a real-time generation plan on the basis of carrying on the global optimum of the day power generation plan; the power limit in an actual system can be effectively eliminated or retarded; and the safe, excellent and economic operation of a power system is ensured.

The invention discloses a series-structure light-storing-type multi-micro-grid economical operation system and a method. The series-structure light-storing-type multi-micro-grid economical operation system comprises a primary system and a control system. The primary system is formed in the mode that two sub-micro-grids are connected in series through a grid-connection and off-grid switch K1, and the primary system comprises a photovoltaic power generation array, a storage battery and local loads. The control system is formed by sub-micro-grid controllers, photovoltaic controllers, energy storing controllers, load controllers and a communication network. According to the series-structure light-storing-type multi-micro-grid economical optimization method, a distributed model prediction control algorithm considering a peak-valley electricity price is adopted, and according to the source load characteristic and the operating characteristic in the multiple micro-grids, a micro-grid prediction model and an optimized objective function are established. The established series-structure light-storing-type multi-micro-grid economical operation system and the method have the important engineering application value in developing researching of planning, design, mode switching and optimizing operation of the light-storing-type multi-micro-grid system.

The invention discloses a micro-grid system monitoring method having a reactive automatic compensation function. The method includes steps of S1, obtaining a wind power unit operation data in real time and storing data by a wind power unit monitoring unit, obtaining micro-grid inner load power demand condition in real time, and performing prediction on output active power and reactive power of a wind power unit in a future predetermined moment according to the operation data of the wind power unit; S2, collecting grid connecting point voltage information and determining micro-grid active and reactive output demand according to large-grid scheduling commands at the same time; S3, realizing reactive optimization operation of the micro-grid by taking the micro-grid active and reactive output demand, current micro-grid inner load power demand, wind power unit output active and reactive power, SVG device output reactive power as constraint conditions and inhibiting voltage fluctuation. The method can predicate power generation power of the wind power unit in the micro-grid and load change of the micro-grid. By the combination with a multi-target optimization reactive power distribution method having active loss influence in the micro-grid under a wind power unit constant active power control mode, economical operation of the micro-grid is improved, participation of bulk power grid voltage adjustment of the micro-grid according to requirements of a bulk power grid during grid connection is ensured and voltage stability during grid-connected operation is guaranteed.

The embodiment of the invention provides a vehicle and ground-integrated capacity configuration method and a device for a railway vehicle. The method comprises steps: a comprehensive cost function isconstructed according to the whole life cycle cost of a vehicle-mounted energy storage system and ground energy replenishment cost; and an optimization algorithm is used to optimize the comprehensivecost function, and the optimized capacity configuration of the vehicle-mounted energy storage system is acquired. The comprehensive cost function constructed in the embodiment of the invention considers the capacity configuration of the vehicle-mounted energy storage system and the power match with a ground charging station, and the actual vehicle operation condition is reflected comprehensively;and the comprehensive cost function is optimized to obtain the optimized configuration of the vehicle-mounted energy storage system, and the economic operation of the whole railway vehicle network canbe realized.

The invention discloses a complementary micro-grid economic operation evaluation method considering small hydropower stations. The method comprises the following steps of: calculating an optimum proportion of each distributed power supply in a complementary micro-grid which is formed by combination of different distributed power supplies and energy storage capacity that needs to be configured for the distributed power supply on the basis of a primal-dual interior-point algorithm by taking energy storage capacity, a micro-grid equipment installation cost and system operation and maintenance cost as objective functions, and taking system capacity, a distributed power generation proportion and storage battery charge-discharge characteristics as constraint conditions; and establishing complementary micro-grid economic operation evaluation indexes, and carrying out comparison and analysis on a obtained complementary micro-grid, so as to form an optimum complementary micro-grid economic operation mode. A result shows that the micro-grid operation economic benefit is optimal when the contributions of three distributed power supplies including wind, light and water are complementary.

The present invention belongs to an energy management system used for a fertilizer enterprise. The energy management system comprises a DCS system, a PLC system, an SCADA system, an ERP system and an intelligent instrument which are connected with an OPC server separately. The OPC server is connected with a data acquisition unit, the data acquisition unit is connected with a data processing unit via a data storage unit, and the data processing unit is connected with an energy consumption balance modeling unit and an online monitoring webpage unit separately. The energy consumption balance modeling unit separately displays, via the online monitoring webpage unit, a yield consumption plan management display module, a production resource management control display module, an equipment energy efficiency diagnosis optimization display module, an energy consumption actual performance display module, an energy quality display module, an energy consumption analysis display module, an energy consumption cost display module, an environmental protection emission index monitoring display module, a danger source monitoring display module, an emergency management platform display module and a knowledge base management display module. The energy management system used for the fertilizer enterprise has the advantage of realizing the dynamic energy management of the fertilizer enterprise.

The invention relates to an adjustable heat collecting device for collecting heat dissipated by a rotary kiln body. The device is formed by connecting a plurality of independent heat collection units, wherein each heat collection unit comprises a heat collecting cover, a bracket and a position adjusting system; the heat collecting cover comprises a heated surface, a heat preserving material, a frame, a protective shield and the like; brackets are arranged on two sides of the rotary kiln body, the brackets on one side are directly connected with heat collecting shields, while the position adjusting systems are arranged between the brackets on the other side and the heat collecting covers; and each position adjusting system consists of a support mechanism and an execution mechanism. The heat collected from the rotary kiln body and the temperature of a heating working medium can be adjusted through the change of positions of the heat collection units, the connecting assembly way between the units of the heat collecting device and the change of the number of switching so as to ensure that the reclaimed heat and the surface temperature of the rotary kiln body are in a safe range, guarantee safe operation of the rotary kiln, and realize harmonization and unification of equipment safety, operation economy and heat reclaiming maximization.

The invention relates to a micro-energy network multi-time scale optimization control method based on double-layer model predictive control. A micro-energy network is coupled with three energy sources of electricity, heat and gas, and electricity-to-gas and battery-supercapacitor hybrid energy storage equipment is integrated into the micro-energy net. The invention provides a multi-time scale optimization control method based on double-layer model predictive control aiming at the problem of low reliability of an optimization control result of a micro-energy network system caused by uncertain factors such as wind and light output and load demand, and the multi-time scale optimization control method comprises an upper layer of long-time scale rolling optimization and a lower layer of short-time scale real-time rolling adjustment. The upper layer makes a long-time scale scheduling plan through multi-step rolling solution by taking system operation economy optimization as a target and combining time-of-use electricity price and natural gas price; and the lower layer aims at tracking the upper layer scheduling plan, and a super capacitor is introduced to cope with short-time scale power fluctuation of wind, light and load. According to the method, economical and safe operation of the micro-energy network can be realized on the premise of ensuring the wind and light absorption capability of the micro-energy network.

The invention discloses an economical operation control method for distribution transformers with a spare power automatic switching function. A distribution network system has three operation modes. When the distribution network system is in the control mode, power failure conditions of low-voltage sides of two transformers are detected first, and a relay is used for collecting on-off states of three phases of breakers on the low-voltage sides of the transformers; when any two phases are powered off or the three phases are all powered off, it is judged that the transformers are in a power failure state; then, switching is conducted according to different power failure conditions. In the switching process, firstly, a load is removed from the low voltage side of an original system; secondly, the high voltage on the other side is put into use, then the low voltage is put into use, and finally the high voltage on the fault side is removed. According to the economical operation control method, 10 KV-0.4 KV power distribution devices are combined to be an integral whole and controlled, so that the control difficulty is reduced; switching of the distribution transformers is automatically achieved according to built-in logical functions, so that no-load loss of the transformers is reduced, and economical operation is achieved. The reliability of no-voltage judgment is improved through multi-phase voltage detection, no-voltage faults can be detected more effectively, the quality of electric energy is improved, and the security of electric equipment is protected.

An elevator energy recovery ensuring system comprises an elevator energy feedback subsystem, an energy storage subsystem and a management subsystem. Energy fed back by an elevator is stored in the energy storage subsystem, operation of the energy storage subsystem is economically optimized, the purpose that elevator energy is completely recycled is achieved, emergency power supply guarantee is provided, and economic operation of the whole system can be achieved.

The invention relates to gas water treatment method of Luqi furnace coal gas making. It includes the following steps: removing solution gas for high pressure gas liquor; removing solid matter to gain primary gas liquor; removing oil and suspended matter to gain the first stage gas liquor; processing by double mediums filter to gain the second stage gas liquor; stripping by medium pressure stripper to gain final gas liquor; discomposing vapor phase in Luqi furnace. The final gas liquor reclaims changing gas. The second stage reclaims wet gas, processes de-dusting humidifying for crude gas, and reclaims to clean rough gas. The invention increases gas liquor multiplexing ratio by comprehensive processing of multiple step processing and classification reclamation.

The invention relates to an intelligent soot blowing method for a heat engine plant boiler. The intelligent soot blowing method includes the steps that, (1) according to a set soot blowing strategy, a flue soot blowing demand degree rule and a hearth soot blowing demand degree rule are respectively obtained from an established soot blowing degree expert confidence rule base; and (2) operating data of an on-site boiler are obtained, and compared with rule parameters of the flue soot blowing demand degree rule and the hearth soot blowing demand degree rule, further heating surface soot blowing demand degrees of a flue and a hearth are obtained, and a heating surface corresponding to the soot blowing demand degree rule is subjected to soot blowing when the soot blowing demand degree is bigger than a set demand degree. Compared with the prior art, existing timing soot blowing is changed into soot blowing as required through using the intelligent soot blowing method for the heat engine plant boiler, and the heat absorbing distribution conditions of the heating surfaces at all levels are changed; and the heat absorbing proportion of the heating surfaces at all levels is redistributed to maintain the stabilization of temperature, the utilization of micro-attemperation water is reduced and economy is improved.

The invention discloses a microgrid operation method based on bid balance, comprising: acquiring, by microgrid bidding unit agents, microgrid internal cleared electricity, optimizing with the goal of achieving maximum value of a profit function, and seeking for a bidding function capable of acquiring optimal power generation; solving, by a microgrid bidding management agent, a new microgrid internal power price and generation scheduling scheme on condition of supply-demand balance according to the reported bidding function, issuing a new microgrid internal power price to all microgrid bidding unit agents, updating the profit function according to the new power price, re-deciding a bidding function, reporting again the bidding function to the bidding management agent in order to calculate a power price and generation distribution, repeating the above steps until the power price converges, and using a converged value as a microgrid internal clearing power price; determining the final internal clearing power price as a final microgrid power generation scheme. The power generation distribution scheme acquired herein allows power generation total cost of microgrid distributed power supplies to be optimized to arrive at economical operation of a microgrid.

The invention provides an independent microgrid photovoltaic output power prediction method. In consideration of the problems that when an existing photovoltaic prediction algorithm model training set is selected, weather types are classified indistinctly and differences exist in the data at the same time of different dates of the same weather type, a selection method based on similar time is provided, and the errors caused by differences existing in the same time of different dates of a similar day in a traditional prediction method is avoided. The invention further provides an independent microgrid energy regulation method. Based on a current running state of a microgrid, the energy regulation method conducts optimal operation on a microgrid running device, a reserve power supply bidding model is built, an optimal reserve power supply combination which needs to be put into use at the current dispatching moment is obtained through solving the reserve power supply bidding model by means of an intelligent optimization algorithm, and therefore it is avoided that power supply is delayed since a reserve power supply which is needed to outputting power at the next dispatching moment has a planned time of starting running, so the power supply reliability of an independent microgrid is guaranteed and the economic operation is achieved at the same time.

The present invention discloses an active distribution network operation planning optimization method taking regard of electricity price response at a demand side. The method comprises: setting basicparameters of a particle swarm optimization, and performing initialization of an active distribution network operation plan corresponding to each particle; calculating a load variable amount and a netload of each node according to a demand side electricity price response formula; performing electric power system trend calculation, obtaining an active power requiring purchasing from a major network of each head-end node at each moment, and performing load cutting or electricity discarding according to a power off-limit condition; and calculating total operation cost of the active distributionnetwork, and obtaining an optimal operation plan and the minimum operation cost of the active distribution network through iteration of the particle swarm optimization. The active distribution networkoperation planning optimization method taking regard of electricity price response at a demand side considers cooperation regulation of a supply side and a demand side to commonly bring storage battery energy storage and electricity price responses at the demand side into the active distribution network operation plan optimization and fully develop peak cutting and valley filling capability of two sides of a 'source charge' so that receiving of an intermittent power supply is improved, a operation cost of a power distribution network is reduced and the active distribution network operation planning optimization method taking regard of electricity price response at a demand side can be applied to various occasions for distribution network operation optimization.

The invention provides an optimized scheduling method and device for a micro-energy grid of an intelligent agricultural greenhouse. The method comprises steps as follows: a scheduling optimizing model of the micro-energy grid is established on the basis of energy flowing models of micro-energy in the micro-energy grid of the intelligent photovoltaic facility agricultural greenhouse with the purpose that the comprehensive operation cost of the micro-energy grid in a day is lowest; the scheduling optimizing model is solved with a dynamic learning factor type second-order oscillation cultural particle swarm algorithm, and the operation scheduling strategy of the micro-energy grid is obtained. According to the optimized scheduling method and device for the micro-energy grid of the intelligent agricultural greenhouse, the scheduling optimizing model is solved with the dynamic learning factor type second-order oscillation cultural particle swarm algorithm, so that the scheduling strategy is obtained, the method and the device have higher operating speed, higher global searching ability and better convergence, and economical operation of the micro-energy grid of the intelligent photovoltaic facility agricultural greenhouse can be realized.

The invention discloses an operating method for an energy storage power generation system capable of adjusting reactive power. According to the operating method, a power generation apparatus, a load unit, an energy storage apparatus and SVG equipment are monitored concurrently; the power fluctuation value of the energy storage power generation system is collected in time; and the power fluctuation value is taken as the information source to dynamically adjust the power of the energy storage apparatus so as to smoothen the power of the grid-connection point and to improve the economical operation of the energy storage power generation system.

The invention discloses a distributed economic dispatch prediction control method for a direct-current microgrid cluster in the technical field of power systems. The method comprises the following steps: introducing an economic dispatch problem; modeling the direct-current microgrid cluster and a control circuit; and building a predictive function controller. When the method is mainly used for supplying multiple loads to a microgrid, power distribution needs to be optimized between the microgrid and a power generation unit to reduce the global power generation cost to the maximum extent, the method is composed of a local controller and a global third-stage controller, and under the control structure, the global third-stage controller carries out compensation through a prediction function controller based on a distributed dynamic consistency algorithm to generate the global optimal increment cost so as to achieve economic operation of the whole cluster; meanwhile, the method is different from the economic dispatching problem under the action of a traditional PI controller, the dynamic performance of the system is mainly improved by changing the bus voltage within a certain range, and the contradiction problem of algorithm optimization and large calculated amount is solved.

The invention discloses a low-voltage power distribution network multi-end combined power supplying structure based on an IPFC. The structure comprises a first power supplying feeder line and a second power supplying feeder line. A double-power-supply automatic transfer switch ATS is connected between the first power supplying feeder line and the second power supplying feeder line. The first power supplying feeder line is serially connected with a coupling transformer. The second power supplying feeder line is parallelly connected with a coupling transformer. The interline power flow controller (IPFC) is connected between the two coupling transformers. The interline power flow controller (IPFC) is parallelly connected with the double-power-supply automatic transfer switch (ATS). The low-voltage power distribution network multi-end combined power supplying structure settles problems such as reactive power flow control shortage, low-voltage parallel power supplying reverse power operation and electromagnetic circulation in traditional power transmission line compensation control.

The invention relates to a multiple energy coupling containing micro-energy network economic optimization scheduling method and device. The method includes obtaining the optimal solution of the cost target function of a network unit of a pre-established micro energy network; and utilizing the optimal solution to perform scheduling on the multiple energy coupling containing micro-energy network. According to the technical schemes, and through the providing of a multiple energy coupling containing micro-energy network economic scheduling strategy, the peak of electricity consumption can be reduced, the pressure of a power grid can be relived, the reliability and safety of power grid operation can be enhanced, and technical support can be provided for effectively absorbing clean energy in thecontext of discarding large amount of high-permeability photovoltaics and wind power.