108results about How to "Optimize the operation mode" patented technology

The invention relates to a distributed energy management method and device. The distributed energy management device is composed of a ground layer, an intermediate layer and an energy management layer. The ground layer comprises a distributed power controller, an energy storage controller, a load controller, an invertor, a converter and a breaker. The intermediate layer comprises a data communication module, an operation control module, an energy storage management module and a load management module. The energy management layer comprises a data communication and monitoring module, an economic dispatch and optimal operation module, a load prediction module and a power generation prediction module. The ground layer and the intermediate layer coordinate and control short-term power in a local micro-grid system to be stable; the energy management layer coordinates and controls long-term power in the micro-grid system where the energy management layer belongs to be stable, and economization of micro-grid operation is achieved; meanwhile, the distributed energy management device is clear in structure, functions are specific, and system upgrade and function extension are facilitated.

The invention discloses a self-healing control method of a distribution network, which adopts centralization coordination and the distribution coordination, has self-adaptability during signal treatment and generation of a control strategy, and can automatically complete the control process without manual intervention to coordinate actions of a relay protection device and a protection control device, actions of a switch and a smart switch and the action of a safety automatic device. The method comprises a distributed self-healing control step and a centralized self-healing control step, can determine the current operation state of the distribution network by collecting the voltage data, the current data, the on-off state and the like, and can apply an intelligent method to make a decisionso as to coordinated control the switch, the protection control device, the safety automatic device and the like, thereby enabling the distribution network to always transfer to a more healthy state,improving the safety, the reliability, the quality and the economy of the distribution network and enhancing the emergency capacity.

The invention discloses a system for regulating and optimizing smoke by power generation and recycle of residual heat of a sintering ring cold machine, which mainly comprises a ring cooling machine, a ring cooling machine wind box, a ring cooling machine wind chamber, a switching baffle door, a dual-pressure boiler without resisual heat and a steam filling and condensing type dual-pressure steam turbine, wherein the ring cooling machine wind chamber is divided into a high-temperature wind chamber and a low-temperature wind chamber which are respectively connected with the dual-pressure boilerwithout resisual heat through inlet flues, the steam outlet of the dual-pressure boiler without resisual heat is connected with the steam filling and condensing type dual-pressure steam turbine, and the outlet of a sediment chamber of the dual-pressure boiler without resisual heat is connected with a circulation fan through the flues and a wind complementing door. The invention has the highest efficiency in recovering residual heat, can use the resisual heat of sintering mineral materials at most, keeps stability, high efficiency and contineous operation for power generation by using the residual heat, and has important meaning for steal and iron plants.

Disclosed is a power distribution network fault handling method based on self-recovering control. By a centralized and distributed coordination power distribution network fault self-recovering control method, signal processing and control strategy generation are adaptive, the control process is automatically completed without manual intervention, and behaviors of a relay protection device and a protection control device, a switch and an intelligent switch, and an automatic safety device are coordinated. The power distribution network fault handling method includes the steps of automatic detection of power distribution network faults, distributed self-recovering control and centralized self-recovering control.

The invention discloses a distribution network dispatching assisted decision-making and fault analysis system, which includes an underlying operation system and a commercial database; a real-time database, which achieves data transmission and exchange through a CIM import / export module, a power management system (PMS) and third-party software, and performs data transmission and exchange through a database API module and an external electricity utilization information system; a software bus / communication service subsystem, which achieves data transmission and exchange through a communication / event recording module and a distribution intelligent terminal; a graphics subsystem, which adopts a 2D and / or 3D display mode and is used for processing and displaying graphical images of the entire system; and a power system algorithm analysis library for providing background algorithm support. According to the invention, a distribution network can be controlled automatically to choose an optimal operation through data acquisition and calculation and also has the capabilities of automatic inspection and fault clearing, and the system has powerful functions, can be used with an existing device through networking, and has high values for promotion and application.

The invention discloses an online intelligent learning decision optimization method and system for a combustion gas distributed energy system, and the method comprises the following steps: collectinginput and output parameters of individual devices of an energy center station and substations, and building an individual device dynamic model according to the input and output parameters of the individual devices; building a decision optimization control model of the whole energy station, solving and obtaining an optimal unit operation instruction model, and transmitting the instruction to a DCScontroller of the energy center station and a controller of substation individual devices. The method obtains a corresponding unit optimal operation parameter group, completes the optimal distributionof unit loads, transmits the unit loads to all energy substations, achieves the overall energy efficiency optimization of the energy center station and substations, enables the overall energy utilization efficiency and economic benefits of the system to be better, achieves the maximum operation benefits, and is relatively stable in system benefits.

The invention discloses a massive blackout recovery technique which is realized through massive blackout recognition, effective isolation of a transfer region, analysis on a transfer load, optimized reconstruction containing distributed power supplies, dynamic adjustment operation and optimization and recovery on a running mode, power can be recovered and supplied within a short time after generation of massive blackout in a distribution grid, by means of convenience of distribution automation, a larger number of switching operation can be completed within the short time, during the process, the transfer region is effectively isolated to guarantee power supply safety, during optimized reconstruction of the distributed power supplies, a reasonable starting principle and a calculation mode are adopted to ensure the feasibility and rationality of a reconstitution scheme, during dynamic operation adjustment, small-range network reconstruction is adopted to the greatest extent during secondary network reconstruction so as to ensure time requirement of calculation speed and power recovery, and after fault removal and bus decompression relief, the original running mode can be timely recovered so as to guarantee optimized running of the running mode.

The invention discloses a power distribution network load calibration method based on big data analysis. The method comprises the steps of acquiring basic data based on a power distribution automatic system; filtering distortion load curves which are affected by a specific event through associated data analysis; eliminating load curved with severe shape distortion by means of an average per-unit value method; processing burr data according to a 3sigma principle; and completing lost data through an interpolation method. The invention further provides a power distribution network load calibration device based on big data analysis, wherein the power distribution network load calibration device comprises a data acquiring module and a data calibration module. According to the power distribution network load calibration method and the power distribution network load calibration device, big data analysis technology is utilized; intelligent identification and abnormity correction are performed on power distribution network load data in multiple dimensions, thereby ensuring high effectiveness of the load data and improving quality and efficiency in load calibration. Furthermore the power distribution network load calibration method is concise and effective and is suitable for engineering practical application.

The invention provides a management method and device for a game server cluster and electronic equipment, the game server cluster comprises a first server instance group with a fixed number of serverinstances and a second server instance group with an adjustable number of server instances, and the method comprises the following steps: monitoring the load of the game server cluster; and if the load is higher than the first threshold value, running the first type of game process through the first server instance group, running the second type of game process through the second server instance group, and adjusting the number of server instances in the second server instance group according to the size of the load. The operation mode of the game server cluster can be effectively improved.

The invention discloses an improved series-parallel operating device of a mixed ion exchanger, comprising a primary mixed bed, a secondary mixed bed, a water inlet main pipe and a water outlet main pipe, wherein a communicating valve is arranged between the primary mixed bed and the secondary mixed bed, so that the two mixed beds can operate in series and in parallel, and the mixed beds connected in series can realize secondary exchange. The improved series-parallel operating device has the advantages that an operating mode is convenient to adjust according to the conditions of water source and water quality, the mixed beds connected in series can realize secondary exchange, the equilibrium of the regeneration period of all resin is ensured, and the service life of the resin is prolonged.

The invention aims at a multipath power distribution branch circuit with an intelligent breaker and provides a ship power distribution monitoring information acquisition system which is characterized by comprising a main control box and N subcontrol boxes, wherein each subcontrol box is independently connected with the main control box; the main control box comprises a field acquisition and communication module, a data processing module and a network communication module, wherein the field acquisition and communication module in the main control box is directly connected with the intelligent breaker arranged on the required monitored power distribution branch circuit in parallel and is used for collecting data, the input end of the data processing module is connected with the field acquisition and communication module in the main control box and the subcontrol boxes, the data processing module is used for processing all data collected by the main control box and the subcontrol boxes and reporting a result to the network communication module, and the result is transmitted to an upper-layer monitoring network by a two-way CAN bus; and each subcontrol box comprises a field acquisition and communication module and a retransmission unit, wherein the field acquisition and communication module is connected with the intelligent breaker arranged on the required monitored power distribution branch circuit and is used for transmitting the collected data to the main control box from the retransmission unit.

The invention belongs to the technical field of sewage treatment and particularly relates to an integrated air lift SBR reactor for treating rural nonconcentrated domestic sewage. The device has a cylindrical shape and is internally divided into a regulation tank, a biochemical reaction tank and a sludge tank; and sewage and sludge are lifted by a self-designed air lifter. The regulation tank is used for regulating water quality and volume; an aerating air pipe and a stirrer are arranged in the biochemical reaction tank, and the stirrer is mainly used for anoxic denitrification; the air lifter for lifting the sewage and the sludge has various functions of isolating oil and floating slag, exhausting air, preventing a large amount of the sludge at bottom from being lifted and the like, so the operation management is simplified while a decanter and a sludge lifting pump are saved; and the sludge in the sludge tank is discharged once half a year. Comprehensively, the device of the invention has the advantages of large-scale production, convenient on-spot installation and operation management, high effluent quality, stable operation, convenient management and low investment and operation cost and therefore can fully meet the actual needs for the treatment of the rural nonconcentrated domestic sewage.

The invention discloses an intelligent identification and optimization method for the operation mode of a park power distribution system. The method comprises the steps of: collecting the historical related data of a park to perform photovoltaic output prediction and load prediction; proposing a Bayesian probability graph model based on node voltage and switch state association according to a current topological structure, and effectively identifying the operation mode of the current topology of the park distribution network system by adopting a confidence degree reasoning algorithm; and providing a distribution network operation optimization model taking transformer substation load rate balance as a target on the basis of the operation mode of the current topology with photovoltaic outputand a load prediction result fully considered. According to the method of the invention, under the condition of comprehensively considering the photovoltaic output, load prediction and the like, thepower flow constraint and transfer constraint of the network are fully considered, and the operation mode of the park topology, which enables the optimal substation load balance is solved by adoptinga genetic algorithm, so that the day-ahead optimized power supply reliability of the park power distribution system is ensured.

The invention discloses a multi-dimensional multi-phase multi-process coupling analog method of activated sludge sewage treatment. According to the -dimensional multi-phase multi-process coupling analog method, based on a multi-phase flow theory, activated sludge used as a solid phase, a gas phase (bubbles) aerated in an activated sludge system and a liquid phase (sewage) form a three-phase composite system, a sludge-water-gas movement characteristic and an interphase physical function in a sewage treatment system are reasonably described by adopting a multi-phase flow movement equation; and meanwhile, an oxygen mass transfer equation and a pollutant migration and transformation equation are further combined, and a distribution characteristic of dissolved oxygen in a system, a migration and transformation characteristic of pollutants and an interphase biochemical action characteristic are accurately predicted. By adopting a coupling model disclosed by the invention, the part of an activated sludge system, at which sludge easily deposits, and effluent quality conditions under different working conditions can be quantitatively predicted, and the great significance is achieved for the maintenance of normal operation in a sewage treatment plant.

The invention discloses an optimization method for an air compressor system of an iron and steel plant. The optimization method comprises the following steps of: building compressed air pressure and flow demand models of each user; reading real-time data of compressed air of each user, optimizing the compressed air pressure and flow demand models of each user according to the real-time data of thecompressed air of each user, and giving a pressure set value of a compressed air pipe network; setting the running state of an air compressor of each air compressor station of the air compressor system according to the pressure set value of the compressed air pipe network; judging whether the air compressor system is in an optimal state or not, and maintaining the air compressor system to run inthe optimal state if the air compressor system is in the optimal state; otherwise, re-giving a pressure set value of the compressed air pipe network until the air compressor system is judged to be inthe optimal state, and maintaining the air compressor system to run in the optimal state. The optimization method disclosed by the invention adopts cluster optimization, can realize scientific start,stop, loading and unloading operations of the air compressor, realizes precise control on the pressure of the compressed air pipe network, reduces the pressure level of the compressed air pipe networkand reduces energy loss.

The invention provides an autotrophic denitrification deep denitrification device, and belongs to the technical field of wastewater deep denitrification. The device comprises an adjusting tank, a reactor and a sedimentation tank; a sludge discharge area is arranged at the bottom end in the reactor; a water distribution pipe is arranged above the sludge discharge area; a filter screen is arranged between the sludge discharge area and the water distribution pipe; a reaction area is arranged on the water distribution pipe; and a gas collection area is arranged above the reaction area. According to the device, an autotrophic denitrification biological filter bed is constructed, and types and proportions of fillers in the reaction area are optimized. The invention also discloses an autotrophicdenitrification deep denitrification method. The method optimizes the operation mode and operation condition and improves biological activity and denitrification capacity of autotrophic denitrification bacteria in a system, so that the starting time is shortened, and the denitrification effect of the system is enhanced. The autotrophic denitrification deep denitrification device has the characteristics of low energy consumption, quick reaction, no secondary pollution and the like, and solves the problems of long starting time, high sulfate radical concentration of outlet water, easy blockage,easy sulfur outflow and the like of an existing autotrophic denitrification technology in a process of treating low-carbon-source sewage.

The invention relates to a power system energy and standby combined scheduling method based on power supply reliability and belongs to the technical field of power system scheduling. According to thescheduling method, the minimum sum of power system energy cost, standby cost and risk loss cost is taken as a target, a power shortage expectation is taken as a reliability index for constraint, and an obtained power system operation mode is optimized. According to the method, a system standby capacity is determined according to s real-time load level and a startup combination of the power system,the system standby pressure is effectively relieved, power generation resources are fully utilized, the system operation standby cost is saved, and the economy of power system operation is improved.The method can be used for large power grid energy and standby combined economic scheduling, the reliability of the system operation can be significantly improved with a small cost increment, and themethod has important practical significance and good application prospects.

The invention relates to an electricity, heat and gas coupling park comprehensive energy system operation optimization method considering multiple energy flows of a network. The method comprises the steps of 1, carrying out mathematical modeling of a power distribution network; 2, carrying out mathematical modeling of the natural gas pipeline network; 3, carrying out mathematical modeling of the heat supply pipe network; 4, modeling the external characteristics of the energy supply equipment; 5, constructing a mathematical optimization problem; and 6, solving an optimization problem. The system has the beneficial effects that 1, coordinated optimization of three energy systems including electric power, natural gas and thermal power of the park comprehensive energy system can be achieved; 2, the method provided by the invention can calculate network details (reactive power in a power grid, node voltage, node air pressure in a natural gas system, pipeline airflow, return water temperature in a thermodynamic system, water pump power and the like) of each energy system, and analyzes the influence of the equipment access position on the system;.

The invention provides a source network load storage coordination power system production simulation method. The method comprises the steps of: establishing a power generation side unit scheduling cost model, a load demand side resource scheduling cost model and a system carbon emission cost model; according to the models, taking the minimum total cost of the system in a production simulation period as a target to establish an optimization model comprising a target function and a constraint condition; and according to the optimization model, obtaining each time point and each area in the production simulation period: various power source generation power, demand response load reduction power, demand response load transfer-out power, demand response load transfer-in power and energy storagecharge-discharge power, and transmission channel transmission power in each cross-district at each time point in the production simulation period. The source network load storage coordination power system production simulation method employs the mathematical models to obtain an optimization operation mode of the power source, the power grid, the load side resource and the energy storage to ensurethe coordination of the scheduling modes of various resources and achieve the whole optimization of the system.

The invention discloses an all-vanadium flow battery energy storage system operation optimization method based on a genetic algorithm. The all-vanadium flow battery energy storage system operation optimization method comprises the steps: 1, establishing a mathematical model of an all-vanadium flow battery according to an equivalent circuit model of the all-vanadium flow battery; 2, performing parameter identification; 3, constructing an instantaneous energy efficiency equation; 4, constructing a cost function of the highest instantaneous energy efficiency to minimize energy loss, and determining constraint conditions; 5, constructing a fitness function, and selecting a probability function and a variation probability function; and 6, calculating by adopting a genetic algorithm, and solvingthe input power value PCh / Dis and the residual electric quantity SOC to obtain the highest instantaneous energy efficiency when the absolute value of the instantaneous energy efficiency error is smaller than a specified numerical value, and corresponding flow velocity, temperature and voltage. According to the all-vanadium flow battery energy storage system operation optimization method, the energy storage system of the all-vanadium redox flow battery is optimized by adopting a genetic algorithm according to three factors of temperature, flow velocity and current, so that the instantaneous energy efficiency of a galvanic pile is improved, and the system efficiency of the all-vanadium redox flow battery is further improved.

The invention provides an electronic detonator assembling and production unit line which comprises a basic detonator feeding module, an electronic ignition part feeding module, a basic detonator clamping robot, an ignition part grabbing robot, a full-automatic assembling unit machine, an intermediate packing machine and a finished product transfer box conveying module. The basic detonator clampingrobot clamps basic detonators provided by the basic detonator feeding module to be conveyed into a closing device of the full-automatic assembling unit machine. The ignition part grabbing robot clamps electronic ignition parts provided by the electronic ignition part feeding module to be conveyed into the closing device where the basic detonators are already placed. The full-automatic assemblingunit machine is used for completing assembling of the basis detonators and the electronic ignition parts in the closing device. The ignition part grabbing robot conveys the assembled electronic detonators into the intermediate packing machine to complete intermediate packing. The finished product transfer box conveying module is used for loading electronic detonator finished products with intermediate packing completed and conveying the electronic detonator finished products out of the assembling and production unit line. By means of the electronic detonator assembling and production unit line, unmanned and full-automatic assembling of electronic detonators is achieved, and production efficiency and safety are high.

The invention provides an optimized operation method, device and system of a multi-fed alternating-current and direct-current hybrid power grid, and relates to the technical field of power grid dispatching. The method comprises the following steps of acquiring operation indexes of a power grid, wherein the operation indexes comprise average power transmission betweenness and main variable load rate of a partition center; constructing a power grid operation mode model based on the operation indexes and a pre-constructed constraint conditions, wherein the constraint conditions comprise generalized short circuit ratio constraint and short-circuit current constraint; and solving the power grid operation mode model to obtain the optimal operation scheme of the power grid. According to the method, the influence of the generalized short circuit ratio and the short-circuit current of the multi-fed alternating-current and direct-current hybrid power grid on the operation mode can be comprehensively considered, so that the operation mode of the power grid is effectively optimized.

The invention discloses a determination method for a power grid operation manner for configuring a parallel capacitor to alleviate voltage sag. The determination method comprises the following steps: 1, determining a parallel capacitor configuring scheme: 101, obtaining a selectable parallel capacitor configuration scheme of a power grid; 102, judging the feasibility; 103, judging gird loss of the power grid; 104, judging voltage sag influences; 105, judging investment cost and determining and optimizing the parallel capacitor configuring scheme; 2, optimizing the power grid operation manner: 201, determining a selectable operation manner of the power grid; 202, judging the feasibility; 203, judging the economical efficiency; 204, judging the optimization ability and determining an optimized operation manner of a power grid to be optimized. The method is simple, reasonable in design, convenient to realize and good in utilization effect; the determined operation manner of the power grid is reasonable; the grid loss is reduced and the voltage sag can also be effectively alleviated; the determination method also consider the economical efficiency of configuring the parallel capacitor of the power grid, and safety operation and economical operation of the power grid can be realized.

The invention relates to a building combined cooling heating and power system and method based on a proton exchange membrane fuel cell. The system comprises a fuel cell module, a heat recovery module, a heat storage module and an electric energy management module. The heat recovery module is used for heating cooling water of the fuel cell module and supplying heat of the cooling water to the heat storage module through a heat exchanger; the heat storage module is connected with the heat exchanger through a buffer water tank to form a loop so as to recover heat of the cooling water and provide a heat source and a water source for heating equipment and a user hot water load respectively through a heat storage water tank; the electric energy management module includes a user electrical load and refrigeration equipment that may be powered by the fuel cell module. By heating the cooling water, the problem that the cathode side is frozen during cold start of the fuel cell is solved, the service life of the cell is prolonged, and the operation stability of the system is improved. Waste heat generated by operation of the fuel cell is reasonably utilized, an efficient combined cooling heating and power system is formed, and the comprehensive energy utilization rate of the system is increased.

The invention relates to the technical field of circuit breakers. The invention particularly relates to an intelligent miniature circuit breaker based on the Internet of Things sea computing technology and a setting method. The circuit breaker comprises a collection unit, a monitoring unit and an execution unit; the collection unit comprises a data collection module and a signal processing module;the monitoring unit comprises a central processing unit integrating an Internet of Things sea computing algorithm and a metering module; the execution unit comprises a control module, a storage module and a communication module; the signal processing module is electrically connected with the data acquisition module and the metering module; the central processing unit is electrically connected with the metering module, the control module, the storage module and the communication module; and the data acquisition module comprises a current sampling circuit, a voltage sampling circuit, a leakagecurrent detection circuit and a temperature detection circuit, and sends current detection data, voltage detection data, leakage current detection data and temperature detection data to the central processing unit through the signal processing module and the metering module respectively.

The invention discloses a power distribution network reliability evaluation system considering an overhaul strategy and an equipment health index. The system comprises a power grid data acquisition module, an overhaul strategy acquisition module, an equipment health index calculation module, an equipment health index calculation module, an equipment reliability calculation module, a power distribution network fault probability calculation module, an operation scheme generation module, a reliability evaluation module and a database. The system provided by the invention can be used for evaluating the fault risk of the power distribution network under various conditions, facilitates the improvement of the operation mode of the power distribution network and the optimization of an overhaul strategy, and facilitates the improvement of a standby management system of an electric power company.

The invention discloses a power distribution emergent repairing system capable of fully perceiving and monitoring operation of a power distribution network. The system comprises a control layer, an equipment state monitoring mechanism in signal interconnection with the control layer, a power grid state management and control mechanism which is matched with the equipment state monitoring mechanismand is in signal interconnection with the control layer as well as an automatic execution mechanism which is in signal interconnection with the control layer and used for executing corresponding operation of the equipment state monitoring mechanism and the power grid state management and control mechanism, wherein the control layer comprises a data processing module, a display module in signal interconnection with the data processing module, a data interaction module in signal interconnection with the data processing module, a mobile intelligent terminal in signal interconnection with a data exchange module as well as an emergent repairing information push module in signal interconnection with the data processing module. The system can fully perceive the equipment state and the circuit operation state of the power distribution network and timely sends fault information to relevant responsible people of the power distribution emergent repairing center, so that people concerned timely processes faults, the power service interruption time is shortened, and the power supply reliability is improved.

The invention relates to an automatic low-voltage power distribution network reconstruction operation method based on a bisection difference value grouping search method. The automatic low-voltage power distribution network reconstruction operation method includes (1), judging whether loads of two inlet wires are equal or not, and if not, redistributing the loads; the step (1) specifically includes 1), performing bisection method search to acquire a load or a combination of multiple loads to form a switching load, and 2), switching the selected switching load to enable the same to be connected to another inlet wire, and completing load redistribution. The automatic low-voltage power distribution network reconstruction operation method has the advantages that line losses caused by nonuniformity in distributed loads of double power sources are reduced, existing electric power computer networks are utilized effectively, load distribution is analyzed accurately, rapidly, comprehensively in real-time, online automatic reconstruction of a low-voltage power distribution network is realized, quality of electric energy is improved greatly, economic operation of the power distribution network is promoted greatly through operation mode optimization, and both economic benefit and social benefit are huge.