58 results about "Power system restoration" patented technology

The invention relates to an operation and safety monitoring simulation system for a power system, which comprises a power system full digital real-time simulation subsystem used for simulating the operation of a large-scale power system in real time and providing simulation data to other subsystems, a power market simulation subsystem used for simulating and training power market transaction, a PMU / WAMS subsystem used for carrying out real-time dynamic monitoring and analysis on a simulated power system, an SCADA / EMS subsystem used for monitoring and analyzing the simulated power system, a fault information management subsystem used for managing and comprehensively utilizing fault information, a power system dynamic safety assessment and early warning subsystem used for carrying out safety assessment and early warning on the current power system and carrying out safety verification on the operation mode of a future plan, a safety and stability control system performance test subsystem used for testing the performance of a protective relay device, a power system stabilizer (PSS) and other automated equipment as well as a safety and stability control system and equipment, a power system fault diagnosis subsystem used for carrying out on-line diagnosis and intelligent safety alarming on the fault of the simulated power system and providing a dispatching control decision under the fault condition, and a power system recovery control subsystem used for recognizing the state of the fault of the simulated power system, searching and inferring the power supply path of an outage region and providing a power grid recovery control strategy. The system can simulate the operation of a large-scale power grid in real time, and can be used for searching and comprehensively testing the technology and software of various power systems in dispatching, operation, control and other aspects.

Techniques for power outage management and power support restoration for devices in a wireless network are disclosed herein. Such a wireless network may include a number of bi-directional nodes in bi-directional wireless communication with one or more central nodes. Each bi-directional node may have a wireless communication path to one of the central nodes that is either a direct path or an indirect path through one or more intermediate bi-directional nodes serving as relays. Each bi-directional node may be configured to detect when it has become stranded such that it can no longer communicate with its assigned central node via its assigned communication path, to determine a reason for its stranding, and to transmit a stranding notification and the reason therefore.

File system restoration is made more flexible through the use of indicators of individual file restoration status throughout the restoration process. Such indicators are particularly useful in the restoration of large file systems where, for example, the number of files may range upwards of several hundred million. Since file system restoration for large systems takes such a relatively long time, the present invention provides various degrees of individual file access even as the restoration process is being carried out. During file system restoration times, file access may be full or limited to a file's attributes. Most advantageously, the present invention is capable of providing full, dynamically driven (on-demand) file access even during file system restoration operations.

The invention relates to an on-line large power grid recovery assistant decision-making system. The system comprises two work modes, namely a real-time assistant mode and a research and analysis mode, a fracture surface operation analysis module, a calculation configuration module, a calculation function module and a calculation management module, wherein the fracture surface operation analysis module is used for fracture surface reading and fracture surface adjustment, the calculation configuration module is used for setting calculation parameters and selecting a black-start power supply and a started power supply, the calculation function module is used for system partitioning, load flow calculation, electromagnetic transient calculation, electromechanical transient calculation and path search and assessment, and the calculation management module is used for displaying system partitioning schemes, voltage waveforms, ranking of available paths and a black-start generating scheme. When the on-line large power grid recovery assistant decision-making system is used for developing an on-line electric power system recovery assistant decision-making supporting system, existing data resources in a dispatching center can be sufficiently utilized, the advantages of the method of pre-arranged scheme recovery and intelligent dispatching are combined, a model does not need to be rebuilt, the construction time and cost of the system are reduced, the real-time performance and the accuracy of suggestions to decision-making are improved, and a powerful support is provided for rapid and reliable recovery of a power grid after power outages.

The invention provides a wire frame reconstruction method and a wire frame reconstruction device of an electrical power system. The wire frame reconstruction method includes: on the basis of grid-connection of a black-start unit and a thermal power generating unit, recovering the electrical power system initially to form an initial wire frame reconstruction system; according to historical data of output power of a wind turbine generator, acquiring predicted data of real-time output power of the wind turbine generator at the moment corresponding to a wire frame reconstruction moment; on the bases of the predicted data of the real-time output power of the wind turbine generator and the initial wire frame reconstruction system, calculating the maximum value of circuit security risk conditions when load capability for recovering is maximal, and calculating the minimum value of the circuit security risk conditions when the load capability for recovering is minimal; according to the maximum value and the minimum value of the circuit security risk conditions and the initial wire frame reconstruction system, constructing a next-stage wire frame preconstruction model; on the basis of the wire frame preconstruction model, acquiring a reasonable preconstruction wire frame. The wire frame reconstruction method and the wire frame reconstruction device have the advantage that the wind turbine generator is enabled to participate in electrical power system recovering after blackout accidents.

The invention discloses a multi-space-time navigating power system restoration decision support system and a restoration decision method. The system comprises a man-machine conversation layer being responsible for related display of a restorationdecision and the man-machine interactive operation, an interface adapting layer being responsible for interfacing withEMS and receiving power grid data, a data access layer used for providing underlying data support for a field service layer, and a modeling maintenance layer used for customizing and drawing various charts, wherein the interface adapting layer and the field service layer are connected with the man-machine conversation layer through network communication buses, the field service layer is connected with the data access layer, and the data access layer is connected with the modeling maintenance layer. The system and the method have the advantages that the efficiency and the success rate of power system restoration are improved, the whole-process covering on the restoration decision and the continuous online monitoring on the restoration process are realized, a dispatcher training simulation function is integrated, and the system and the method are applicable to the related power system restoration operation training.

The invention discloses a black-start method for expansion of an electric power system with micro-grids. The method includes the following steps that a power failure system is divided into a plurality of recovery sub-systems through the recovery sub-system division algorithm according to actual conditions of the power failure system; according to the expansion strategy that the micro-grid serves as a black-start power supply and one black-start power supply can start a plurality of units to be started at the same time, solution and optimization are carried out on a black-start scheme for expansion of the electric power system with the micro-grids; according to a determined optimal scheme, the recovery path of each recovery sub-system is charged by the micro-grids in the corresponding recovery sub-system, the recovery range is enlarged gradually, and the whole recovery sub-system is charged finally; a parallel sequence is determined according to the sequence of dividing the recovery sub-systems, all the recovery sub-systems are arranged side by side according to the corresponding sequence after successful black-start, and the whole electric power system is powered again. By means of the method, the electric power system can be powered again quickly, safety and stability of the electric power system are improved, and economic loss caused by power failure is reduced.

The invention discloses an electric power supporting method taking adjacent systems into consideration, and relates to the field of recovery and control of an electric power system. The method comprises the following steps: a, establishing an object function; b, contracting a node; c, calculating a line betweenness; and d, optimizing and recovering a line. According to the invention, through recovering a generator and a load as much as possible and searching for an optimal power delivery path, the network reconstruction process is accelerated, and the path recovery time is shortened. Besides, path recovery and power support of adjacent electric power systems in the condition of a climate disaster are taken into consideration, and black-start recovery after an electric power system fails completely is safer and more reliable.

A method for determining / dimensioning measures for restoring an electrical power system, which experiences or is heading for a voltage instability, to a steady-state condition, wherein there is no immediate risk of instability. An actual voltage / phase angle in the electrical power system is determined. The power unbalance within at least one sub-area in the electrical power system is determined. Suitable power-balancing measures are determined. The extent of the respective measures is determined. The power-balancing measures are carried out. Also, a device for carrying out the method.

Techniques for power outage management and power support restoration for devices in a wireless network are disclosed herein. Such a wireless network may include a number of bi-directional nodes in bi-directional wireless communication with one or more central nodes. Each bi-directional node may have a wireless communication path to one of the central nodes that is either a direct path or an indirect path through one or more intermediate bi-directional nodes serving as relays. Each bi-directional node may be configured to detect when it has become stranded such that it can no longer communicate with its assigned central node via its assigned communication path, to determine a reason for its stranding, and to transmit a stranding notification and the reason therefore.

The invention discloses a power supply restoration method for a power distribution network under a complete shutdown accident of a transformer substation. The method specifically comprises the following steps: making the power distribution network equivalent to an undirected weighed graph, and making switches of the power distribution network equivalent to sides of the graph, with feeder lines, distribution transform, loads and the like between the switches as vertexes of the undirected weighed graph; searching a proper path for power supply restoration on an operational bus before the accident of the complete shutdown transformer substation through other operational transformer substations; and searching the proper path for transferring the load carried by the complete shutdown transformer substation to other operational transformer substations, so that an assistant decision-making scheme of electricity restoration and load transfer of the substation after the complete shutdown accident of the transformer substation can be provided. Through the method, a power supply restoration scheme under the complete shutdown accident of transformer substation can be rapidly and effectively made; the management and control capacity of a dispatching operator on the power distribution network is improved; and a safe and stable operation of the power distribution network is ensured.

The invention relates to an active repairing method based on data processing of a smart meter, and belongs to the technical field of performing power outage judgment and actively repairing after a power outage event of a distribution network device occurs. Through interference filtering of power outage data of the smart meter, analysis and processing of short-term power outage running time, call study and judgment, etc., the study and judgment information on power outage is obtained to provide decision support for power supply service work, and power restoration as well as customer inform areactively arranged in advance if the customer does not report repairs to realize active repairs. The method provided by the invention ensures the availability of the function of power outage study andjudgment and active repair. With the help of the statistical analysis of the number of stations and lines in the power outage study and judgment and active repairing system, the weakened links of thepower outage-prone stations and lines are treated in a targeted manner, which effectively improves the reliability of equipment and the quality of power supply services.

The invention relates to the technical field of power system restoration, and provides a power system restoration force calculation method and a system based on a black start and a load restoration process. The method comprises the following steps: identifying the state of the power system, obtaining the basic data for calculating the power system, and establishing a network connection matrix M corresponding to the system; Screening out the power plants of the available black-start units in the system, calculating the sum of the weighted capacities of all the available black-start units in each power plant and the corresponding standard values; generating a minimum spanning tree T1 containing all recoverable plant nodes, and calculating an average shortest distance D1 and an average shortest distance D2; calculating an average value D of D1 and D2; the ratio of standard value 1 to D of the weighted sum of the black-start unit capacity is calculated, which provides a quantitative methodfor evaluating and analyzing the restoring force of the power system after a large blackout accident on the basis of fully considering the black-start and load restoring process.

The invention belongs to the technical field of power system recovery and control and particularly relates to an ant colony algorithm-based dimension reduction type power system net rack reconstruction method. The problem that the optimal searching dimension of a complex large power system with a large number of nodes and circuits is too large during the net rack reconstruction period of the system recovery can be solved. During the net rack reconstruction period of the power system, a trunk circuit is searched on the basis of an ant colony algorithm, and the states of states of one part of circuits in the system are determined. Therefore, the number of circuits with unknown states in the system is reduced. The dimension of the follow-up optimizing problem is reduced. The speed of the optimizing calculation is accelerated, and the optimizing efficiency is improved.

The invention discloses an electrical power system black start method based on a grey wolf optimization algorithm. The electrical power system black start method based on the grey wolf optimization algorithmcomprises the steps that machine sets and electrical power networks needing to be restored are firstly determined, and an electrical power system black start decision optimization model is established; electrical power systemrestoring overall time is selected as an optimized index; the initial state of an electrical power system which has power failure is determined, classification is conducted according to the machine sets, hydropower stations, pumped storage power stations or gas turbine generator units are taken as a black start power supply, preferred starting types are further started, and finally the whole electrical power system is restored; a plurality of decision schemes are obtained according to corresponding electrical power line current constraint and voltage constraintconditions; then a grey wolf algorithm is optimized from two stages of initialization and diversification of gray wolf populationand a nonlinear convergence equation; and finally corresponding power balance constraint and tide constraint conditions are taken as the evaluation basis of an adaptation coefficient, and thus the optimal decision scheme is found out.

The embodiment of the invention provides a calculation method for generator set output in electric system recovery. The calculation method for the generator set output in the electric system recovery mainly comprises the steps that aiming at the charging subsystem formed by recovered parts in power grids, a new generator set needing to be recovered closest to the charging subsystem is searched out based on a search algorithm, and the new generator set and the charging subsystem form the whole charging system; the whole charging system is started, the minimum regulating variable of the generator active output in the whole charging system is taken as the target, and optimal active output of each generator set in the whole charging system is calculated. The calculation method for the generator set output in the electric system recovery can effectively calculate the optimal active output of each generator set in the whole charging system, the regulating time can be shortened, and the total process of the electric system recovery is accelerated. The embodiment of the calculation method for the generator set output in the electric system recovery is simple in algorithm, and compared with a traditional method, the system recovery efficiency can be improved remarkably.

The invention provides a partitioning scheme optimizing method and device for power system restoration after blackout, and relates to the technical field of power systems. The method comprises the following steps: establishing a first optimizing model on the basis of the target strategy of fewest connecting lines between subsystems in a power grid and pre-established electrical characteristic constraint conditions of the power grid; solving the first optimizing model based on a preset solver to obtain a first partitioning scheme; processing the first optimizing model based on cutting constraint conditions to obtain a second optimizing model; solving the second optimizing model based on the solver to obtain a second partitioning scheme; evaluating the first partitioning scheme and the second partitioning scheme respectively according to established evaluation indexes to obtain evaluation results of the first partitioning scheme and the second partitioning scheme so as to determine a main partitioning scheme and a standby partitioning scheme from the partitioning schemes on the basis of the evaluation results. Therefore, restoration time after power grid faults can be shortened effectively, and high reliability of power grid restoration after the faults is guaranteed.

The invention discloses an intelligent distribution network distributed power supply restoration system. The system comprises a communication network module, wherein a distribution network module is electrically connected with the communication network module through N (N is greater than 2) STUs included in a STU module and an instruction is sent to the distribution network module through the STUmodule; a distribution network information module which includes network topology information, electrical quantity information and switch attribute information and executes the instruction sent by thecommunication network module through the STU; and a switch module which include a segment switch and contact switch, wherein te contact switch is used for dividing the distribution network into independent operation parts, and the contact switch is directly electrically connected to the non-fault power outage area to perform the closed operation to realize power supply restoration to the non-fault power outage area. Each STU can store its own information through its own terminal, and the STU can also store the terminal information of the adjacent STUs through upstream terminals or downstreamterminals in the storage terminals.

The invention discloses an emergency resource optimal configuration method suitable for power system recovery. The method is characterized in thaton the basis of considering investment cost of an emergency power supply vehicle, power failure loss cost of a transformer substation, operation and maintenance cost of an emergency power supply and power transmission cost under the constraint of a traffic network, calculating the spectral importance, the load capacity importance and the load importance of a node of the power system, and evaluating power failure retrieval loss of the node and establishing optimal configuration of an emergency power supply vehicle, and finally performing iterative computation by using a discrete binary particle swarm algorithm to obtain the optimal configuration location of the emergency power supply vehicle and an optimal route for power system recovery. The method is advantaged in that on the basis of comprehensively considering factors such as manufacturingcost of the emergency power supply vehicle, the maximum loss of configuration retrieval of the emergency power supply vehicle is used as a target function, and a discrete binary particle swarm algorithm is used for obtaining an emergency power supply vehicle configuration sequence. The method is scientific and reasonable, and economic loss caused by blackout can be reduced to the maximum extent.

The application relates to the power system single-phase earth fault protection technical field, and especially relates to a single-phase earth fault solving method based on a multi-tap arc suppression coil; the method comprises the following steps: enabling the multi-tap arc suppression coil to output an induction current if the single-phase earth fault is not an immediacy fault, and compensatinga capacitive current of the power system; in addition, starting reversed polarity winding work, and enabling the multi-tap arc suppression coil to enter an excessive compensation state; setting tapsof the inputted reversed polarity winding according to the power system requirements; determining a phase and selecting a line for the single-phase earth fault; enabling the reversed polarity windingto be in a bypass state, and enabling the multi-tap arc suppression coil to process the single-phase earth fault; enabling the multi-tap arc suppression coil to enter a waiting state when the single-phase earth fault is processed, and allowing the power system to restore normal operation. The method can enable the induction current formed by the multi-tap arc suppression coil to form disturbances,thus realizing the earth fault phase determination and line selection function.

The present invention relates to a method for calculating the grid reconfiguration efficiency in a power system restoration process. The technical features of the grid system include: reading the data of the power system after a large power outage; calculating the accumulated generation capacity of the generator set so that the capacity is used to evaluate a unit recovery efficiency; calculating the cumulative economic loss on the load side to evaluate the load recovery efficiency; normalizing and processing the cumulative generation capacity on the generating unit side and cumulative economic loss on the load side; using the linear summation method to process the normalized cumulative generation capacity and cumulative economy loss as the grid reconstruction efficiency; and according to the efficiency of different power system grid reconstruction schemes, selecting the appropriate grid reconstruction scheme. The method of the invention is reasonably designed and can make comprehensive and reasonable evaluations on different grid reconstruction schemes to provide a decision basis for power system recovery so as to be able to better guide the power system recovery process.

The invention provides an electric power system recovering method for a centralized electric vehicle charging station, and aims to solve the problem that a regional electric vehicle system without a regular black-start unit or insufficient in black-start unit capacity cannot recover normally. The electric power system recovering method includes that firstly, an available battery capacity of the charging station is modeled to obtain a starting capacity which can be provided for the charging station at a power cut moment of an electric power system; secondly, a net rack reconstruction model based on double-layer optimization is established, in an upper-layer model, a maximized generating capacity available for the electric power system is used as a target to determine a recovering time for a generator unit, and in a lower-layer model, the minimal sum of charging capacities of circuits is used as a target to determine a recovering path; thirdly, relevant uncertain factors are processed by chance constrain programming, a double-layer net rack reconstruction model optimization model based on chance constrain programming is established by means combining chance constrain programming with the double-layer optimization model, and then an optimization problem is solved by a modified particle swarm optimization method.

The invention discloses a sequential recovery method and device for a power system based on deep reinforcement learning. The method comprises the following steps: constructing a power system recovery model which comprises a deep reinforcement learning Q value estimation network and a Target Q network, and training the power system recovery model. According to the invention, based on the power network after a cascade failure and through a bus recovery sequence obtained after deep reinforcement learning, the recovery capability of the power network system to the cascade failure in a system recovery process is evaluated, reinforcement learning is combined with the power network, and the recovery problem of the power network is considered from the perspective of defenders; and through combination with a neural network, the implementation range of the power network is expanded; that is, an optimal recovery strategy of a large power grid can be found.

The invention provides a transmission and distribution network coordination recovery method considering high-proportion distributed power supply access. The method comprises the following steps of: firstly, comprehensively considering recovery targets in three aspects of a main unit, a transmission network load and a distribution network load in a system, and establishing a mathematical model forcoordinating the recovery effect of a transmission network layer and a distribution network layer; and then, by introducing a penalty function, changing the output of the distributed power supply to the transmission and distribution network at different stages, and realizing multi-stage transmission and distribution network coordination recovery. A hierarchical sequence method, a backtracking algorithm and a greedy algorithm of multi-objective optimization are combined to carry out optimization solution on the whole transmission and distribution network coordination recovery process. Accordingto the method, the utilization rate of a black-start power supply in a power system after blackout can be improved by changing different outputs of the distributed power supply to the power transmission and distribution network in different stages of blackout, coordinated recovery of the power transmission and distribution network is realized, the recovery efficiency of the power system can be improved, recovery of the power system can be accelerated to a certain extent, and a series of losses caused by blackout are reduced.

The invention provides a partitioning scheme optimizing method and device for power system restoration after blackout, and relates to the technical field of power systems. The method comprises the following steps: establishing a first optimizing model on the basis of the target strategy of fewest connecting lines between subsystems in a power grid and pre-established electrical characteristic constraint conditions of the power grid; solving the first optimizing model based on a preset solver to obtain a first partitioning scheme; processing the first optimizing model based on cutting constraint conditions to obtain a second optimizing model; solving the second optimizing model based on the solver to obtain a second partitioning scheme; evaluating the first partitioning scheme and the second partitioning scheme respectively according to established evaluation indexes to obtain evaluation results of the first partitioning scheme and the second partitioning scheme so as to determine a main partitioning scheme and a standby partitioning scheme from the partitioning schemes on the basis of the evaluation results. Therefore, restoration time after power grid faults can be shortened effectively, and high reliability of power grid restoration after the faults is guaranteed.