363 results about "Tie line" patented technology

The invention discloses a state grid provincial multi-stage power system cooperative scheduling operation method and device. Comprising the following steps: constructing a state-grid-province multi-stage power system collaborative scheduling model according to a state dispatching target demand, a network dispatching target demand, a province dispatching target demand, load balance constraints of each level, multiple direct dispatching unit output upper and lower limit constraints, tie line transaction constraints, province dispatching unit output constraints and positive and negative standby constraints; constructing a provincial domain equivalent aggregation node and a network domain equivalent aggregation node to simplify the structure of the state grid provincial multi-stage power system collaborative scheduling model; and solving the simplified state grid provincial multi-stage power system cooperative scheduling model based on a target cascade method to obtain a multi-stage power system cooperative scheduling operation result. The invention belongs to the field of power system collaboration. According to the method, the optimization scheduling solving efficiency of the power system under whole-network cooperation is improved.

The invention provides a virtual power plant planning method and system based on flexibility vacancy partition evaluation. The method comprises the steps that node flexibility supply and power fluctuation quantity are calculated; determining tie line transmission capability constraints, and constructing a flexibility mutual aid scheme optimization model; solving the model to obtain a flexibility mutual aid scheme; calculating the adjustment demand of each partition in combination with a node flexibility supply and demand and flexibility mutual aid scheme; constructing a controllable resource physical characteristic model, simulating a resource operation state and an adjustment capability, and calculating a proportional relation between the adjustment capability and the capacity based on a simulation result; obtaining different aggregation modes and aggregation difficulties, calculating a unit capacity aggregation cost coefficient, and constructing a virtual power plant cost model; and constructing an optimal configuration model by taking meeting of adjustment requirements of each partition as a constraint and taking the minimum total aggregation cost as a target, and solving to obtain the virtual power plant aggregation resource type and capacity of each partition. Based on the method, the invention also provides a virtual power plant planning system. According to the invention, rapid and accurate optimization planning of the virtual power plant is realized.

The invention discloses a power distribution network-virtual power plant non-iterative collaborative optimization scheduling method and a related device, and relates to the field of power system optimization scheduling calculation, and the method comprises the steps: building a virtual power plant optimal economic scheduling model according to the characteristics of access resources in a virtual power plant; according to the optimal economic dispatching model of the virtual power plant, determining a variation range constraint of the power of the tie line of the virtual power plant based on a rapid approximate projection method of a feasible region of operation of the virtual power plant; constructing a non-iterative collaborative optimization scheduling model of the power distribution network and the virtual power plant based on variation range constraints according to a scheduling decision target of the power distribution network, a scheduling target of the virtual power plant and characteristics of access resources; according to the collaborative optimization scheduling model, solving a power distribution network scheduling result and a virtual power plant tie line power scheduling result; and inputting the tie line power scheduling result into the optimal economic scheduling model of the virtual power plant to obtain an optimal scheduling result of internal resources of the virtual power plant. According to the invention, the decision-making efficiency of collaborative optimization scheduling can be improved.

The invention discloses a power distribution network toughness improvement method and device considering multi-element flexibility resources, and the method comprises the steps: calculating the wind speed of each node of a power distribution network according to a typhoon wind field model, and calculating the fault probability of a power distribution line according to the wind speed of each node and a line breakage and tower fault probability model, so as to simulate the power failure process of the power distribution network under a typhoon disaster. Establishing an objective function by taking minimization of load reduction quantity and operation cost of the power distribution network as optimization objectives, establishing line reinforcement resource constraints, tie line resource constraints, energy storage resource constraints, wind power resource constraints and operation constraints of the power distribution network based on the fault probability of the power distribution line, and generating a power distribution network optimization scheduling model according to the constraints of the objective function; according to the method, the load reduction amount and the operation cost of the power distribution network are effectively reduced, the power failure scale is reduced, the power failure time is shortened, and therefore the toughness level of the power distribution network is effectively improved when extreme disasters happen.

The invention discloses a power distribution micro-grid double-layer optimization scheduling method, which is suitable for the technical field of power optimization scheduling, and comprises the following steps: S1, constructing an upper-layer power distribution network optimization scheduling model by taking the minimum network loss in an active power distribution network system as an objective function, and setting a corresponding upper-layer optimization constraint condition; s2, taking the minimum grid-connected operation cost in the micro-grid system as an objective function to construct a lower-layer micro-grid grid-connected optimization scheduling model, and setting corresponding lower-layer optimization constraint conditions; and S3, solving the grid-connected optimal scheduling model of the lower-layer micro-grid by adopting a second-order cone technology to obtain a tie line coordination parameter, determining a micro-grid access point type according to the tie line coordination parameter, and solving the optimal scheduling model of the upper-layer power distribution network by calling a Cplex solver and combining with a parameter corresponding to the micro-grid access point type to obtain a scheduling strategy. According to the invention, efficient collaborative optimization scheduling of the distribution microgrid system is realized, and the economical efficiency, robustness and flexibility of the system are improved.

The invention provides a load frequency control method for a multi-region combined power system considering wind power integration, and the method comprises the following steps: building a combined state space model of the multi-region combined power system, comprising a state space sub-model of a wind power region, a state space sub-model of a thermal power region and tie line power deviation constraint relationships among the regions; a combined control topology of the multi-area combined power system is established, the combined control topology comprises a sub-control topology of a wind power area, a sub-control topology of a thermal power area and a tie line power deviation feedback topology, and the tie line power deviation feedback topology comprises feedback devices which are the total number of the wind power area and the thermal power area; and controlling equipment in the wind power area and the thermal power area to carry out power grid load frequency adjustment by using a control instruction output by the combined control topology. According to the technical scheme, dynamic response speed characteristics of wind power and thermal power and comprehensive frequency modulation requirements are considered, and optimal load frequency adjustment is carried out on the multi-region power system.

The invention belongs to the field of electric power system scheduling, and relates to a multi-microgrid cooperative scheduling method based on a master-slave cooperative game and target cascade analysis, which utilizes the cooperative scheduling problem of electric power resources and carbon emission of a multi-microgrid system to construct a double-layer master-slave cooperative game framework. Power scheduling and operation strategies of the micro-grid alliance are planned as a whole; the micro-grids of the lower-layer micro-grid alliance realize power transaction and resource sharing through a cooperative game; based on a target cascade analysis algorithm, introducing an Anderson acceleration method to dynamically adjust tie line power, and combining an augmented Lagrangian penalty function to process constraints, optimizing an upper and lower layer decoupling iteration process and accelerating convergence; the problem of low efficiency of multi-agent collaborative optimization is effectively solved, stable system power and reasonable distribution of electric energy resources are ensured, and technical support is provided for operation of a multi-microgrid system.

The invention discloses a distribution-micro collaborative operation simulation optimization method, which belongs to the technical field of simulation optimization, and comprises the steps of preprocessing grid-connected point voltage data, tie line power data and communication time delay data, constructing a power distribution network power flow physical network following a Kirchhoff's law, outputting a source load power prediction curve by using a long short-term memory network algorithm, and calculating the distribution-micro collaborative operation according to the source load power prediction curve. And a distribution-micro collaborative simulation optimization model is obtained based on residual error rolling correction tie line impedance parameters, a delay penalty term is set in a target function in combination with the preprocessed communication delay data, a power regulation instruction is obtained by using a particle swarm optimization algorithm, and a dynamic simulation video stream is generated. According to the invention, through rolling correction of the tie line impedance parameters and setting of the delay penalty term positively correlated with the time delay, the problem of control failure caused by physical deviation caused by model parameter solidification and communication time delay accumulation is solved, and the defects of voltage deviation calculation distortion and inaccurate network loss evaluation are eliminated. And the simulation precision and the operation stability of distribution-micro cooperation are improved.

The invention provides a power distribution area interconnection planning method and related equipment, and the method comprises the steps: obtaining the historical data of distributed new energy output and load power of a target area, and calculating the maximum net load rate of each low-voltage power distribution area to determine a heavy overload area; the method comprises the following steps of: interconnecting a heavy overload transformer area and a transformer area connected with new energy with other normal transformer areas, screening out interconnectable combinations of the transformer areas, and taking all original connecting lines of a medium-voltage distribution network as SOP to-be-selected lines; based on the interconnectable combination of the transformer area and SOP candidate lines, by constructing a target function and constraint conditions with the optimal economical efficiency as a target, obtaining a mixed integer linear programming model converted from a distribution transformer area interconnection stochastic programming model under multiple scenes and solving the mixed integer linear programming model, and obtaining a transformer area interconnection programming scheme and a medium-voltage distribution network SOP access condition; power mutual aid and capacity sharing between low-voltage distribution areas are achieved, local consumption of distributed new energy is promoted, and the heavy overload phenomenon of the areas is relieved.

The invention discloses a power system load frequency control method considering disturbance compensation and a related device, and belongs to the technical field of power system regulation and control. The method comprises the following steps: respectively carrying out frequency modulation characteristic analysis on a speed regulator, a prime mover and a generator-load of the power system, and establishing a subsystem nominal model of the multi-region interconnected power system; designing a disturbance observer to observe external unknown disturbance to obtain a disturbance estimation value, and further obtaining a subsystem load frequency control model containing disturbance compensation information; based on a distributed model prediction control strategy, a distributed model prediction controller considering disturbance compensation is designed according to the subsystem load frequency control model containing the disturbance compensation information; when a certain area in the interconnected power system is disturbed, the frequency deviation of each sub-area is adjusted to be zero through a distributed model prediction controller considering disturbance compensation, and it is ensured that power exchange between connecting lines in the sub-areas and the interconnected areas of the connecting lines is kept in a zero steady state.

The invention discloses a power distribution network power supply recovery method and system considering multi-type distributed power supply cooperation, and the method comprises the steps: enabling a fault section to be successfully isolated, and carrying out the non-voltage switching-on of a network-following type DG in an intertripping power-losing region; constructing a source-load balance island based on the network construction type DG, and preferentially recovering an important load; when there is no contact, the upstream switch of the fault point carries out non-voltage reclosing to process an instantaneous fault, and island grid connection is planned; when connection exists, an optimal connection switch is optimized according to the capacity of a connection line and the capacity of a power-losing load, closing is carried out after an unrecoverable section is cut off, and staged power restoration is achieved by circularly cutting off the unrecoverable load, grid connection of the grid-following type DG and updating the recoverable capacity by considering the capacity of the adjacent grid-following type DG. And when an island adjacent section is recovered, the connected switches are subjected to synchronization grid connection. According to the invention, through a multi-type DG cooperative control strategy, the maximum capacity safety recovery of a non-fault section load is realized, the active support capability of the DG is fully exerted, and the reliability of the power distribution system is remarkably improved.

The invention relates to the technical field of electric power control, in particular to a fire storage cross-regional collaborative frequency modulation control method and system, and the method comprises the steps: generating a cross-regional power distribution instruction of a thermal power generating unit and battery energy storage through an upper-layer optimization model, and carrying out the multi-regional power instruction tracking through a lower-layer distributed control model; selecting a current frequency modulation strategy from a local frequency modulation mode and a cross-regional support mode based on the charge state of the battery energy storage in the disturbance region; in the power distribution instruction generation process, dynamic nonlinear correction is carried out on the energy storage output weight according to the charge state; and calculating local fire storage output by each region based on the current frequency modulation strategy and the power distribution instruction, generating a frequency modulation control instruction meeting the frequency safety constraint and the tie line transmission constraint, and completing cross-region collaborative frequency modulation. According to the invention, the problems of insufficient frequency modulation economy caused by lack of centralized and distributed coordination and rigid responsibility distribution caused by energy storage life static management are effectively solved, and economy-life balanced regulation and control are realized.

The invention belongs to the technical field of power systems, and more specifically relates to a main and distribution cooperative scheduling method based on deep reinforcement learning. Firstly, a power system model in the active power distribution network is established, various resources contained in the power system model are determined, a mathematical model is constructed, and a power system scheduling agent optimization model is established; then interacting with an active power distribution network environment through an intelligent agent to obtain historical interaction information, and storing the historical interaction information into an experience pool for updating a strategy network and a value network; and finally, regulating and controlling various resources in the power distribution network by utilizing the strategy network. According to the method, the autonomy of the power distribution network is fully considered, an auxiliary decision is provided for scheduling of an upper-layer main network, the peak regulation pressure brought to the main network is reduced, the power deviation of a tie line is reduced, meanwhile, end-to-end input and output control can be achieved through the deep reinforcement learning algorithm based on data driving, and the efficiency in a main and distribution cooperative scheduling task is effectively improved.

The invention provides a cascade AGC (Automatic Gain Control) frequency modulation regulation control optimization method, which comprises the following steps: acquiring frequency deviation and tie line power deviation in a power system in real time, calculating a regional control error ACE based on the two deviations, and decomposing the ACE into a frequency deviation component and a tie line power deviation component; calculating a ratio coefficient of the frequency deviation component in the ACE and a ratio coefficient of the tie line power deviation component in the ACE; acquiring a climbing rate and an adjustable capacity of each frequency modulation unit, and performing normalization processing on the climbing rate and the adjustable capacity; calculating the rate-capacity double weight of each unit through a dynamic weight formula in combination with the ratio coefficient, the normalized climbing rate and the normalized adjustable capacity, and distributing frequency modulation power to each unit according to the normalized weight; in the operation process, on-line self-adaptive adjustment is carried out on dynamic weight calculation and unit adjustment related parameters according to system performance indexes.

According to the full-direct-current collection system network construction type energy storage isolated network starting control method and system, the voltage of a grid-connected point of the full-direct-current collection system is monitored in real time, and when the voltage of the grid-connected point is smaller than or equal to a set threshold value, a tie line grid-connected point circuit breaker is switched off and enters an isolated network starting mode; judging the residual state of each piece of network construction type energy storage equipment, if the residual state of each piece of network construction type energy storage equipment is not greater than a first charge state threshold value, prohibiting isolated network starting, merging and sequencing the network construction type energy storage equipment needing to be input, detecting whether the new energy power generation equipment with the starting condition is matched with the network construction type energy storage equipment needing to be input at the same access point or not, and if yes, starting the network construction type energy storage equipment; the input of unmatched new energy power generation equipment is canceled; respectively calculating a starting sequence of the network construction type energy storage equipment and a starting sequence of the new energy power generation equipment for the network construction type energy storage equipment and the new energy power generation equipment; and different strategies are adopted to realize isolated network starting control.

The invention provides a cross-day two-stage random scheduling method for an industrial park integrated energy system, and the method comprises the steps: fitting the output fluctuation characteristics of new energy power generation equipment in a cross-day time scale based on historical data, and constructing an uncertainty scene set containing a new energy prediction error; establishing a cross-day two-stage stochastic programming model; according to the two-stage model, an optimal scheduling scheme is solved so as to minimize the overall operation cost, and the operation cost comprises the demand electric charge, the electricity purchase electric charge, the new energy power abandoning cost, the unit start-stop cost and the standby penalty cost; and on the basis of tie line power constraint and dynamic response characteristics of the multi-energy coupling equipment, feasibility verification and rolling optimization adjustment are performed on the scheduling scheme. According to the method, the new energy consumption capability of the industrial park integrated energy system under the cross-day time scale can be effectively improved, the total operation cost is reduced, and collaborative scheduling of demand cost optimization and spot market participation is realized.

The embodiment of the invention provides a hybrid energy storage thermal power generating unit frequency modulation strategy and system based on hierarchical adaptive control, and the strategy comprises the steps: detecting the reserve capacity and hybrid energy storage charge state of a thermal power generating unit in real time, and obtaining an automatic power generation control instruction, obtaining interregional tie line exchange power and system frequency deviation, and calculating a regional control deviation frequency modulation instruction; the outer layer control is based on the relation between the residual energy of the hybrid energy storage system and a hybrid energy storage distribution scaling factor K, and self-adaptive distribution is carried out on a power grid real-time area control deviation frequency modulation instruction between the thermal power generating unit and the hybrid energy storage system; the inner layer control decomposes a regional control deviation signal distributed to the hybrid energy storage system between flywheel energy storage and battery energy storage, and calculates a rated output power instruction of each energy storage; a battery energy storage unit is divided into a charging sub-unit and a discharging sub-unit, and when any sub-unit reaches a state-of-charge boundary, a charging state and a discharging state are switched; and outputting the frequency modulation power instruction to the energy storage converter.

The invention provides a receiving-end power grid minimum inertia demand evaluation method considering different fault types, and the method comprises the steps: S1, collecting the system data of a receiving-end power grid, and enabling the system data to comprise the data of a power generator and a line; constructing a first model according to the generator and the line data; the first model is a multi-machine frequency response model comprising multiple types of units of a receiving-end power grid and an alternating-current tie line; s2, discretizing the first model based on Laplace transform and a backward difference operator to obtain a second model; and S3, setting a first condition for the second model, and calculating the minimum inertia demand of the receiving-end power grid based on the first condition and the second model in combination with an improved Newton-Raphson algorithm. The method can ensure safe and stable operation of the receiving-end power grid, enhance the frequency stability of the power grid, and guarantee stable operation of the system in different scenes.

The invention relates to a transformer area micro energy network multi-time scale optimization scheduling method and device, and the method comprises the steps: considering the uncertainty of a renewable distributed power supply and a load in a transformer area, and building a micro energy network economic scheduling model based on two-stage robust optimization; the method comprises the following steps: converting a micro-energy grid economic dispatching model based on two-stage robust optimization into a main problem and a sub-problem in a mixed integer linear form, solving the main problem and the sub-problem to obtain an optimal decision variable under the worst condition, and taking the optimal decision variable as a day-ahead plan value; establishing an intra-day tie line power tracking model by taking the minimum error between the station area tie line fluctuation and the storage battery charge state estimated output value and the day-ahead planned value as a target; solving the intra-day tie line power tracking model to obtain an intra-day real-time scheduling strategy; and adjusting the intra-day real-time scheduling strategy by using a model prediction control algorithm. According to the method, the problems of uncertainty and volatility of the source load can be solved.

The invention discloses a power grid state limit operation regulation and control method and system based on a topological structure. The method comprises the following steps: constructing a power grid topological structure according to nodes and tie lines of a power grid; monitoring equipment real-time state data of the power grid in real time; estimating the real-time state data of the equipment according to a state estimation algorithm to obtain an actual operation state of the power grid; constructing a section parameter model of the standardized operation mode, wherein the section parameter model comprises a power failure equipment parameter table, a control grading parameter table and a control limit parameter table; the power failure equipment parameter table and the control grading parameter table are condition parameters, and the control limit parameter table is limit parameters; and inputting the power grid topological structure, the equipment real-time state data and the actual operation state of the power grid into the section parameter model to obtain control limit parameters of the power grid section. Dynamic calculation of section control parameters is achieved through the standardized section parameter model, it is guaranteed that limit parameters are adjusted and controlled in real time in a complex power grid environment, and reliable power supply of a power grid is guaranteed.

A load frequency controller for the integration of a thermal power generator with renewable energy generators includes first and second power systems situated in separate geographic regions, interconnected through an inter-area tie-line. Each power system incorporates a 3DOF-FOPIDN controller, programmed with a salp swarm algorithm to adjust the controller gain parameters. A model predictive controller (MPC) slaved to the 3DOF-FOPIDN controller generates droop correction values then transmitted to the energy generators. The power deviations from the resources, the tie-line power deviations and a load center power deviation are combined to generate a combined power deviation signal. A frequency generator converts the combined power deviation signal to a frequency deviation value for each area. Feedback loops channel the frequency deviation value to bias factor generator in each area. An ACE signal is generated, which is utilized by the 3DOF-FOPIDN-MPC controller to modulate frequency and maintain grid stability.

The invention discloses an energy storage cross-regional cooperation AGC optimization control method and equipment considering conditional SOC equalization, and the method comprises the steps: firstly evaluating the equivalent charge state and dynamic frequency modulation capability of an energy storage system in each region in real time, and judging whether a cross-regional cooperation condition is satisfied or not; if yes, a multi-objective optimization model is established, and the model takes a plurality of objective functions as optimization objectives, including enabling the equivalent state of charge to be balanced, minimizing inter-region tie line transmission power and maximizing the residual frequency modulation capability, and meanwhile, takes power grid operation parameters as constraint conditions. And by solving the model, obtaining an optimal output instruction of the energy storage system in each region in the next AGC control period, and issuing the optimal output instruction to the corresponding energy storage system for execution. The invention aims to support other regions through the tie line when the frequency modulation margin of the energy storage system in the interconnected region is sufficient, avoid frequency fluctuation caused by over-limit of the energy storage SOC and insufficient frequency modulation of a thermal power generating unit, improve the safety and reliability of energy storage frequency modulation, effectively stabilize the frequency fluctuation of a power grid, and enhance the anti-disturbance capability of a power system.

The invention discloses an AGC information physical system reliability verification method and system, and relates to the technical field of power dispatching automation. The problems that an existing AGC system only adopts a static operation mode and an ideal communication condition in a simulation test, and coupling response of continuous operation and sudden disturbance of a power grid under a long time scale is difficult to reproduce truly are solved. The state evolution under event driving is realized by constructing three types of simulation event sources of a time sequence operation sample, a master station control instruction and external disturbance and setting a priority mechanism of external disturbance gt, master station instruction gt and time sequence propulsion; an uplink channel fault model is introduced to simulate on-off, delay and errors of measurement data, and a downlink channel fault model is introduced to simulate transmission abnormity of a control instruction; closed-loop simulation of frequency response and electrical quantity updating is realized by combining promotion of a rotor motion equation and dynamic load flow calculation; and finally, by analyzing indexes such as frequency deviation, tie line deviation and control response delay, comprehensive reliability evaluation of the AGC system in a complex information physical environment is completed.

The invention provides a power grid dispatching control method based on renewable energy source and energy storage collaborative optimization, which comprises the following steps: S1, acquiring the power of a tie line of a regional power grid and a main power grid, determining the real-time fluctuation ratio of the power of the tie line, and determining a virtual power plant configuration according to the real-time fluctuation ratio; s2, the renewable energy units and the energy storage units used for building a virtual power plant are screened out according to the operation parameters of the renewable energy units and the energy storage units, and the virtual power plant is built according to the virtual power plant configuration; acquiring a real-time operation state of an energy storage unit in the virtual power plant; dividing the energy storage units into different control groups according to the real-time operation states of the energy storage units, and configuring charging and discharging control parameters for each control group; s3, inputting the topological structure of the virtual power plant into the digital twin system, simulating the operation of the virtual power plant in the digital twin system, and operating according to the charge and discharge control parameters configured in the step S2; and S4, constructing a virtual power plant operation comprehensive evaluation model, determining an optimal value of the evaluation model by adopting a genetic algorithm, and taking the charging and discharging control parameters corresponding to the optimal value as power grid dispatching control parameters.

The invention is suitable for the technical field of micro-grid control, and provides a grid construction type energy storage control method and device for smooth switching of micro-grid states, equipment and a medium, and the method comprises the steps: sampling the interconnection line interaction power of a micro-grid side and a power distribution network side as virtual unbalanced power; calculating a voltage phase deviation value of a grid-connected point before and after switching from a grid-connected state to an off-grid state of the micro-grid based on the virtual unbalanced power, and dynamically calculating an energy storage active power pre-compensation value in combination with a damping integral response module and a second-order negative feedback loop; and iteratively correcting the phase angle through a power angle balance mechanism until the state switching constraint condition of the micro-grid is met. According to the technical scheme provided by the invention, active power output is actively adjusted through network construction type energy storage, voltage phase deviation caused by unbalanced power of a tie line is compensated, the voltage phase difference between the two sides of the micro-grid and the power distribution network is remarkably reduced, voltage phase synchronization during grid-connected to off-grid switching of the micro-grid is realized, and the grid-connected to off-grid switching of the micro-grid is realized. And the reliability and the stability of state switching of the micro-grid are improved.

A computing system for functional integration with a distributed power grid having one or more inverters. The computing system includes processing device(s) to control operation of an inverter by executing a feedback controller with a grid-tied line, of the distributed power grid, treated as a plant and including a unified algebraic control system operating based on a pair of closed-loop variables carried in closed-loop signals of the unified algebraic control system. The processing device(s) control, using the feedback controller, transitions of the inverter between a plurality of operating modes by adjusting a magnitude of the closed-loop signals, which correspond to the pair of closed-loop variables, towards a setpoint of a plurality of setpoints. Each setpoint corresponds to a different operating mode of the plurality of operating modes.

The invention relates to a traveling wave device stationing and fault positioning method suitable for a load transfer operation mode, and belongs to the technical field of power system fault distance measurement. The method comprises the following steps: obtaining a branch forest in a normal operation mode based on a line topological structure; obtaining a branch forest in a load transfer operation mode according to the load transfer operation of the two connection lines; if the topological tree structures and leaf nodes of the two branch forests under the same root node change, preferentially arranging traveling wave devices at the leaf nodes appearing in the two different topological trees under the same root node, otherwise, calculating the weight coefficient of each branch in the topological tree structures, and arranging traveling wave devices at the branch nodes with high weight coefficients; when a single-phase earth fault occurs on the line, the distance between each traveling wave device and the fault point is calculated, fault section tracing is carried out, and the position of the earth fault point is determined. The objective of the invention is to solve the technical problem that the prior art cannot adapt to a new topological structure after load transfer.

The invention discloses a reinforcement learning-based virtual power plant multi-energy cooperative scheduling method and system, and the method comprises the steps: obtaining a real-time operation state index of a virtual power plant, and building a state space; establishing a basic action space based on the energy storage adjustment action, and establishing an electric vehicle action space based on the charging power adjustment action; establishing a reward function based on the response standard reaching reward, the power grid reverse discharge income excitation, the tie line power deviation penalty, the photovoltaic prediction deviation penalty, the electric vehicle charging demand unsatisfied penalty and the energy storage cycle life penalty; establishing a prediction model based on a deep Q network; establishing a strategy model based on an experience playback mechanism; the minimum change rate of a reward function in a virtual power plant response frequency modulation scene and the maximum reward function in a virtual power plant response energy market scene are taken as optimization objectives, a basic action space and an electric vehicle action space are determined to obtain an energy storage power instruction and an EV charging power instruction, and intelligent and real-time generation of a virtual power plant adjustment strategy is realized.

The invention discloses a multi-micro-grid power distribution system two-stage robust collaborative optimization method and device, and belongs to the technical field of multi-micro-grid power distribution system optimization scheduling, and the method comprises the steps: inputting the obtained basic operation data and uncertainty characterization parameters of a multi-micro-grid power distribution system into a pre-constructed multi-micro-grid economic scheduling model, solving the model by adopting a column and constraint generation algorithm to obtain a day-ahead scheduling plan of the multi-microgrid power distribution system in the worst scene considering the space-time correlation; inputting the day-ahead scheduling plan, the obtained basic operation data of the multi-microgrid power distribution system and the tie line power coupling constraint between the power distribution network and the multiple microgrids into a pre-constructed double-layer collaborative optimization model, and solving the model in a distributed manner by adopting an alternating direction multiplier method, an intra-day optimization scheduling scheme meeting the requirement of good cooperative operation of the power distribution network and the multi-micro network friends is obtained; according to the method, the optimization result in the worst scene meets the robustness requirement, and meanwhile, the economical efficiency of the system is guaranteed.

The invention discloses an emergency control method and an emergency control system considering network construction type energy storage power fast regulation, and belongs to the technical field of power systems and automation thereof. Operation information of a tie line is collected in real time, energy storage adjustable capacity is evaluated, when it is detected that the tie line is broken due to a fault, power vacancy is calculated based on an equal-capacity cutting-off principle, and the energy storage power fast regulation is completed. For a power receiving system, network construction type energy storage is preferentially called to carry out power fast adjustment, and load removal is carried out cooperatively when the energy storage capability is insufficient; and for a power delivery system, the new energy unit with the corresponding capacity is directly cut off. Through issuing a power adjusting instruction and an emergency control instruction, energy storage is driven to execute large-step fast adjustment and self-response fine adjustment, and finally fast and stable operation of the isolated network is realized. According to the method, the problem of frequency stability when the high-proportion new energy is connected to the isolated grid for operation is effectively solved, and the toughness and the safe operation level of the high-proportion new energy connected to the grid are remarkably improved.