31 results about "Active power flow" patented technology

The invention discloses a new energy electric power robustness control method, system and device for preventing chain overload of a power transmission section and a medium. The method comprises the following steps: obtaining the active power flow size and the operation state of each branch in the power transmission section; calculating the comprehensive sensitivity of all the controllable nodes to each branch in the power transmission section, and generating a composite priority index based on the calculated comprehensive sensitivity, the classification of the nodes and the new energy fluctuation risk; performing priority ranking on the generator nodes to generate a node sequence; in combination with a reverse equivalent pairing principle, selecting an adjustment node pair, and calculating an adjustment amount of node output by considering an adjustment amount dynamic margin constraint of new energy output uncertainty; recalculating the active power flow and the operation state of each branch in the section; and judging whether the section power flow and the margin meet a termination condition or not to realize optimal control. According to the method, the operation robustness of the new energy power system is improved, and the overload of the transmission section can be quickly and efficiently eliminated.

The invention relates to the technical field of power dispatching, in particular to an energy storage combined frequency modulation control method and system in a source-network-load-storage integrated regional power grid, and the method comprises the steps: dynamically calculating the adjustable capacity of each resource, dynamically aggregating the total adjustable capacity of the system, sensing the multi-dimensional frequency situation and calculating the adjusting power, and selecting a frequency modulation mode and generating a power distribution strategy. And generating a splitting and isolated network frequency modulation stability control strategy and performing system grid-connected resynchronous operation. The method is suitable for guiding power supply, energy storage and load all-resource collaborative frequency modulation strategy generation in a regional power grid. For consistency of frequency deviation, frequency change rate and active power flow direction, multi-dimensional frequency situation awareness is constructed, power distribution strategies in different modes are generated based on a total adjustable capacity interval of a system, and a frequency stability control and grid-connected resynchronization strategy after splitting is given when the frequency and the adjustable interval exceed limits. Accurate matching of all-resource collaborative frequency modulation and strategies in a regional power grid is realized, and the frequency modulation response speed of the system is improved.

The invention discloses a power grid switching operation anti-misoperation verification method and device based on real-time topology, and relates to the technical field of power grid anti-misoperation, and the method comprises the following steps: collecting the phasor data of target equipment and the real-time active power flow direction of a power grid, constructing a real-time directed topological graph, and extracting a to-be-reconstructed sub-graph associated with an operation instruction of the target equipment; converting the target equipment operation instruction into an impedance correction term, constructing an estimated impedance matrix based on the to-be-reconstructed sub-graph, and calculating a corresponding power flow transfer vector; performing double-layer constraint decoupling on the topological structure of the to-be-reconstructed sub-graph to generate a source flow path chain set; and generating a verification result based on the power flow transfer vector, the source flow path chain set and a preset anti-error rule. The method is used for solving the problems of electrical rehearsal real-time lagging and complex topology anti-error logic confusion in a complex power grid environment.

The invention provides a carbon footprint tracking method and system based on electric vehicle path planning, and belongs to the technical field of path planning and carbon footprint tracking, and the method comprises the steps: obtaining the road network planning reference data of a target region, and inputting the data into a preset road network planning model, so as to enable the road network planning model to generate a corresponding road network planning result; according to the road network planning result and the real-time operation data of the power system of the target area, performing power flow planning on the power system through a preset power flow planning model, and determining the active power flow distribution of the power system and the actual active power of each generator; and according to the carbon emission intensity of each generator, the actual active power of each generator and the active power flow distribution of the power system, calculating the node carbon potential of each power grid node. The problem that in the prior art, carbon emission accounting is disjointed with the dynamic behavior of an electric vehicle user can be solved.

The invention discloses a series-parallel hybrid five-port energy router capable of realizing transformer area interconnection and a control method of the series-parallel hybrid five-port energy router. The five-port energy router comprises four low-voltage alternating current ports AC1, AC2, AC3 and AC4, a direct current port DC, two parallel converters PCM1 and PCM3, and two series converters SCM2 and SCM4. AC ports of the PCM1 and the PM3 are respectively connected with the AC1 and the AC3, and AC ports of the SCM2 and the SCM4 are respectively connected with the AC2 and the AC4 through series transformers; dC ports of the PCM1, the SCM2, the PCM3 and the SCM4 are connected together to form a common DC bus; dC is led out from the common DC bus. The five-port energy router supports parallel connection-series connection and parallel connection-parallel connection power flow mutual aid modes, DC bus voltage is stabilized through the PCM, reactive power and active power are controlled through the PCM, voltage amplitude and phase control active power flow are adjusted through the SCM, and the required configuration capacity is small. According to the invention, the flexible interconnection of the low-voltage transformer area can be realized, the dynamic capacity increase of the transformer area and the fault rapid transfer are realized, and the power supply reliability and the distributed power supply acceptance capability are improved.

The invention discloses a carbon reduction strategy optimization method, system and device and a storage medium, and the method comprises the steps: obtaining active power flow data and the carbon emission intensity of a power supply point, and calculating an electric carbon factor of each load enterprise node according to the active power flow data and the carbon emission intensity of the power supply point; identifying the carbon emission characteristics of each load enterprise node according to the electrical carbon factors, and generating an enterprise portrait corresponding to the carbon emission characteristics; and based on the enterprise portrait and the production process and energy consumption elasticity of each load enterprise, generating a differentiated carbon reduction strategy, realizing optimization of the carbon reduction strategy, and providing the differentiated carbon reduction strategy for power consumption subjects with different positions and different characteristics in the park.

The application discloses a single-core independent phase-shifting transformer and a control method thereof. The single-core independent phase-shifting transformer comprises an excitation winding, a source-side voltage regulation winding, a load-side voltage regulation winding and an on-load voltage regulation switch. The excitation winding is a primary side of the single-core independent phase-shifting transformer and is connected in a triangle mode. The source-side voltage regulation winding and the load-side voltage regulation winding are secondary sides of the single-core independent phase-shifting transformer and are directly connected in series in a circuit. The source-side voltage regulation winding and the load-side voltage regulation winding are both provided with the on-load voltage regulation switch. The source-side voltage regulation winding and the load-side voltage regulation winding are divided into several sections according to phase-shifting angles, that is, the phase-shifting angle of each section is changed by the same value, and the voltage of each section is changed by different values. The application can independently adjust the phase and effective value of the circuit voltage, independently adjust the active power flow and the reactive power flow of the circuit, and further optimizes the adjustment performance of the phase-shifting transformer.

The invention discloses a power system carbon emission flow calculation method and system, electronic equipment and a medium, and relates to the technical field of power system carbon emission flow calculation. The method comprises the following steps: calculating an extended incidence matrix according to active power transmitted by each branch, power injected to a corresponding node by an upstream node of each node and power injected to a generator set at each node; determining a unit power injection distribution matrix of the power generation side of the power system, the carbon emission intensity of each generator set and a unit injection carbon flow rate matrix according to the generator set injection power at each node; determining a system load distribution matrix according to the active power of the load at each node; and calculating the carbon emission flow of the power system according to the matrix, the active power flowing through the nodes, the carbon emission intensity and the active power flowing through each branch. According to the invention, the accuracy of the calculation result of the carbon emission flow of the power system can be improved.

The invention provides a carbon management evaluation method and system based on edge calculation. The method comprises the following steps: combining the carbon injection rate of each power distribution side edge node with the active power flow distribution of each line of the power distribution network, and generating a carbon flow vector of each line; generating a carbon emission feature vector based on the carbon flow vector, the power grid topological data and the equipment current waveform parameter of the user side edge node; generating a carbon emission characteristic divergence rate based on the phase space parameter of the power grid frequency change rate of the power distribution side edge node; when the carbon emission characteristic divergence rate exceeds a stability threshold value, generating carbon flow optimization regulation and control data based on the dynamic control signal through an edge control node; and based on the carbon flow net injection rate and the fusion state vector of each power distribution network node, positioning an abnormal user side edge node and generating an exception handling instruction, and the method can solve the problems that carbon emission accounting is distorted, low-carbon and safety cooperation is difficult to realize, and exception judgment has deviation.

This invention provides a method for managing voltage exceedance in distributed photovoltaic (PV) systems by optimizing the active and reactive power ratio. When the grid connection point voltage exceeds the limit, this application abandons the maximum power point tracking (MPPT) mode and performs the following steps: calculating the reactive and active power ratios that the PV system should inject into the grid connection point after the voltage exceedance, ensuring that the active power injected into the distribution network bus is maximized when the grid connection point voltage does not exceed the limit; calculating active and reactive power commands using the calculated reactive and reactive power ratios; obtaining current reference values ​​on the dq axis in a dq coordinate system with equal amplitude coordinate transformation based on the active and reactive power commands; and adjusting the active and reactive power injected into the grid connection point based on the current reference values ​​on the dq coordinate axis to regulate the grid connection point voltage. This invention ensures maximum active power flowing to the grid connection point while maintaining the grid connection point voltage within the specified limits.

The application relates to a method and device for scanning a predicted fault applied to an element of a power system, a computer device, a storage medium and a computer program product, and relates to the technical field of power grid safety monitoring. The application can shorten the time of detailed power flow calculation and improve the efficiency of the predicted fault scanning. The method comprises the following steps: obtaining a node admittance matrix and an active power flow total increment of an element to be detected under a predicted fault condition; obtaining a voltage phase angle increment corresponding to each bus in the element to be detected according to the node admittance matrix and the active power flow total increment; obtaining an active power flow increment of a current branch according to a first voltage phase angle increment, a second voltage phase angle increment and a current reactance value of the current branch for each branch in the element to be detected; determining a weight coefficient and a power flow limit value of the current branch; and inputting the active power flow, the weight coefficient and the power flow limit value into a preset severity index operation model to obtain a predicted fault severity index when the current branch is disconnected.

The application discloses a method and system for improving structural controllability of a power system, and belongs to the field of structural controllability optimization of a power system, which comprises the following steps: taking a generator, a transformer substation and a power consumption unit as a node, taking a power transmission line as an edge, the direction of the edge being consistent with the active power flow direction of the power transmission line, establishing an original network model of the power system, deleting the incoming edges of the generator nodes in the original network model to obtain a power network, solving the maximum matching of the power network, merging the edges with the same nodes in the maximum matching to obtain a matching path set and a matching circle set, marking the paths with the generator nodes as starting points in the matching path set as control paths, marking the remaining paths as uncontrollable paths, adding a directed edge between the terminal point of the control path and the starting point of the uncontrollable path, and adding a power transmission line between the nodes corresponding to the added edges. The application makes the power system structurally controllable only when the generator nodes are used as driving nodes, and effectively improves the structural controllability of the power system.

The application discloses a kind of carbon flow monitoring and accounting method based on Internet of Things, specifically comprising the following steps: S1.collection power system tidal information;S2.carries out flow calculation to power network, obtains the active power flow matrix F of entire power network;S3.carbon flow density is calculated to the grid in stages, gradually obtains the carbon flow data of entire power network;S4.through the carbon flow data obtained carbon flow matrix C, and provide final visual result;S5.collection carbon emission data;S6.create carbon flow neural network model;S7.train carbon flow neural network model;S8.utilize carbon flow neural network model to the carbon emission of entire system is accounted for.This application mainly utilizes Internet of Things data acquisition technology and data analysis visualization technology, for power system manager directly shows carbon flow in entire power network The flow path of, help to realize the low carbonization and green of entire system.

This application relates to a location method, program product, and related equipment for a grid-type static var generator (SVR). The method includes: acquiring multiple sets of candidate schemes, each set including several location nodes; calculating the total power supply capacity connected to each location node, obtaining the annual maximum active power flow and values ​​of multiple preset indicators for each location node; determining the weight coefficients of each preset indicator in the corresponding location node based on the annual maximum active power flow and total power supply capacity; calculating the location base number of the corresponding location node based on the preset indicator values ​​and weight coefficients; selecting several location nodes sequentially in descending order of the location base number as candidate nodes; calculating the average location base number of the corresponding candidate schemes; and selecting the candidate node in the candidate scheme with the highest average location base number as the final location target. This invention, by connecting the grid-type SVR to the location target, can improve grid stability to meet grid operation requirements.

An electrified railway flexible hub traction substation framework is characterized in that an alpha power supply arm and a beta power supply arm are connected to a three-phase power grid through a traction transformer, and two alternating current ends of a back-to-back converter are respectively connected to the alpha power supply arm and the beta power supply arm; the power distribution system bus is connected to a railway power distribution network through a first grid-connected transformer, and the power distribution system load is connected to the power distribution system bus through a power distribution transformer; the system further comprises an energy feedback system. The energy feedback system comprises a bidirectional DC / AC converter and a second grid-connected transformer. The direct current end of the bidirectional DC / AC converter is connected to the direct current end of the back-to-back converter, and the alternating current end of the bidirectional DC / AC converter is connected to the power distribution system bus through the second grid-connected transformer. The beneficial effects of the utility model lie in that the traction power supply system and the railway power distribution network are connected through the energy feedback system, mutual transfer of active power flow of the traction power supply system and the railway power distribution network can be realized, and the operation energy efficiency of railway power supply is improved.

The application discloses an active power flow adjusting method, device and equipment for an AC-DC distribution network, which is characterized in that: the actual active power vector of a converter station is calculated by using the rated voltage of a DC system and the parameters of the converter station, the connection node of the DC system converter station is equivalent to an AC load node, and the actual active power vector of an AC system node is solved, so that the steps of the whole adjusting process are simple, the data does not need to be iteratively processed, the solving speed is fast, and the adjusting efficiency of the active power flow of the AC-DC distribution network is improved.

The application discloses an environmental protection gas ring main unit fault isolation and recovery control method for a power distribution system and relates to the technical field of power distribution automation.The fault isolation method comprises the following steps of S01: collecting three-phase voltage and current instantaneous values of a current feeder interval access point by an intelligent terminal of the feeder interval, determining a disturbance direction by calculating a power disturbance direction parameter, and determining that the disturbance active power flows from a bus to a line if the disturbance active power flows from the bus to the line.Through synchronous collection of three-phase voltage and current instantaneous values, extraction of positive sequence components, calculation of a power disturbance direction parameter based on power changes before and after the disturbance, and determination of whether disturbance energy flows from a bus to a line or from a line to a bus, the method eliminates, in principle, the problem of healthy branch mis-isolation caused by overcurrent discrimination failure due to distributed power reverse current, realizes accurate identification and selective removal of a fault section of a power distribution network containing a distributed power, and significantly improves the accuracy of fault isolation and power supply reliability.

The application discloses a power grid switching operation anti-misoperation checking method and device based on real-time topology, relates to the technical field of power grid anti-misoperation, and comprises the following steps: collecting phasor data of a target device and real-time active power flow direction of a power grid, constructing a real-time directed topology graph, and extracting a to-be-reconstructed subgraph associated with a target device operation instruction; converting the target device operation instruction into an impedance correction term, constructing an estimated impedance matrix based on the to-be-reconstructed subgraph, and calculating a corresponding power flow transfer vector; performing double-layer constraint decoupling on the topology structure of the to-be-reconstructed subgraph to generate a source-flow path chain set; and generating a checking result based on the power flow transfer vector, the source-flow path chain set and a preset anti-misoperation rule. The application is used to solve the problems of real-time lag of electrical pre-rehearsal and confusion of anti-misoperation logic in a complex power grid environment.

The application discloses an active power distribution network power flow optimization method based on a large language model and belongs to the field of power system optimization. The method first realizes optimal power flow problem modeling according to the topology and equipment parameter data of the active power distribution network to be subjected to power flow optimization; then designs a structured prompt word through the optimal power flow problem, drives a large language model to generate an initial population of diversified heuristic algorithms in zero samples; further, a thinking chain evolution strategy is adopted to take the calculation error as a judgment standard, guide another large language model to simulate selection, crossover and mutation operations to realize iterative optimization of the heuristic algorithm, and based on the heuristic algorithm with the minimum calculation error, the required output of each distributed energy source of the active power distribution network is obtained, and the power flow optimization of the active power distribution network is completed. The application solves the core problem of low design efficiency and high dependence on expert experience of the heuristic algorithm in the complex optimal power flow problem of the active power distribution network, and can realize high-quality algorithm automatic generation for a self-defined problem scene.

The invention relates to a power transaction outsourcing electric quantity prediction method and device, and belongs to the technical field of power prediction, and the method comprises the following steps: obtaining node net injection power, outsourcing electric quantity and line resistance and reactance parameters, and constructing a net injection power vector and a node feature matrix; forming a node admittance matrix based on reactance, and calculating active power flow in combination with a power vector; a network loss quadratic matrix is constructed based on resistance and reactance, a causal influence coefficient vector is solved, and then a causal attention matrix is generated in combination with active power flow. And inputting the matrix and a node feature matrix into a graph convolutional network to obtain node causal embedding and converge into a graph-level embedding vector. And inputting the graph-level embedded vector and historical data of the purchased electric quantity into a long-short-term memory network, and outputting a predicted value of the purchased electric quantity at the next moment. According to the method, the causal attention mechanism is introduced, the causal influence between the nodes is quantified, the model focuses on a key information source, and the prediction accuracy is remarkably improved.

The invention discloses a frequency dynamic trajectory prediction method and device, electronic equipment and a storage medium, which are used for solving the technical problems that the real-time performance of the current related technology is difficult to meet the requirement of online prediction and is not suitable for a low-damping power grid. The method comprises the following steps: considering active power flow distribution and synchronous machine rotor motion in a power system, and constructing a state space model of primary frequency modulation of the power system; based on the state space model, establishing a disturbance information extraction model at the moment of disturbance occurrence; according to the disturbance information extraction model, solving a disturbance vector of the power system after disturbance; and performing trajectory prediction by combining the state space model and the disturbance vector to obtain a frequency dynamic trajectory of the power system. The method is not only suitable for online prediction, but also can solve the defect that the traditional technology is not suitable for a low-damping power grid, provides reference for operation of a new energy power system, and guarantees safe and stable operation of the system.

The invention discloses an AVC locking method and device based on bus reverse power supply scene automatic identification, terminal equipment and a storage medium, and belongs to the field of power systems. The method comprises the following steps: acquiring a switching state and a first bus voltage value of a to-be-identified bus, and line active power flow directions, line current signals and line active power data of all lines on the to-be-identified bus; and according to the acquired data, when it is judged that the to-be-identified bus is in a power-losing state, the first bus voltage value is in a normal range and active power flow from the non-small power supply line flows to the to-be-identified bus, determining that the non-small power supply line in which the active power flow flows to the to-be-identified bus is a reverse supply line. And taking the buses at the two ends of the reverse supply line as target buses, and locking reactive power equipment around the target buses. According to the invention, the technical blank of bus reverse supply scene identification in the prior art is filled. By implementing the method and the device, the problem that the prior art depends on manual identification can be solved, and some accuracy and efficiency defects of manual judgment are overcome.

The invention provides a high-permeability photovoltaic power distribution network energy storage site selection and constant volume method. The method comprises the following steps: establishing a three-phase time sequence load flow calculation model according to a network topology model; establishing a photovoltaic output interval model, and calculating a photovoltaic output uncertainty node voltage interval in combination with the photovoltaic output interval model and the three-phase time sequence load flow calculation model; calculating the photovoltaic reverse power flow sensitivity based on the photovoltaic node power disturbance quantity and the branch active power flow increment; generating a plurality of photovoltaic output scenes based on the photovoltaic output interval model, and calculating the voltage out-of-limit probability of the photovoltaic access node for each photovoltaic output scene and moment; establishing an energy storage site selection evaluation model, and determining an optimal energy storage arrangement node according to the energy storage site selection evaluation model; establishing a photovoltaic overflow power model based on the optimal energy storage arrangement node, and calculating an energy storage capacity interval according to the photovoltaic overflow power model; and outputting an energy storage configuration scheme.

The embodiment of the invention provides a node carbon potential calculation method, device and equipment under electric power spot market transaction. The method comprises the following steps: acquiring carbon emission caused by electric energy in spot market transaction, and calculating a branch power flow distribution matrix according to active power flow; analyzing the real-time flow direction process of the carbon power flow in the market transaction according to the matrixes, establishing a unit injection distribution matrix and a load distribution matrix, and calculating a node active flux matrix according to the two matrixes; establishing a unit carbon emission intensity matrix according to the carbon emission characteristics of the generator unit; calculating an absolute value of a node active flux matrix, and then calculating a node carbon potential matrix; calculating a distribution matrix and a load carbon flow rate matrix according to the carbon flow rate of each branch in the power system; and obtaining the carbon potential of any node in the power system based on the calculation of the alternating current power flow, and finally obtaining the carbon potential of all nodes of the power system. In this way, an accurate and reliable node carbon potential calculation result can be provided, and wide participation and popularization of spot transaction are achieved.

The application aims at the active power sudden drop of GSC output of permanent magnet direct drive unit when grid-connected point voltage is reduced, if RSC output is unchanged, unbalanced power will be accumulated on the DC side, causing abnormal lifting of bus voltage, endangering safety of devices and even triggering off-grid problem, and proposes an improved control of low penetration of direct drive wind turbine based on virtual synchronization technology. During low voltage fault, through variable power tracking methods such as overspeed power limiting and emergency variable pitch, active power flow is quickly and accurately balanced; through improved VSG technology, a power compensation term is designed to reduce bus voltage fluctuation; through the coordinated cooperation of these strategies, long-term and large-scale sustainable fault voltage penetration is finally realized.

The application discloses a device and method for judging relative positions of power users in a power distribution area, which is applied to a power distribution area including at least two user power meters, wherein the device includes a high-frequency signal module and a direction judging module; the high-frequency signal module is installed in the user power meter, and a direction judging module is arranged at the upper end and the lower end of each user power meter and a T-connection branch respectively; the high-frequency signal module transmits or receives high-frequency signals to generate high-frequency resonance; the direction judging module monitors the power frequency active power flow direction and the high-frequency active power flow direction at the installation position, and judges the relative position relationship between any two user power meters in the power distribution area according to the relationship between the power frequency active power flow direction and the high-frequency active power flow direction. The application judges the relative position relationship between any two user power meters by comparing the direction relationship between the power frequency active power flow and the high-frequency active power flow, so that the relative positions of all user power meters in the power distribution area are obtained, and the effectiveness and accuracy are ensured.

The invention relates to the field of feeder quality control, in particular to a multi-feeder electric energy quality flexible control system and a multi-feeder electric energy quality flexible control method. The main feeder line section 1 is connected in series with the input side of the voltage transformation module 3 by accessing the isolation protection module 2; the low-voltage output side of the voltage transformation module 3 is connected in parallel with the alternating-current side of the current transformation module 4; the current transformation module 4 comprises a voltage regulation sub-module 41 and a power control sub-module 42 which are respectively used for providing a direct-current voltage reference and regulating an active power transmission quantity so as to realize the transfer of active power flow between the main feeder line sections 1. According to the invention, reactive power treatment, harmonic treatment and power flow treatment can be realized at the same time, an NPC three-level converter and common direct current bus architecture is adopted in hardware, and efficient parallel connection and energy interconnection of two sets of converters are realized. A multi-target collaborative algorithm is integrated, double-closed-loop decoupling control, neutral-point balance modulation and multi-mode seamless switching are realized under a dq coordinate system, and a flexible control system of master-slave control, optical fiber communication and modular power units is constructed.

The invention provides a large-scale wind and light storage base group electric power real-time control method under severe weather, and relates to the technical field of electric power system dispatching operation control, and the method comprises the steps: obtaining the electric power information and severe weather evolution path information of a large-scale wind and light storage base group under severe weather, carrying out the safety monitoring of controllable resources and a power grid operation mode, and carrying out the real-time control of the electric power of the large-scale wind and light storage base group; obtaining the sensitivity of active power flow of a power transmission channel in the large-scale wind and light storage base and a branch on-off distribution factor, establishing a severe weather influence risk index, constructing a large-scale wind and light storage base group output optimization model, and obtaining the maximum value of the output sum of the large-scale wind and light storage base group and key limited factors thereof according to the model. Therefore, whether a tie line sending-out requirement is met is judged, and large-scale wind and light storage base group electric power real-time control is realized. The overall risk of insufficient output after the new energy power station receives the severe weather is quantified, and a quantitative basis is provided for a large-scale wind and light storage base group to participate in real-time power regulation and control under the severe weather.

The application discloses a two-stage reactive power flow generation method considering switching times of reactive power compensation devices. The method adopts a two-stage solving strategy to solve a reactive power flow generation problem considering switching time limits of shunt reactive power compensation devices, in the first stage, an optimization model containing constraints such as switching time limits of discrete reactive power compensation devices is constructed with minimization of branch active power flow deviation and branch voltage square difference as an objective function, and linearization processing is performed, and through adjustment of switching states of the reactive power compensation devices, fast convergence of alternating current power flow is realized; in the second stage, the switching states obtained in the first stage are fixed, minimization of active power adjustment amount of a generator set is taken as an objective function, and active power output, reactive power output and terminal voltage of the generator set are further adjusted, so that the system meets alternating current feasibility requirements. The application can significantly reduce the solving complexity of the reactive power flow generation problem, accelerate the solving efficiency, and meet the fast generation and feasibility requirements of the reactive power flow of a power system.

The invention provides a new energy station network equivalence method based on a graph traversal search algorithm, and the method comprises the steps: obtaining the information of a boosting transformer, new energy unit connection, a box-type transformer and the like of a new energy station, and completing the recognition of the connection relation of a new energy unit of each current collection line based on the graph traversal search algorithm; calculating the equivalent resistance, reactance and susceptance of the new energy station network based on a loss consistency principle, and then calculating the equivalent resistance, reactance and reactance of a lower current collection circuit and a box-type transformer of each boosting transformer of the new energy station; according to the method, the speed and accuracy of new energy station network equivalence are improved by utilizing a graph traversal search algorithm, the speed is shortened to 0.5 hour from 2 days of manual identification, meanwhile, the error problem of manual calculation is avoided, the method can be applied to equivalence of a large-scale new energy station network, the analysis accuracy of a power grid new energy station is improved, and the method is suitable for large-scale new energy station network equivalence. And the analysis result is closer to the actual operation of the power grid.