270 results about "Tie line" patented technology

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 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 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 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 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.

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.

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.

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.

The invention discloses a photovoltaic station island stability control and re-grid-connection method based on energy storage cooperative regulation and control, and the method comprises the steps: carrying out the island detection in real time in a normal grid-connection state, and switching a photovoltaic system from a first working mode to a second working mode if tie line protection trips, so as to reduce the output power of the photovoltaic system; detecting the state of a grid-connected point circuit breaker, if the connection line circuit breaker is changed from closing to opening, executing connection line current detection, and when the connection line current is judged to be smaller than a current threshold value, switching the energy storage system from the first working mode to a second working mode to provide voltage and frequency support for the photovoltaic system; grid-connected detection: judging whether the island voltage, frequency and phase meet grid-connected conditions or not, if not, continuing grid-connected detection, and if yes, reclosing grid connection; and then, firstly switching the energy storage system from the second working mode to the first working mode, then switching the photovoltaic system from the second working mode to the first working mode, and recovering normal operation of the station.

The invention relates to the field of power distribution network voltage control, in particular to a power distribution network multi-agent reinforcement learning voltage control method and system and a medium, and the method comprises the steps: obtaining the current data of a power distribution network; the current data of the power distribution network comprises a topological form, line parameters and source load output of the power distribution network; inputting the current data of the power distribution network into a pre-trained multi-agent system; the pre-trained multi-agent system monitors whether power deviation occurs in tie lines between different sub-networks in the power distribution network based on the input current data of the power distribution network; in response to the fact that the multi-agent system monitors that the tie lines between the different subnets have power deviation, the multi-agent system introduces tie line power fluctuation negative awards to the tie lines with the power deviation, and the multi-agent system outputs a voltage control strategy for the power distribution network based on the introduced tie line power fluctuation negative award.

A load frequency control system for a multi-area hybrid power grid having multiple regions which integrates renewable energy sources. The system includes individual power systems in separate geographic regions, interconnected by electrical tie-lines. Area control signals (ACE) generated by each power system facilitate adaptive frequency stabilization. A central model predictive controller (MPC) processes ACE signals to produce control signals, guiding a one plus proportional integral derivative (1+PIDN) controller with adjustable gain parameters. An optimizer applies a salp swarm algorithm to the ACE signals to dynamically adjust gain parameter of the 1+PIDN controller. The resulting output signal from the 1+PIDN controller is designed to mitigate power disturbances and maintain frequency balance across the tie-lines, ensuring robust and responsive grid management.

The invention relates to the technical field of electricity price prediction, and discloses an electricity price prediction method based on a random forest algorithm. Comprising the steps of generating a first feature data set based on collected whole network load prediction data, new energy load prediction data, tie line plan data, necessary stop unit data, necessary start unit data, holiday sign data, total maintenance capacity data and historical day-ahead electricity price data; constructing a power price preliminary prediction model group based on the first feature data set; correcting the electric power price preliminary prediction model group in combination with thermal power bidding space data to generate an electric power price final prediction model; and generating an electricity price prediction curve of the to-be-predicted day in combination with the obtained feature data of the to-be-predicted day and the final electricity price prediction model. According to the method, prediction is carried out by constructing a plurality of decision trees and synthesizing the results of the decision trees, so that the model can better adapt to different data distributions, and the prediction accuracy is improved.

The invention discloses a multi-zone interconnected electric heating combined system low-carbon economic dispatching method and system considering carbon emission flow and demand response, and the method comprises the steps: analyzing the power flow of a tie line, decomposing a multi-zone interconnected electric heating combined system into a plurality of independent regional subsystems, and analyzing the coordinated coupling relation of each regional subsystem; according to the regional decomposition result, based on a target cascade analysis method, a multi-region interconnected electric heating combined system low-carbon economic dispatching model considering carbon emission flow and demand response is established, and the model comprises an upper-level main problem and lower-level sub-problems corresponding to all regional subsystems; linearizing the model and then solving the model; and calculating a carbon emission allocation result of each regional subsystem according to an optimization result. According to the method, the thermodynamic system heat supply network pipeline and the carbon emission flow of the thermodynamic system heat supply network pipeline are subjected to refined modeling, on the basis, electricity and heat load sides are guided to participate in demand response according to the carbon emission allocation condition while multi-region independent optimization is conducted, data secrecy of subsystems in all regions is facilitated, and low-carbon economic dispatching of the multi-region interconnection electric heating combined system is achieved.

The invention relates to a stable control method and a stable control system for accessing a network construction type heterogeneous power supply to a direct current system, belongs to the technical field of power system control, and solves the problem of serious active power vacancy when an alternating current tie line of an existing multi-source access direct current sending end system fails. The method comprises the steps that energy flow paths among subsystems in the system are analyzed to identify key control links causing instability of the system and orthogonal interaction energy of the key control links, and the orthogonal interaction energy is an interaction energy item which has the largest influence on the stability of the system in interaction energy among modules of the subsystems; based on a minimization principle of total stored energy of the system, coordinating and adjusting a doubly-fed fan active instruction, a direct current system current instruction and an energy storage active instruction in real time; keeping a negative value according to the total interaction energy of the system to compensate the orthogonal interaction energy among the subsystems; and according to the state feedback signal, the active power instruction of each subsystem is dynamically adjusted in combination with the control switching logic. The adaptive capacity and the dynamic recovery performance are improved, and accurate matching and quick response to various fault working conditions are achieved.

The invention discloses a method for introducing a power bus short-circuit fault equivalent model for a manufacturing enterprise and belongs to the field of power supply and distribution systems. Comprises: setting an enterprise typical introduction power supply system; screening system short-circuit current equivalent branches; the enterprise introduces power supply short-circuit impedance equivalent processing; equivalently processing a tie line between the first and second lead-in power buses of the enterprise; modeling by using professional short-circuit current calculation software; the method comprises the following steps: opening a connecting line between two sections of lead-in power supply buses, modeling by taking a first lead-in power supply bus and a second lead-in power supply bus of an enterprise as two independent power supply systems, constructing an equivalent model of a short-circuit fault of the lead-in power supply buses of the enterprise through an impedance equivalent processing method of the connecting line of the lead-in power supply buses, and carrying out short-circuit fault simulation modeling. The method for establishing the equivalent model of the tie line between the two introduced power buses of the internal power grid of the enterprise is provided by performing equivalent processing on the impedance of the introduced power buses, especially the tie line, so that the correctness of short-circuit current calculation of the enterprise can be improved. The method is suitable for the field of enterprise internal power grid simulation modeling.

The present invention discloses a multi-region decomposition coordinated optimization scheduling method, device and storage medium. The method comprises: performing augmented Lagrangian relaxation on the coupling relationship between each adjacent sub-region according to the constraint conditions and objective function of each sub-region to obtain the first augmented Lagrangian function of each sub-region; and using the AMMD algorithm to calculate the first tie-line flow of each sub-region according to the first augmented Lagrangian function; wherein each sub-region is decomposed by the overall regional power system; substituting the tie-line flow of each sub-region as an initial value into the coupling relationship of each corresponding adjacent sub-region to solve the unit combination of each sub-region; and using the ADMM algorithm to calculate the second tie-line flow of each sub-region according to the tie-line flow and unit combination of each sub-region; and performing power system economic scheduling on the overall regional power system according to the unit combination and the second tie-line flow of each sub-region.

The invention discloses a probabilistic power supply guarantee capability assessment method considering new energy uncertainty, which comprises the steps of obtaining historical statistical data of new energy in different time periods, constructing a new energy output probability density function based on the historical statistical data, and determining new energy probability density distribution; time sequence production simulation calculation is carried out based on the source network load storage calculation boundary in the target research area, and a conventional unit output curve, a tie line power exchange curve, a pumped storage energy output curve and a demand side response working curve are obtained; based on the conventional unit output curve, the tie line power exchange curve, the pumped storage energy output curve, the demand side response working curve and the load demand curve, constructing a power demand curve which needs to be satisfied by new energy output; and based on the power demand curve and the new energy probability density distribution which need to be satisfied by the new energy output, obtaining the power gap probability and the power shortage expectation of the target time period, and carrying out supply guarantee capability evaluation based on the power gap probability and the power shortage expectation.

The application discloses a kind of energy storage collaborative control method and device for power grid primary frequency modulation and secondary frequency modulation, method includes: the regional equivalent frequency response model of multi-region interconnected power grid is constructed;According to the command of energy storage primary and secondary frequency modulation of regional tie-line exchange power and regional equivalent frequency response model same direction condition is obtained, and based on fuzzy logic and centroid defuzzification obtains energy storage response priority;According to energy storage response priority and command same direction condition distribution primary and secondary frequency modulation power.The method of the application can make full use of the multi-scene output characteristics of energy storage, optimize its output under the premise of meeting the safe operation of power system, and improve the economy.

The present invention discloses a regulating device for a distributed energy network and a method for using the device. The device comprises an energy storage box, the outer side of which is hingedly connected to an equipment box door, and a signal transmitter is connected to the wires directly above the energy storage box. A power connection bracket is nested and connected to the right side of the energy storage box, and a power plug is bolted to the outer side of the power connection bracket. The internal wires of the energy storage box are connected to a rectifier, and the wires directly below the rectifier are connected to a converter. The device also comprises: a transformer box, the outer side of which is nested and connected to a transformer cable, and a rod-shaped insulator is wound around the outer side of the transformer cable, and a high-voltage support is bolted to the top of the rod-shaped insulator; and a winding group, which is installed on the outer side of the power connection bracket. The regulating device for the distributed energy network is provided with a power connection connector and a power connection bracket. When a detection unit detects that the voltage and current of the connecting line are abnormal, after a fourth preset time delay, the second microgrid disconnects the power connection connector in the second microgrid.

This invention discloses a calculation process and speed-up method for remote coordinated adjustment of various power electronic devices, including the following steps: 1) acquiring input power system data and establishing physical models of various power electronic devices; 2) calculating a modular local sensitivity matrix based on the physical models of the power electronic devices; 3) calculating the target physical quantity y; 4) obtaining the minimum change Δu of the control parameters of the power electronic devices during the k-th alternating iteration through pseudo-inverse calculation based on the modular local sensitivity matrix and the target physical quantity y. (k) and update the control parameter u (k+1) =u (k) +Δu (k) 4) Determine whether the active power of the tie line and the alternating iterative power flow both satisfy the convergence criterion at the k-th iteration. If so, output the control parameters of the power electronic equipment; otherwise, return to step 2). This invention can reuse the calculation results of the alternating iterative method and directly obtain the local sensitivity calculation, thus improving the solution efficiency of the remote coordinated adjustment strategy.

The invention discloses a method and a device for positioning a low-frequency oscillation source of a wind-thermal bundling system. The method comprises the following steps: acquiring multi-source signals of the wind-thermal bundling system; carrying out adaptive wavelet threshold anti-noise preprocessing; carrying out adaptive noise intensity set empirical mode decomposition; screening a wind-fire coupling key mode; calculating a wind-fire adaptive dissipated energy flow; and oscillation source determination based on phase coupling: constructing a multi-condition fusion determination logic in combination with a phase coupling relationship between a dissipated energy flow trend and a wind-fire key mode and a phase coupling relationship between the dissipated energy flow trend and an electric energy transmission signal so as to realize oscillation source type identification. According to the invention, accurate identification of oscillation sources (a wind power side, a thermal power side and a tie line) in a frequency band of 0.1-2Hz is realized, and both positioning accuracy and engineering real-time performance are considered.

The application discloses a kind of distributed intelligent power grid optimization scheduling method and terminal, for each independent dispatching area of distributed intelligent power grid, with the minimum operating cost of each independent dispatching area as target, establish the local power distribution network optimization scheduling model corresponding to each independent dispatching area, then with the voltage of adjacent independent dispatching area tie line two sides as consistency variable, using local power distribution network optimization scheduling model constructs global distributed intelligent power grid optimization scheduling model, using alternating direction multiplier method to solve standard alternating iteration problem, to obtain the scheduling strategy of distributed intelligent power grid. Therefore each independent region only and adjacent region carry out the interaction of voltage information, can well meet the privacy of source load information and operating information in each independent operation subject, and consider distributed power supply, switchable capacitor, on-load voltage regulating transformer tap and other intelligent power grid regulation measures, can better realize distributed optimization scheduling.

The present application relates to the field of power system and automation, in particular to a multi-level coordination method for cross-provincial reserve sharing considering uncertain channel capacity, the steps are as follows: a dynamic security interval calculation model of cross-provincial tie-line is constructed considering the uncertainty of new energy physical prediction and market behavior, and the dynamic security transmission capacity interval is determined; a cross-provincial reserve coordination transaction optimization model covering the market clearing of grid dispatch cross-provincial reserve and the safety check of provincial dispatch under accident scenario is established respectively, and a cross-provincial reserve coordination optimization model covering the dispatch of national dispatch cross-provincial reserve and the safety check of grid dispatch under accident scenario is established; a multi-level coordination solving model is established based on the alternating direction multiplier method, the two reserve coordination optimization models are solved with the dynamic security transmission capacity interval as the constraint, and the cross-provincial reserve coordination operation scheme is generated. The present application can maximize the release of reserve sharing benefit under the premise of ensuring the safety of power grids at all levels, and improve the system's resilience and economic level.