391 results about "Power market" patented technology

The present invention provides methods and systems for managing a bulk electric power market. A set of inter-related automated process streams relating to the bulk electric power market are implemented. A plurality of automated processes for each process stream may also be implemented. At least one process of each process stream serves as an input to, or output from, at least one other process stream. Each process may comprise: (i) automated inputs; (ii) automated activities; (iii) and automated outputs. The process streams may be used to manage a bulk electric power market and to control an electric power grid. For example, the process streams may be used for determining market-based wholesale electric rates; scheduling transmission outages; creating a day-ahead market schedule; and calculating monetary positions of customers involved in settlement of the day-ahead market.

The invention belongs to the technical field of microgrid optimization operation and discloses a method for photovoltaic microgrid energy storage multi-target capacity configuration by taking demand response into consideration. The method includes constructing a user multi-period electricity price response model based on price elasticity matrix of demand, providing an energy storage charge and discharge strategy and a photovoltaic microgrid optimization operation strategy under time-of-use electricity price, and conducting optimized configuration of photovoltaic microgrid energy storage capacity by using a modified non-dominated sorting genetic algorithm (NSGA-II) according to system scheduling and constraint conditions with the maximal photovoltaic absorption and maximal net profit as two goals. The influence of load optimization caused by user side participating demand responses on photovoltaic microgrid energy storage capacity configuration under power market environment is taken into consideration, rationality of photovoltaic microgrid energy storage investment is achieved while satisfying the requirement of a system.

The invention discloses a power transaction method and device based on block chain technology. The method includes that an electronic device receives an operation instruction for the power transactionintelligent contract, wherein the power transaction intelligent contract adopts virtual currency to perform settlement; the electronic device responds to the operation instruction to process the power transaction intelligent contract; and the electronic device submits the processing result of the power transaction intelligent contract to a block chain network, so that a node of the block chain network stores the processing result in the block chains of the block chain network. The invention further discloses a power transaction device based on block chain technology and a readable storage medium. By means of the method, the operation cost of the power market can be reduced.

The microgrid, which serves as an effective means for accessing distributed generation to the power grid, has gradually attracted wide attention. How to design an effective microgrid transaction mechanism and realize effective allocation of electric power resources is a key issue in the reformation of the electric power market. The invention designs a decentralized microgrid transaction mechanismand model. Both producers and consumers in the microgrid can initiate a real-time transaction request, and users are motivated to make rational bids by adopting bilateral auction rules; secondly, a microgrid operation method based on an Ethereum blockchain technology is proposed so as to ensure the transparency, openness and information symmetry of decentralized transactions, and the generation process and transaction settlement method of a smart contract for power transactions are described in detail.

The invention relates to a grid-connected microgrid reliability evaluation method considering peak load shifting. The method includes the following steps that: the fuzzy membership degree of a peak period and a valley period is set according to the load curve of a power system; the fuzzy similarity matrix R and equivalence matrix R<^> of various time points of the load curve are determined, dynamic clustering is carried out through a lambda-cut relation, so that the division of the peak period and the valley period can be realized; adjustment is made according to the order of the power market and the actual electricity consumption demands of people, so that a corrected typical load peak period, normal period and valley period can be obtained; a load demand response model is established according to three constraint elements, namely, the total electricity consumption of loads, electricity price and customer' satisfaction, and an objective function described in the descriptions of the invention is provided, and a solution can be obtained through using a particle swarm algorithm, and a corrected load curve is determined; and the reliability of a corrected load curve-based grid-connected microgrid is determined through using a Monte Carlo simulation method. The method of the invention has the advantages of great universality and simple algorithm interface.

The invention discloses a distributed optimization tide method of a radial power distribution network. The method comprises the steps of connecting a photovoltaic power generation and battery energy storage device into a power distribution network in a distributed manner, constructing an optimization tide model of the power distribution network, splitting an original problem of optimization tide of the power distribution network into several subproblems by constructing an augmented Lagrangian function, solving the original problem by asynchronous iteration among the subproblems, breaking the optimization tide model into an upper layer and a lower layer, and performing distributed solving on the optimization tide problem by an alternate direction multiplier algorithm to obtain final optimaloutput and node electrovalency of distributed units. The distributed method can be realized only by exchange of upper and lower limited boundary information; and node shadow price related to internalconstraint of the power distribution network and root node electrovalency of the power distribution network are mutually independent, so that the method can serve as a coordination strategy of a power distribution system operator to a polymer in a power market environment.

The invention discloses a multi-time-scale large-user direct trading power market analog simulation method. The method comprises the following steps of at the beginning of a month, collecting large user power consumption characteristic information, a power plant unit price curve and power grid transmission data and brining direct-trading long-term markets where multiple large users and multiple power plants are participated together; using a long-term contract decomposition algorithm to acquire daily electricity load of the large users who participate in the direct trading; establishing and solving a monthly capacity market trading model, and acquiring a maximum capacity per hour of a generator set of each power plant and a possible monthly starting up plan; rolling the solving day-ahead market trading model one day in advance, completing day-ahead trading between the power plants and the larger users and acquiring a power plant unit output curve and a large user daily electricity demand. In the invention, a long-term trading market and a day-ahead trading market of the power plants and the large users can be effectively combined, and direct trading between the power plants and the large users is simulated so that multi-time-scale user direct trading market analog simulation is realized.

The invention provides a flexible load scheduling model in a load aggregator and wind power farm coordinate operation mode. The model includes the steps: (1) taking power load governed by a load aggregator as an object to determining flexibility of the load; (2) building the load aggregator and wind power farm coordinate operation mode; (3) taking the consumption requirement of a wind power farm as a basis by a load aggregator, taking a maximum benefit as a goal and building a day-ahead optimal scheduling model. The model is beneficial to guidance of the load aggregator to aggregate the flexible load to participate in a power market, so that wind power consumption level is improved, and all-win of the wind power farm, the load aggregator and a user is realized.

The invention discloses an edge-cloud collaborative user load prediction control and transaction system and an implementation method thereof; the edge-cloud collaborative user load prediction controland transaction system comprises a cloud, an edge and a client, and the edge comprises a block chain metering communication settlement terminal, a programmable block chain gateway, a terminal controlmodule and a terminal metering module; the cloud comprises a communication and data interface module, a database module, a data center module, a prediction module, a scheduling response module, a coordination control module, a transaction module and an automatic settlement module; the Client comprises an intelligent terminal module. Interaction with the dispatching module on the power grid side and the electricity market transaction module on the transaction side can be achieved, power grid dispatching instruction response and electricity market transaction are supported, and the power grid issupported to master the accurate user system energy consumption condition. By converting a user system into predictable and controllable resources, power grid dispatching and user instructions can beaccurately and automatically responded. And the edge side block chain records the charging period to guarantee data security, and the smart contract transaction automation is realized.

The invention relates to a method and a system for electric quantity distribution. The method comprises the steps of: acquiring cost data, historical reference electricity price data and power transmission line information of a power plant, load demand for electric quantity of a spot market, and a contract electricity price of a bilateral market; initializing distributed electric quantity of the power plant in the bilateral market and the spot market, and a distributed electricity price of the power plant; establishing a probability density function according to the historical reference electricity price data, and acquiring a plurality of electricity price strategies by adopting a Monte Carlo method; calculating transaction prices of a power market under different electricity price strategies through a DC optimal power flow model; acquiring spot market profit values of the power plant under different electricity price strategies according to the transaction prices of the power market; and establishing an adaptability function, solving the adaptability function according to SPSO-TVAC, and acquiring the distributed electric quantity of the power plant in the bilateral market and the spot market. The method and the system provided by the invention are high in calculation efficiency, and have high application value.

The invention discloses an AC / DC interconnected power grid continuous power flow model with a VSC-MTDC. The main steps comprises the steps of (1) establishing a power flow model of a multi-terminal flexible DC and AC transmission systems, (3) establishing a control model of interconnected section transmission active power of the AC transmission system and the DC transmission system, (4) establishing an AC and DC interconnected power grid power flow model considering an interconnected section transmission active power constraints, (5) calculating the sensitivity K(g)<1> of all generator outputactive power to AC tie line transmission active power and determining an AGC unit and a unit of parameter load power incremental allocation according to the safety margin of the tie line transmissionactive power and K(g)<1>, and (6) obtaining a continuous power flow calculation result through four links of parametric equations, prediction, correction and step length adjustment. According to the AC / DC interconnected power grid continuous power flow model provided by the invention, an interconnected section active power market transaction constraint, a tie line transmission active control behavior and flexible DC power transmission system control mode are accurately simulated, and an effective guarantee is provided for the safety analysis and planning design of the power system operation.

The invention discloses a method for evaluating power quality comprehensively based on the Vague sets and the improved technique for order preference by similarity to ideal solution and the application thereof. The method consists of the steps of: monitoring the common connection points of an offshore wind power plant, and acquiring the simulation data of power quality indicators; determining the weight vectors (i)W( / i) of the power quality indicators of each evaluation object; indicating the scores of the indicators of each evaluation object with Vague values; determining an absolute positive ideal solution and an absolute negative ideal solution; calculating the distance between each evaluation object and the absolute positive ideal solution and the distance between each evaluation object and the absolute negative ideal solution and the relative closeness of each evaluation object, and comprehensively evaluating and sequencing the power quality according to the calculated results. By means of this invention, the weights are determined more objectively and less subjectively, and in the meantime, the weight of indicators and the weights of the true membership function, the false membership function and the abstention part of the indicators are considered, so that the evaluation result can be closer to the actual situation. The method plays a very significant role in enhancing the transparency of the power market and improving the power supply quality of the power system.

The invention discloses an intelligent electricity meter capable of analyzing quality of electric energy and a method for metering and analyzing quality by using the intelligent electricity meter. The intelligent electricity meter is characterized in that: a voltage transformer (1A) and a current transformer (1B) in a user line are connected with an analog / digital (A / D) converter (3) through a low-pass filter amplifier (2); and an ARM processing chip (4) is connected with an external memory (5) and a liquid crystal display (LCD) (6) of the A / D converter (3) simultaneously. The intelligent electricity meter can analyze the quality of the electric energy provided for the user, provide an electric energy quality state report for the user, timely transmit an early warning signal for protecting the electrical equipment to the user, and provide a basis of pricing by different power quality for the electricity market.

The invention relates to a coalition method for reducing the cost of deviation assessment in medium and long-term power market for power distribution companies. The method comprises the steps of calculating the cooperation cost of the deviation assessment alliance of the power selling company; calculating the alliance income of the power-selling companies considering the cooperation cost under thetypical medium and long-term market deviation electricity quantity assessment mechanism; carrying out the quantitative evaluation of marginal revenue contribution, contract execution bias, alliance dependence and alliance structure importance; using entropy weight-analytic hierarchy process (AHP) to measure the relative importance of each index and calculate the distribution of alliance income; calculating the comprehensive utility of profit expectation and risk loss of power company; constructing and solving the alliance optimization model aiming at maximizing the overall comprehensive utility of the alliance. The method of the invention can effectively reduce the deviation assessment cost and reduce the market operation risk of the power selling company by increasing the power quantityfree of assessment and offsetting the positive and negative deviations, and the like, and has good economic efficiency and practical application value.

The invention relates to a power market price difference contract electric quantity decomposition technology and a decomposition result comprehensive evaluation method. The method comprises the stepsthat annual contract electric quantity is decomposed according to a corresponding annual typical output curve; Decomposing monthly decomposed electric quantity to days through annual monthly decomposition and cross correction in combination with days and electricity consumption of each type of days within a month; On the basis, the daily contract electric quantity is decomposed to each time period, the decomposed electric quantity deviation caused by the maintenance plan is corrected based on a cross correction algorithm, and a financial settlement delivery curve for authorizing the price difference contract electric quantity at each time period is formed; And finally, establishing a post-evaluation index system of contract electric quantity decomposition, and evaluating a decomposition result from four aspects of risk, fairness, economy and rationality. The new electric power market contract electric quantity decomposition method and the post-evaluation model provided by the inventioncan provide a reasonable settlement basis for two parties of electricity generation and purchase, evaluate the advantages and disadvantages of the contract electric quantity decomposition method, andrealize the coordinated operation of the contract market and the spot market.

The invention provides an electric power transaction retail package management system and method with a user-defined revenue mode, and belongs to the technical field of power market retail package management and settlement systems. The system comprises a user login module, the system comprises a package template management module, a first display module, a historical data management module, a second display module, a custom package selectable content management module, a custom package generation module, a custom package trial calculation module, a third display module, a custom package auditing module, a custom package settlement module and a fourth display module. According to the invention, self-defined generation of the retail service package between the electricity selling company andthe user can be realized; and settlement and charging can be carried out on the signed package efficiently and accurately, the service requirements of an electricity selling company and users are met, the single structure of the package is broken through, the package is enriched, the user stickiness of the electricity selling company is improved while the package is oriented to user categories, and the flexibility of the retail market is improved.

The invention relates to a method for a variable frequency air conditioner participating in the power and frequency control of a power system, and the method comprises the steps: data preparation: enabling a market member of a power market before an hour to report a cost curve to a dispatching center, and enabling the dispatching center to calculate load prediction data; dispatching center power generation and consumption joint clearing: employing a power generation and consumption joint clearing model giving consideration to load agent for implementation, enabling the dispatching center to carry out the joint optimization of an AGC set, an non-AGC set and the load agent according to the data of a power generation cost curve, transmitting an optimization result to the market member, enabling the load agent to calculate the real-time electricity price for a governed terminal user, and transmitting the electricity price to a terminal user through a broadcast; real-time power balance: enabling the AGC set to automatically adjust the power generation power according to the imbalance of the total power of the system, thereby achieving the real-time balance of the power of the power system and the stabilization of the frequency of the power system.

The invention discloses a power market equilibrium solution method based on a two-layer particle swarm optimization algorithm. The power market equilibrium solution method based on the two-layer particle swarm optimization algorithm includes the steps of (1) constructing a power producer main energy quotation strategy and an ISO (international organization for standardization) market clearing model based on the rules of single-time power market bidding; (2) constructing an Nash fitness calculation function for a bidding strategy combination of power producers; (3) searching for possible strategy combinations of the power producers through an outer particle swarm optimization algorithm, solving the Nash fitness of each strategy combination according to the Nash fitness calculation functionand combined with an inner particle swarm optimization algorithm and an interior point method, and then solving and acquiring an Nash equilibrium strategy combination as a power market optimal strategy via corresponding Nash fitness for each strategy combination. The power market equilibrium solution method based on the two-layer particle swarm optimization algorithm has the advantages of avoidingsemi-smooth nonlinear equations formed for solving double-layer optimization of the power generators through the use of particle swarm optimization algorithm to search for equilibrium solutions, andsimplifying the algorithm at the cost of time under the premise of ensuring accurate results.

The invention relates to a hydropower station group monthly transaction plan electric quantity decomposition method considering power grid section constraints, and belongs to the technical field of hydropower dispatching operation. According to the method, the monthly transaction plan electric quantity decomposition scheme of the hydropower station group can be quickly determined by adopting the multi-dimensional search algorithm by taking minimum water consumption in the scheduling period as a target and considering the main transmission section control limit of the power grid. Firstly, monthly transaction plan electric quantity of each power station is extracted, and a hydropower station group water consumption minimum model considering power grid transmission section limitation is constructed; secondly, a multi-dimensional search algorithm is constructed from three dimensions of time, a power station and a feasible region, a check correction strategy is introduced for power grid section limit constraints, namely, loosening is performed, and then optimization calculation is performed, whether the output of each section violates the constraints one by one according to an optimization result is checked, and if the output violates the constraints, an equal proportion reduction and load transfer strategy are adopted to ensure that section safety constraints are met. The power generation water consumption of the system can be effectively reduced, and a technical thought is provided for medium-and-long-term transaction plan execution in a power market environment.

The invention relates to a market risk assessment method based on power transaction data, and the method comprises the steps: 1), carrying out the dimension reduction of a power market risk monitoringfull-index library based on a Lasso regression model, and constructing a power market risk monitoring index system; 2) determining an index threshold value by adopting a mean number principle method,screening abnormal data, and carrying out preliminary identification on a risk object; 3) calculating the subjective weight and the objective weight of each index by using an improved CRITICG1 method, calculating the comprehensive weight of each index by using an improved game theory combination weighting method, constructing an aggregation model, and determining the risk level of the screened market subject by using a comprehensive evaluation method; and 4) performing risk assessment on the market risk of the market subject according to the risk level, and establishing different early warning mechanisms to warn the market risk. Compared with the prior art, the method has the advantages of effectively monitoring potential market violation behaviors of different market subjects, improvingthe precision and speed of power market risk assessment and the like.

The invention discloses a central air-conditioner energy storage characteristic-based power market optimal dispatching strategy. According to the power market optimal dispatching strategy, a storage battery model is established according to the thermodynamic model of a building to which a central air conditioner belongs; in the day-ahead market, a load aggregator performs electricity purchase arrangement according to clearing electricity price or load prediction condition of each time section of the next day, so that minimum day-ahead market electricity purchase cost of the load aggregator can be realized; since errors exist in load prediction of the load aggregator, difference between actual electricity purchase quantity and planned electricity purchase quantity is required to be balanced by means of real-time market, and the load aggregator predicts electricity price, load and outdoor temperature at time sections in the further according to current real-time electricity price, load and outdoor temperature; and an optimal dispatching model is established with minimum electricity purchase cost adopted as a target function and charging and discharging power of a storage battery adopted as decision-making variables, so that charging and discharging can be re-arranged for the storage battery, and the behaviors of the load aggregator in the real-time market can be optimized.

The invention discloses an electric vehicle energy efficiency power plant characteristic parameter evaluation method considering user participation degrees; the method comprises the following steps: aiming at an electric vehicle using a distributed charging pile to carry out normal low speed charging, and building a monomer electric vehicle model integrally considering active and reactive power response ability respectively from the power angle and energy accumulation angle; aiming at an electric vehicle of the working purpose, and building an electric vehicle participation degree response model; finally building an electric vehicle energy efficiency power plant model aiming at an electric vehicle cluster on the basis of the monomer electric vehicle model and the electric vehicle participation degree response model, wherein the electric vehicle energy efficiency power plant model comprises an electric vehicle energy efficiency power plant response ability parameter, an electric vehicle energy efficiency power plant energy storage ability parameter and an electric vehicle energy efficiency power plant price response cost parameter. The method can provide key model parameters for the electric vehicle energy efficiency power plant participating the power market transaction mechanism.

The invention discloses an electric power daily load prediction method. The method comprises the following steps: 1, ; and establishing a load category set, establishing a key influence factor set, calculating a classification rule between the load category and the key influence factor characteristic value to establish a classification model, analyzing the category to which the key influence factor data of the day to be predicted belongs, training a load prediction model, and calculating a power load prediction result by using the load prediction model. According to the scheme, the problem that a load prediction model is inaccurate due to divergence of load data can be effectively avoided, the accuracy of a prediction result is improved. Meanwhile, the data dimension in the prediction process can be reduced, the calculation efficiency is improved, the power generation requirement and the power selling requirement can be effectively met, economic benefits are guaranteed, and developmentof power market economy is promoted.

The invention discloses a multi-virtual power plant joint optimization scheduling method based on a master-slave cooperative game, and belongs to the field of power system power supply scheduling. Themethod comprises the following steps of: establishing different types of virtual power plant optimization scheduling models; establishing a master-slave game model of a power distribution network operator and the plurality of virtual power plants based on the established different types of virtual power plant optimization scheduling models, and iteratively solving the master-slave game model in combination with a particle swarm algorithm to obtain a solving result; and according to the solving result, adopting a Shapley value method to carry out cooperative profit redistribution, and outputting a final solving result. Specifically, the established different types of virtual power plant optimization scheduling models comprise a more-electricity type virtual power plant scheduling model, aless-electricity type virtual power plant scheduling model and a self-balancing type virtual power plant scheduling model. According to the method, an optimal transaction strategy that the power distribution network operator and the virtual power plants participate in the power market can be solved, electric energy sharing among the multiple virtual power plants is promoted, the comprehensive utilization efficiency of distributed energy is remarkably improved, and nearby consumption and reasonable scheduling of various distributed power generation resources can be achieved.

The invention belongs to the field of power transaction risk management, and relates to a mobile power transaction risk assessment method based on analytic hierarchy process. The method comprises thefollowing steps: (1) designing an index system conforming to unified power market mobile terminal transaction risk management; Wherein the index system comprises a target layer, a criterion layer, a primary element layer, a secondary element layer and the like; (2) explaining mobile power transaction risk factor indexes and describing a calculation method; (3) calculating the weight of the power transaction risk index; And (4) carrying out consistency inspection. The invention aims to ensure the safety of electric power transaction.

The invention discloses a K-means clustering-based distributed energy storage economy regulation and control method in a power market. The method comprises the following steps of 1, collecting power grid data, load data and distributed energy storage data; 2, establishing a distributed energy storage economic model, and analyzing the operation cost and the benefits of the distributed energy storage economic model; 3, inputting parameters of distributed energy storage, and determining an initial clustering center in a follow-up manner; 4, clustering and grouping the distributed energy storage by using a K-means clustering algorithm; 5, optimizing the charging and discharging power of the distributed energy storage by taking the improvement of the economy of the distributed energy storage and the maximum preservation of the adjustable potential of the distributed energy storage as an objective function, and taking each clustered group as a control unit; 6, issuing a charging and discharging instruction of the distributed energy storage. According to the method, the difference of life loss between distributed energy storage individuals in the operation process can be balanced. The total operation cost is reduced, and the overall regulation and control potential of the distributed energy storage in the operation process is improved.

The invention discloses a water and electricity absorption method and device based on thermal power deep peak regulation. The method comprises the steps: obtaining an electric energy market declaration, building an electric power market pre-clearing model which does not consider the thermal power deep peak regulation, carrying out solving, and obtaining a pre-clearing result; obtaining a water abandoning electric quantity condition of each hydraulic power plant according to the pre-clearing result; judging whether water abandoning exists in each hydraulic power plant or not, and if not, takingthe pre-clearing result as a final clearing result; if water abandoning exists, carrying out water abandoning analysis, and determining a thermal power deep peak regulation quantity demand; obtainingthermal power deep peak regulation market declaration, establishing an electric power market joint clearing model considering thermal power deep peak regulation, and carrying out solving to obtain ajoint clearing result; and carrying out water and electricity absorption adjustment according to the joint clearing result. Deep peak regulation is performed under a condition that water is abandonedin a power system so that a thermal power generating unit voluntarily reduces output, more power generation spaces are vacated for water and electricity, and abandoned water is reduced.

The invention relates to a power daily load characteristic indicator prediction method. The method includes: selecting or setting certain industries as typical industries, and selecting or setting certain residential users as typical users; regularly or irregularly collecting power consumption load data of the typical industries and the typical users for a plurality of times, acquiring power consumption daily load characteristic indicators of the typical industries and the typical users of each time by induction and reorganization, and drawing a daily load curve; building a prediction model of departmental load characteristic indicators and whole-system load characteristic indicators, acquiring changing tendency of household power consumption of the typical industries and the residential users according to the daily load curve to acquire predication values of daily load rate and minimum daily load rate. By the power daily load characteristic indicator prediction method, load characteristic changing rule and tendency can be accurately known, scientificity and accuracy in power market analysis prediction are improved, and strength in supporting work like power grid programming, planning and production running.

The invention provides a double-layer two-stage demand response scheduling method and system based on a load integrator. The first stage is a demand response bidding stage; the upper layer takes profit maximization of a power distribution network operator as a target, the lower layer takes profit maximization of a load integrator as a target, a lower layer model is converted into dual constraintsand strong dual equations through a primal-dual theory, double-layer optimization is converted into single-layer optimization, and a bidding strategy (quotation and quantity of demand response) of theload integrator is obtained through solving. In the second stage, after the load integrator determines the amount of demand response per hour, a strategy scheduled by the load integrator is determined by taking user cost participation minimization as a target and taking physical characteristics of the load as constraints. By establishing the double-layer two-stage demand response model, the bidding and scheduling strategy of the load integrator can be accurately obtained, so that the income of the demand response integrator participating in the power market is effectively improved, the enthusiasm of the demand response integrator participating in the power market is improved, and the safety and stability of the power system can be effectively improved.

The invention discloses an electricity-to-gas conversion-gas storage-gas turbine capacity optimal configuration method and system with wind curtailment participating in power grid frequency modulation. According to the invention, an operation scene of producing natural gas by utilizing abandoned wind through PtG is innovatively proposed, the natural gas is stored through a gas storage tank, poweris generated through a gas turbine unit (NGGU) to participate in frequency modulation, and a coordinated operation strategy of each device is proposed; then, according to the operation strategy, a cost-income model of the PtG, the gas storage tank and the NGGU participating in the frequency modulation process is constructed in the operation strategy, and capacity optimal configuration of each device is realized by taking maximization of net income as a target; finally, the actual wind curtailment of a certain wind power plant and an actual issuing instruction of certain automatic generation control (AGC) are taken as references; planning calculation is carried out through a particle swarm optimization algorithm, and the economy and feasibility of participating in the frequency modulation auxiliary service of the power market under the optimal configuration of PtG, gas storage and NGGU capacities by utilizing the wind curtailment and PtG technologies of the wind power plant are analyzedthrough results.