52 results about "Capacity market" patented technology

The invention discloses an electric power capacity market clearing method and device considering flexibility. The method comprises the following steps: constructing an electric power capacity market clearing model considering flexible adjustment requirements of a system; performing dual change and linearization processing on the clearing model, and solving the model; carrying out capacity market pricing and settlement based on a solving result; wherein the step of constructing the power capacity market clearing model considering the flexible adjustment demand of the system comprises the following steps: determining a capacity demand curve which can adopt a variable resource demand curve; constructing a target function with maximization of social welfare as a target; determining capacity market clearing constraint conditions considering flexibility; according to the invention, the capacity value of the new energy can be priced and metered, and the new energy operation cost is reduced.

The invention provides a virtual power plant capacity configuration optimization method and system considering an accurate capacity market, and the method comprises the steps: building a virtual power plant model according to the related parameters of a virtual power plant; according to the preprocessed historical demand data and price data of the capacity market, establishing a capacity market model; based on the virtual power plant model and the capacity market model, taking maximization of the total revenue of the virtual power plant in the capacity market as a target, considering system reliability, and establishing an optimal configuration model; the optimal configuration model is solved, a global optimal solution is output, and an optimal configuration scheme of the virtual power plant in the capacity market is obtained; by implementing the method provided by the invention, the virtual power plant can participate in the power capacity market more flexibly, the economic benefit of the virtual power plant can be improved, the stability and reliability of the power system can be enhanced, and powerful support is provided for healthy development of the power market.

The invention belongs to the technical field of electric power system operation control, and relates to a unit operation strategy optimization method under cooperation of an electric energy market and a capacity market, which comprises the following steps: 1, constructing a decision optimization model of an upper-layer power generation enterprise participating in an electric energy spot market and an electric power capacity market, 2, constructing a lower-layer electric energy spot market clearing model, the method comprises the steps of 1, establishing a lower-layer power capacity market clearing model, 4, converting a lower-layer market clearing problem into a KKT optimality condition, 5, carrying out model linearization processing, and 6, calling a Gurobi solver to solve a linearized mixed integer linear programming problem. According to the method, the collaborative operation relationship between the electric energy spot market and the electric power capacity market is fully considered, short-term optimization of the electric energy market and long-term planning of the electric power capacity market supplement each other, the linkage between the markets is enhanced, the overall market efficiency is further improved, and the reliability adequacy of the system is effectively guaranteed.

The invention relates to a multi-region power system capacity configuration determination method considering intra-region and inter-region market joint clearing of a capacity market, and the method comprises the steps: constructing a clearing model for intra-region and inter-region electric energy market joint optimization and a capacity market clearing model, and determining the coupling constraint of the intra-region electric energy market and inter-region power purchase, and establishing a joint clearing model to obtain a double-layer optimization model, and solving the joint clearing model by using a Karush-Kuhn-Tucker condition to obtain a joint optimization scheme of power generation installed capacity configuration of each region, cross-region power transmission capacity distribution and system reserve capacity configuration. According to the method, the capacity market, the intra-regional electric energy market and the inter-regional electric energy market are comprehensively considered, so that combined clearing of the electric energy market and the capacity market is realized on the premise of ensuring the stability of the power system, and optimal configuration of resources and coordinated clearing of the electric energy market and the capacity market are realized in the regional market range; and technical support is provided for combined stable operation of a future capacity market and an electric energy market.

The invention discloses a unit output adjustment method and device considering various auxiliary services, and a medium. The method comprises the following steps: establishing a new energy time-sharing capacity market model related to a new energy unit and a flexible resource spot market model related to a flexible resource unit according to operation data of a power system; and solving the model, respectively obtaining the output of the new energy unit and the output of the flexible resource unit, and adjusting the power system according to the output of the new energy unit and the output of the flexible resource unit. According to the unit output adjustment method and device considering various auxiliary services and the medium provided by the invention, by establishing the new energy time-sharing capacity market model, the output condition of a new energy unit can be simulated and predicted more accurately; by introducing the flexible resource unit, the flexibility of the power system can be remarkably improved, and the problems that the resource configuration of the power system is too single and the load is difficult to respond to the fluctuation of new energy in time can be solved.

The invention discloses a capacity market clearing and pricing method and device and a medium, which are applied to an electric power system, and the method comprises the steps: obtaining the new energy real-time data of a new energy station in the electric power system, inputting the new energy real-time data into a capacity contribution evaluation network model, and obtaining an equivalent reliable capacity; calculating a traditional unit capacity, an energy storage capacity and a demand side response capacity respectively; and respectively inputting the equivalent reliable capacity, the traditional unit capacity, the energy storage capacity and the demand side response capacity into a clearing model to obtain a bid-winning subject and a clearing price of the corresponding capacity. According to the method, the effective capacity of various resources can be accurately quantified, and a price signal capable of truly reflecting the capacity scarcity degree of the system is formed on the basis, so that the optimal power supply structure investment is effectively guided, and long-term reliable operation of the high-proportion new energy power system is guaranteed.

The present invention belongs to the technical field of power system operation control, and relates to a method for optimizing unit operation strategies under the coordination of an electric energy market and a capacity market, comprising: 1. constructing a decision optimization model for upper-level power generation enterprises to participate in an electric energy spot market and an electric capacity market, 2. constructing a lower-level electric energy spot market clearing model, 3. constructing a lower-level electric capacity market clearing model, 4. converting the lower-level market clearing problem into a KKT optimality condition, 5. linearizing the model, and 6. calling a Gurobi solver to solve the linearized mixed integer linear programming problem; the present invention fully considers the coordinated operation relationship between the electric energy spot market and the electric capacity market, realizes the short-term optimization of the electric energy market and the long-term planning of the electric capacity market complement each other, enhances the linkage between markets, further improves the overall market efficiency, and effectively guarantees the reliability margin of the system.

The invention discloses an electric power demand dynamic pricing optimization method and system based on capacity market coupling, and relates to the technical field of electric power demand optimization, and the method comprises the following steps: building a target optimization model by taking user residue maximization as a first target and taking power generator profit maximization as a second target; solving the target optimization model based on a supply and demand balance equation, the user demand predicted value and the market constraint, and obtaining a pareto solution set; based on the pareto solution set, constructing a two-dimensional pareto leading edge, and selecting a pareto solution with the minimum Euclidean distance from the double-target ideal point as a preliminary Knee point; taking the preliminary Knee point as a reference, introducing power fluctuation minimization into the target optimization model, taking the power fluctuation minimization as a third target, performing secondary optimization on the pareto solution set, and constructing a three-dimensional pareto leading edge; and selecting a compromise optimal knee point meeting the three targets at the same time, and outputting the electricity price and capacitance configuration corresponding to the knee point. The method is used for solving the problem that high-dimensional optimization decisions are complex and target conflicts are difficult to balance in power market multi-target optimization.

The invention relates to the technical field of electric power systems, in particular to an electric power system clearing decision optimization method and system based on a capacity demand curve, and the method comprises the steps: obtaining the related data of an electric power system in a target region; constructing different types of capacity demand curve calculation models according to the related data of the power system; according to the capacity demand curve calculation model, constructing a double-layer market clearing model which comprises an upper-layer capacity market clearing model and a lower-layer electric energy market clearing model; and based on the double-layer market clearing model, updating different types of capacity demand curves in an interactive iteration manner, and solving an optimal power system clearing decision result. The objective of the invention is to accurately evaluate market clearing results under different capacity demand curves and improve the reliability of market clearing decisions. The relation between the capacity market and the electric energy market is coordinated, and optimal configuration of electric power resources is achieved.

A computer-implemented method is executed using a global energy management system computer in an energy and load resource network, the energy and load resource network comprising a plurality of energy generating resources, a plurality of load resources, a plurality of energy storage resources, and a plurality of virtual energy resources, the computer-implemented method comprising receiving a plurality of energy market data and a plurality of capacity market data items; executing an inference stage of a trained machine learning model over the plurality of energy market data and the plurality of capacity market data items to output predictions of generating capacity and load requirements; executing an optimization algorithm over the predictions of generating capacity and load requirements to output a plurality of optimized generating capacity and load requirements; forming a plurality of operational instructions for a plurality of the resources in the energy and load resource network, the plurality of operational instructions being formatted to cause the plurality of the resources in the energy and load resource network to conform to the plurality of optimized generating capacity and load requirements; transmitting the plurality of operational instructions to the plurality of the resources in the energy and load resource network to instruct the plurality of the resources in the energy and load resource network to conform to the plurality of optimized generating capacity and load requirements.

The invention provides a time-sharing capacity market optimization clearing method based on frequency modulation response characteristics, and the method comprises the steps: obtaining frequency modulation response characteristic parameters and capacity market operation parameters of a unit; according to the obtained parameters, constructing a time-sharing capacity market objective function considering frequency modulation response characteristics; constructing basic constraint conditions of the capacity market according to the obtained parameters; according to the obtained parameters, time-phased capacity constraints considering frequency modulation response characteristics are constructed; and finally, according to the obtained parameters, constructing a settlement model of the time-sharing capacity market. According to the method, starting from innovation of a power market mechanism, minimization of the total cost of the system is taken as an optimization target, the frequency modulation response capability and the time-phased capacity characteristic of the unit are considered, and the time dimension constraint of frequency modulation resources is considered, so that the unit with high-quality frequency modulation capability can obtain reasonable compensation and cope with the problem of insufficient flexibility of the power system; the frequency modulation resource configuration efficiency of the system is improved, and accurate evaluation and reasonable compensation of the frequency modulation capability are realized.

The invention relates to a method and a device for evaluating credible capacity of a wind-solar-energy storage integrated system and a storage medium, which are applied to the technical field of power dispatching, and comprise the following steps: constructing a tradable capacity optimization model of the wind-solar-energy storage integrated system based on historical operation data of the wind-solar-energy storage integrated system, and solving to obtain tradable capacity of each operation day in a historical period of time; obtaining the tradable capacity occurrence probability of the wind-solar-storage integrated system in each interval range based on the tradable capacity of each operation day in a historical period of time; on the basis, comprehensively considering the credible capacity expected income of the capacity market and the actual execution deviation risk, constructing an optimization model with the objective of maximizing the credible capacity income of the wind-solar-storage integrated system, and obtaining the credible capacity; compared with a traditional method, the method provided by the invention fully considers the potential benefit of the energy storage device in the aspect of improving the capacity supporting capability of the wind-solar-storage integrated system, and considers the execution deviation risk and the market transaction income, so as to improve the capacity market transaction income.

The present application discloses a method, device, and storage medium for generating an electrochemical energy storage power station operation strategy, relating to the technical field of energy storage power station operation optimization. The method comprises: constructing a first operation constraint condition based on a first operation parameter of a target electrochemical energy storage power station, constructing a second operation constraint condition based on a second operation parameter of other market participants and the first operation constraint condition; constructing a third operation constraint condition based on the minimum operation cost of the first subject in the electric energy market, and constructing a fourth operation constraint condition based on the minimum operation cost of the second subject in the capacity market; and determining a target operation cost minimum model under the first operation constraint condition, the second operation constraint condition, the third operation constraint condition, and the fourth operation constraint condition as an electrochemical energy storage power station operation strategy generation model to generate a target operation strategy for the target electrochemical energy storage power station. This method helps to accurately and reasonably determine the operation strategy of the electrochemical energy storage power station in various market environments.

The application discloses a kind of decision method and system of power capacity market demand response based on scene method, determine the basic assumption of the participation capacity market of demand side response supplier, based on basic assumption, determine the uncertainty factor of the demand side response supplier decision model to be established;Determine the probability distribution of uncertainty factor, extract the different scene of the demand side response supplier decision model to be established;Determine the number of scenes that need to be removed, remove scene based on preset rule;Based on the scene after removal, establish demand side response supplier decision model;Establishing deterministic decision model, random decision model as contrast model;To demand side response supplier decision model, deterministic decision model and random decision model are solved, obtain the participation capacity of demand side response supplier, income and loss;Calculate the probability of violation, based on the probability of violation and the income and loss of demand side response supplier, determine the optimal number of removed scenes.

The invention relates to the technical field of capacity credibility evaluation of capacity market subjects, in particular to a capacity credibility evaluation method for flexible resources participating in a capacity market. Comprising the following steps: sampling to generate a plurality of conventional generator set available output sequences; randomly generating output sequences of a plurality of new energy units; determining an energy storage output sequence according to the energy storage scheduling strategy; according to the available output sequence of the conventional generator set, the new energy output sequence and the energy storage output sequence, calculating an original reliability index value of the system added with the to-be-evaluated power generation resource; power generation resources to be evaluated are removed, a perfect unit with a certain capacity is connected, and a corresponding reliability index value is calculated; correcting the perfect unit capacity in the access system until the reliability index result is consistent with the original reliability index value or less than a limited error; the added perfect unit capacity is the credible capacity of the to-be-evaluated power generation resource, and the credible capacity is divided by the installed capacity of the to-be-evaluated power generation resource to obtain the capacity credibility.

The invention provides an operation optimization method for participation of long-time hydrogen energy storage in multi-variety power market joint transaction, belongs to the technical field of power market operation optimization, and solves the problem of lack of an operation optimization method for long-time hydrogen energy storage in multi-variety power market joint transaction in the prior art. The method comprises the following steps: constructing a capacity market income decision-making model by taking the maximization of the total income of a long-time hydrogen energy storage operator as a target; constructing a capacity market clearing model by taking the lowest total procurement cost of the market operator as a target; constructing a combined clearing optimization model of the electric energy-frequency modulation market by taking the minimum sum of the electricity purchasing cost and the auxiliary service cost as a target; the capacity market clearing model and the joint clearing optimization model are converted into constraint conditions of a capacity market income decision model, and the capacity market income decision model and the converted constraint conditions form a single-layer optimization model; and solving the single-layer optimization model to obtain an operation optimization result of the joint transaction.

A capacity market hierarchical design method for coordination mechanism utility incentive and user payment comprises the following steps: 1) determining a capacity demand sum according to a power system planning target in combination with a load prediction condition of a target year; 2) constructing a plurality of sub-capacity market platforms; 3) constructing a sub-market division decision model to which the power supply belongs; 4) solving the sub-market division decision model to which the power supply belongs, classifying the power supplies with different cost structures into corresponding sub-capacity market platforms, and determining the capacity demand of each sub-capacity market platform; 5) determining key boundary parameters of each sub-capacity market platform through a capacity market parameter optimization method considering a mechanism utility incentive target; and 6) feeding back the key boundary parameters of each sub-capacity market platform to each sub-capacity market platform, and constructing a hierarchical capacity market of coordination mechanism utility excitation and user payment. According to the invention, the market riding phenomenon caused by the multi-element main body cost structure difference is effectively improved.

The invention relates to the technical field of electric power markets and electric power system operation management, in particular to a capacity market adaptability evaluation method which is based on operation characteristics and requirements of a capacity market in an electric power system and combines a multi-dimensional evaluation theory. By constructing a comprehensive index system including four dimensions of technicality, economy, environmental property and sociality, quantitative evaluation of capacity resource adaptability is realized. The method adopts a data acquisition and normalization technology, carries out modeling on key indexes such as capacity adequacy, adjustment flexibility, carbon emission intensity, market price fluctuation sensitivity and the like, combines a weight analysis and comprehensive evaluation model, scientifically calculates the adaptability level of various resources, supports planning, optimization and policy making of a capacity market, and improves the capacity market quality. The market operation efficiency and the rationality of resource allocation are improved, the defects of a traditional power market in the aspects of data processing and evaluation index construction are overcome, and a theoretical basis and decision support are provided for long-term stable operation of a power system.

The invention discloses a partition capacity market clearing system considering novel resource participation. The system comprises a declaration module used for receiving and verifying capacity quotation data submitted by various market subjects which complete information registration in a capacity market; the trusted capacity calculation module is used for calculating the trusted capacity of different types of resources and calculating the trusted capacity of each partition based on the trusted capacity; the partition capacity demand calculation module is used for calculating the effective capacity demand of each partition in the future delivery year after the uncertainty of the new energy is considered based on the reliability evaluation result; the capacity adequacy evaluation module is used for evaluating the power generation capacity adequacy of the system according to the credible capacity and the capacity demand of the system; the reliability capacity clearing module is used for executing joint optimization clearing; the clearing result management module is used for outputting bid winning results and generating differentiated partition capacity clearing prices and duration premium signals; according to the invention, the toughness of an electric power system to deal with extreme conditions is improved.

The invention discloses a staged power generation resource credible capacity evaluation method and device, and belongs to the field of power market capacity market mechanism design. Aiming at the problem of insufficient precision caused by neglecting system state time-varying characteristics in long-time scale evaluation in the existing method, a penalty type segmented dynamic planning model is established to perform optimal stage division on the whole year by constructing a multi-dimensional daily characteristic sequence reflecting system net load and renewable energy output, so that the system characteristics in the stages are highly consistent; then, a staged marginal effective load capacity evaluation model is constructed based on the division scheme, and unit operation and energy storage constraints are depicted finely; and finally, determining the reliable contribution proportion by comparing the improvement degrees of the introduced ideal resources and target resources on the system energy shortage. According to the method, the accuracy of credible capacity evaluation is improved, and support is provided for scientific planning and resource adequacy analysis of a high-proportion new energy power system.

The invention belongs to the field of electric power systems, and discloses an operation effect evaluation method and system based on an electric power capacity market evaluation index, and the method comprises the steps: obtaining the operation data of an electric power capacity market, and calculating the capacity market evaluation index based on the operation data; subjective weighting is carried out on the capacity market index, and the subjective weight of the evaluation index is calculated; carrying out objective evaluation on the capacity market indexes, and determining objective weights of the evaluation indexes; and based on the subjective weight and the objective weight of the evaluation index, carrying out capacity market operation effect comprehensive evaluation. According to the method, capacity market multi-dimensional evaluation indexes are comprehensively provided, the comprehensive evaluation method is suitable for provinces which have developed power spot market transactions in China, an evaluation method can be provided for capacity market mechanism design verification and operation effect analysis, and favorable reference is provided for promotion of capacity market landing construction.

The invention discloses an incomplete rational power generator behavior modeling method under capacity-energy market collaborative operation, and the method comprises the steps: 1), building a unit irrational quotation behavior model based on a foreground theory in behavioral economics; 2) constructing a capacity market and energy market simulation clearing model; and 3) embedding the unit irrational quotation behavior model into the capacity market and energy market simulation clearing model, and establishing a unit energy market quotation decision model considering the capacity market income influence. According to the method, a foreground theory in behavioral economics is introduced, unit irrational decision perception is embedded into a quotation decision model, a unit energy market quotation decision model considering the capacity market income influence is established, unit quotation behavior modeling considering the capacity-energy coupling influence is realized, and the unit quotation behavior modeling efficiency is improved. And the earnings of power generators in the capacity market and the energy market can be effectively improved.

The invention relates to the technical field of electric digital data calculation, in particular to a system capacity credibility evaluation method and device considering source-load relevance, and the method comprises the steps: constructing a source-load scene set for credible capacity evaluation; based on the source-load scene set, according to the operation characteristics of the at least one power generation resource, constructing a credible capacity evaluation model based on the effective load bearing capacity; and solving the credible capacity evaluation model by using a preset security constraint unit combination sequence to obtain a market equalization result of the credible capacity evaluation model, and calculating the credible capacity of the at least one power generation resource according to the market equalization result. Therefore, the problems that the accuracy and applicability of capacity market decision making are affected due to the fact that typical day or set distribution is usually adopted to replace annual weather and load data in related technologies, supply and demand correlation under extreme weather is ignored, and a power structure and regional characteristics are not fully considered are solved.

The invention discloses a capacity market demand curve evaluation method and system based on Monte Carlo simulation. Uncertain influence factors are fully considered, and the historical annual return rate of the reference unit is calculated more accurately by using a peak load prediction model and a return rate function model. And by utilizing a return rate function model, comprehensively considering a delivery year prediction peak load, a system reserve margin and other related factors, and accurately calculating the delivery year return rate of the reference unit. A risk utility function is constructed based on a historical year reference unit return rate and a reference unit delivery annual return rate, and risk characteristics reflected by historical data and uncertainty of future prediction data are fully utilized. Through analysis of historical data, the risk bearing capacity and the income expectation of a power generation subject under different market conditions are known, and a risk utility function which better conforms to the actual situation is constructed in combination with prediction data. And finally, calculating an evaluation index of the demand curve to realize adjustment of operating parameters of the power system.

A method, device, and system for clearing transactions in a medium- to long-term electricity-capacity coupled market are disclosed. The method involves collecting electricity, capacity, and price data, and constructing a medium- to long-term electricity-capacity coupled market operation mechanism on an annual timescale. This mechanism includes early market opening and centralized bidding, capacity and electricity delivery, and capacity cost allocation. An objective function for the clearing optimization problem of the medium- to long-term electricity-capacity coupled market operation mechanism is constructed by minimizing the difference between generation-side costs and consumption-side utility, i.e., maximizing social welfare as the optimization objective. Constraints are established based on the objective function to ensure the balance of power system energy supply and demand and the adequacy of system capacity during peak load periods. The clearing optimization problem is solved based on these constraints to obtain the coupled clearing results of the medium- to long-term electricity market and capacity market, as well as a resource scheduling scheme.

The present invention is applicable to the technical field of capacity market pricing. Provided are a multi-energy capacity market pricing method and system taking power generation capacity adequacy into consideration. The method comprises: constructing a first model with the objective of maximizing the revenue of power generation companies in a capacity market involved in power generation types of thermal power generation, wind power generation, photovoltaic power generation, hydropower and large-scale energy storage power stations; determining active power output constraints, total capacity constraints and power transmission line constraints of thermal power units, wind farms, photovoltaic power stations, hydropower units and energy storage power stations; constructing a second model with the objective of maximizing the difference between the consumer surplus and the cost of the power generation companies in a day-ahead spot trading market; determining a generator unit power constraint and a consumer energy constraint; using an improved genetic algorithm to optimize and solve the first model; and on the basis of a dynamic programming method based on a duality theory, optimizing and solving the second model, so as to obtain a clearing price corresponding to an active power capacity of the power generation companies. Therefore, the effective operation of a power market is improved.

The invention discloses a credible capacity evaluation method and system for new energy and stored energy participating in a capacity market. The method comprises the steps of obtaining power data of a power generation system; based on the obtained different time and space power data, evaluating the effective capacity contribution of the new energy and the stored energy by constructing a model matched with the data scale; combining different-scale comprehensive capacities and market prices of the new energy and the stored energy to construct a capacity income optimization model and a game model, and forming a dynamic switching optimization strategy based on model output; and generating a real-time scheduling plan for dynamic adjustment based on an optimization strategy result. According to the method, the credibility of capacity evaluation is improved through a dynamic multi-dimensional evaluation method in combination with a time-space multi-level architecture; by constructing a capacity market income optimization model and combining a game theory market bidding strategy, the income of the new energy and energy storage complex is maximized, the capacity supply risk caused by equipment degradation or aging is reduced, and a guarantee is provided for stable operation of a power system.

The invention discloses a power generation investment planning method considering coupling of a capacity market and an electric energy market, and relates to the technical field of power generation investment planning. The flexibility and elasticity requirements of the power system are defined as three transaction products of gradeability, inertia and accident recovery ability, and the flexibility and elasticity are brought into the capacity market; coupling of the capacity market and the electric energy market is realized through variable coupling during modeling of the capacity market and the electric energy market; and based on the game theory, solving the investment planning and quotation strategy of the power generation company through the equilibrium model. The method is very suitable for performing system power generation planning guidance on a province which has a high new energy occupation ratio and is subjected to power market operation.

The application discloses a power source structure evolution simulation method, device and system for a capacity-energy market, comprising the following steps: taking a target year as a cycle termination condition, cyclically executing a power source structure evolution evaluation and analysis step, and obtaining a power system power source structure evolution evaluation and analysis result; specifically, obtaining energy market clearing quantity and clearing price based on market data of a current year; obtaining initial capacity investment decisions of power generation enterprises based on the energy market clearing quantity and the clearing price; obtaining capacity market clearing quantity and clearing price based on the initial capacity investment decisions of the power generation enterprises; obtaining final capacity investment decisions of the power generation enterprises based on the capacity market clearing quantity and the clearing price; and obtaining a power source structure evolution condition of the current year and market data of the next year according to the final capacity investment decisions of the power generation enterprises. The application can effectively improve the accuracy of power source structure evolution analysis under a power market environment, and can assist long-term power source planning and capacity market mechanism design.