Power Market Integrative Simulation And Analysis Based On Game Experiment

The electricity market reform is a worldwide issue. Practical experience shows thatelectricity market construction is a repeated development process of research, practice,evaluation and improvement. During China’ electricity market reform, the power industryencountered a series of complex theoretical and practical issues, which reflect that the currentcomprehensive study and practice of the electricity market structure, trading mechanismdesign and electricity transmission services is still immature. Under the current circumstances,there are certain risks for China to carry out integrative practice of the electricity market.Therefore, a comprehensive study and design of the electricity market with high efficiencyand low risk based on the actual conditions of the power industry are of great significance.Electricity market simulation is a research method and technology which is presented byforeignal scholars in recent year. This method and technology allows the researchers to verifythe market programs, discover potential problems, offer training support, analyze and evaluatethe power market through well-controalled environment which avoids the complexity ofactual market. This paper aims to design and develop a set of electricity market simulationsystem combining experimental economics and agent-based computational economics method,soft switch market model, which can be used in wide area networks, and discuss the relatedproblems such as the system architecture, game experiment model, game experiment designand market clearing method. The main research contents can be summarized as follows:1. Basing on summary of the contents, similarities and differences, advantages anddisadvantages of the representative experiment methods at home and abroad, and thesimulation platform method and technical features, this paper presents an electricity marketsimulation system combining experimental economics and ACE method, soft switch marketmodel, which can be used in wide area networks. Firstly, this paper analyzes the feasibility ofthe electricity market simulation system from the three angles of technology trends, technicaldifficulties and demand analysis. Secondly, this paper illustrates the design of key architecturecontents of simulation system: logical model and its role，database，functions, simulationprocess. The feasibility and software architecture design of this system will be discussed indetails in this paper. The proposed simulation system can be used in the actual transaction as a fundamental objective, and bring important innovation in the simulative behavior game,machine game, multi-market model and the cross-network transactions.2. Discuss the problem of simulation experimental design with the analog systemconstructed in this paper. Firstly, the paper builds simulation market model; Secondly, wedesign①experimental economics game,②machine game based on Agent ComputationalEconomics,③experiment processes combining the experimental economics and parallelgame based on Agent Computational Economics Game Theory; Finally, this paper conductedsimulation experiment studies on the system using the electricity market data of one region inChina. Simulation results showed that the process and results of the experimental economicsgame and computer game simulation based on agent computational economics (ACE) arecomparable. The simulation process of these two methods is the same. The participantdecision-making behavior under experimental economics game environment is very complexwhich does not meet the simple rational assumption of economic theory. The twoexperimental methods have certain mutual reference: a comparative study of the twoexperimental methods can demonstrates the credibility of ACE machine game simulation, andits function under more complex market model. Meanwhile, using the ACE machine game asa solution of system game equilibrium for power economic system, a highly non-linearsystem, can verify the conclusion of experimental economics game.3. Associated wind power integration is the new research subject for the currentelectricity market simulation experiment and the regional electricity market of China. Thispaper establishes an extreme scenario method based on the day-ahead market wind powerpredicted deviations, builds a unit combination model of thermal power, hydropower and gasgeneration with security constraints, adopts a mixed integer programming method to solve theproblem, uses the118node system account case for detailed analysis at the end, and verifiesthe extreme scenario method mentioned. The main conclusions are as follows: the extremescenario method is a simulation method with high adaptability, which can obtain the unitcombination schemes with good adaptability even under the circumstance of high wind farmpenetration; for study of larger-scale wind power, the selection of scenario needs furtherdiscussion; the integrate power system with thermal power, hydropower and gas generation ishighly adaptable to associated wind power farms. 4. Propose a real-time balancing market multi-time rolling dispatch strategy and modelof associated wind power integration combined with the day-ahead market unit Commitmentcombination to form a rolling dispatch method with the time scale of4hours. Adopts theinner point solutions to solve the problem, uses the118node system account case and oneprovincial power grid for detailed analysis at the end, and verifies the extreme scenariomethod mentioned and the feasibility of its dispatch strategy. The main conclusions are asfollows: compared with the day-ahead market scheduling, the prediction precision ofreal-time balancing market rolling schedulingis higher; the number of deviation scenario isless; the constraint condition is reduced; the economic efficiency of dispatch is improved; itverifies that the rolling dispatch method is more adaptable to wind power fluctuationcompared with conventional dispatch method. The conclusion is that the adaptability ofrolling dispatch method to the uncertainty of wind power is gained at the cost of economicefficiency.