A Modeling Method for Power Market Decision Analysis

Abstract

The patent of the present invention discloses a modeling method for power market decision analysis, including an information interactor for collecting power market information and output information, and a strategy for analyzing power market information and various trading and investment strategies of power market entities. Generator, power market decision analyzer for analyzing the pros and cons of commodity trading strategies of power market entities, operation information storage for storing various data of power market decision, scheduling and operation operation evaluator, and multi-intelligent agent user behavior The multi-intelligent agent user behavior generator cooperates with the transaction and investment strategy generator, the power market decision analyzer, and the scheduling and operation operation evaluator to realize the multi-intelligent agent user behavior generator to generate many user behavior set responses. Real market members, and make decision analysis on electricity market information.

Description

technical field [0001] The patent of the present invention relates to the field of power market analysis and research, and more specifically, relates to a modeling method for power market decision analysis. Background technique [0002] At present, there are power market simulation software and simulation platforms at home and abroad, which can assist the decision-making of the power market and evaluate the pros and cons of market rules to a certain extent, but they do not have the ability to comprehensively analyze the decision-making analysis of various commodities of each subject, and the analysis results are often inconsistent. Inaccurate. Moreover, the currently formed power market software and platforms do not have a complete function of simulating the behavior of market members. The formulation of strategies and the analysis of decision-making are only derived through rigorous mathematics, without considering the differentiated behavior of market players and random fa...

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Problems solved by technology

[0002] At present, there are power market simulation software and simulation platforms at home and abroad, which can assist the decision-making of the power market and evaluate the pros and cons of market rules to a certain extent, but they do not have the ability to comprehensively analyze the decision-making analysis of various commodities of each subject, and the analysis results are often inconsistent. inaccurate

Moreover, the currently formed power market software and platforms do not have a complete function of simulating the behavior of market members. The formulation of strategies and the analysis of decision-making are only derived through rigorous mathematics, without considering the differentiated behavior of market players and random factors. Factors such as impulsiveness are not fully considered in the generation of decision-making, and the results often cannot truly bring positive effects to the maximization of the income of various market players and the revision of rules.

Existing power market decision generation, analysis, and evaluation software usually rely on its own power market simulation software. Embedded decision analysis software cannot combine the advantages of each software, and often the optimization results given are only for a specific situation. However, The behavior of the market is ever-changing, and it is necessary to have a dedicated strategy generation and analysis modeling method independent of each power market simulation software, which integrates the strengths of various software, and provides decision-making and optimization solutions through more credible market member simulations

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