Method for Solving an Optimal Bidding Strategy

This application belongs to the technical field of market transactions, and particularly relates to a method for solving an optimal bidding strategy. The traditional evolutionary game method is difficult to obtain a stable evolutionary equilibrium solution when facing the uncertainty of opponent's decision-making. This application provides a method for solving an optimal bidding strategy, which provides an optimal bidding strategy for DR resources for users participating in demand-side bidding to solve the problem, and establishes user participation DR benefit model based on a consumer demand curve. The goal orientation of users participating in the market comprehensively considered, an evolutionary game model based on the bounded rationality of the game subject is proposed; 2) Considering the incompleteness of market information and the uncertainty of the subject' decision-making, the evolution of the bounded rationality of the game subject is established to solve the problem based on the game model, an optimal bidding strategy learning algorithm based on Q learning and compound differential evolution is proposed. An evolutionary game model based on users' bounded rationality is established to help users formulate optimal DR bidding strategies. Energy consumption without DR Inelastic loads Elastic loads 'Shiift-out loads~educed loads' Energy consumption with DR Total load reduction Figure 1 Energy consumption without Inelastic loads Elastic loads' Shi 7.ads Energy consumption with DR Figure 2 With DR Without DR g3V - - - IL pnon pdm Figure 3 With DR Without DR Lpnongv, pdm Figure 4