Game optimisation strategies for electricity and heat integrated energy systems accounting for user demand response
This paper proposes a two-layer collaborative optimization model for demand responsive electric heating integrated energy systems based on evolutionary games because traditional centralized optimization methods struggle to reveal the interaction between multiple agents and the game relationship between integrated energy operators and users needs further exploration.The integrated energy system with electric heating gas is first modeled for interactive optimization.While the lower level user groups modify their energy consumption tactics and report them to the operators,the top level operators communicate energy sales prices to consumers.The operators respond to consumer comments and modify the cost of energy supply.Until a game equilibrium is established,each player tries to maximize their own interests.Finally,a two-layer collaborative optimization model-Ant Lion Optimization Algorithm and YALMIP+GUROBI Optimization Package-was used to solve in the MATLAB environment,showing that this operating strategy can enhance the social welfare of the comprehensive energy system.The analysis used an actual industrial park in China as the example.
integrated energy systemdemand responseevolutionary gamepricing strategyAnt Lion algorithm
万方数据
维普
