Under the dual-carbon goals and the advancement of power market reform

government carbon regulation policies play a crucial role in guiding the structural transformation of power generation and ensuring the stability of power market operations. However

there is a lack of quantitative analysis models and simulation methodologies in this area. This study employs an evolutionary game algorithm to analyze the bidding strategy choices of power generation clusters under different government carbon regulation scenarios. Additionally

system dynamics and dissipative structure theory investigate power market operational trends. Based on the carbon emission characteristics of power generation equipment

power generation enterprises are categorized into low-carbon clusters (low-carbon coal-fired power generation enterprises) and traditional clusters. A tripartite evolutionary game model involving low-carbon clusters

traditional clusters

and government entities is established

considering factors such as fuel costs

bidding strategies

and carbon emission quotas. Key market operation indicators are defined based on the strategic choices of each entity

and system dynamics simulations are conducted to analyze their variations. Furthermore

dissipative structure theory is employed to assess the overall market operation trends. The case study is based on a simulation using data from a provincial electricity market. The results demonstrate that during the initial phase of carbon regulation policy implementation

the government

by increasing subsidies and strengthening regulatory measures to guide traditional clusters in upgrading and retrofitting

can not only effectively enhance the power supply efficiency and capacity of the electricity market but also reduce the overall operational entropy of the market

thereby promoting stable and balanced market operations. The proposed model and methodology can effectively analyze the operational dynamics of the electricity market

providing forward-looking and practical decision-making support for the long-term stable and efficient operation of the electricity market.