An Optimal Decision Model for Inter-provincial Delivery of Multi-energy Complementary Bases Considering the Impact of Carbon Quota and Green Certificate Market

The construction of multi-energy complementary bases plays a vital role in promoting the consumption of clean energy and improving the stability of system operation. With the release of carbon quota policy and the development of green electricity and green certificate market, the operation efficiency of various power supplies has been affected by many factors, leading to an increasingly intricate power trading market. The determination of the optimal operation plan for multi-energy systems according to the internal and external environment of the market, presents a significant challenge in achieving maximum energy utilization efficiency and system benefits within a multi-energy complementary base. In view of the randomness and correlation of new energy, a new energy output scenario generation method is proposed based on Copula theory, and the actual output curve of new energy is thus obtained. In accordance with the policy requirements of carbon quota and green certificate market, an optimization model for inter-provincial export decision-making is established with the aim of maximizing both the output power of new energy and the utilization rate of output channel, while simultaneously minimizing the system energy consumption cost. NSGA-II algorithm is employed to solve this model. The example verification analysis demonstrates the capability of the proposed model in formulating a perfect optimization operation scheme for the multi-energy complementary bases, taking into account the uncertainty of new energy output and the influence of market policies and measures. This approach effectively elucidates the impact of market policies and measures on the operation efficiency of power generation enterprises, thereby offering a solid foundation for the power operation and regulatory authorities to formulate rules and guide the healthy,orderly development of the market.