Optimal Operation and Price Decision of Multi-energy Park Based on Electro-thermal Demand Response

In the multi-energy system, the game between stakeholders aiming at maximizing their own interests will make the operation and transaction disorder while exerting a negative impact on the physical network. Assuming that energy service providers are energy retail price makers and implementers, this paper proposes a double-layer model to optimize the operation of energy equipment and price decision-making based on a certain park with a goal of maximizing the revenue of energy service providers and minimizing the cost of users at the same time. Lagrange Multiplier and KKT(Karush-Kuhn-Tucker conditions) methods are used to simplify the double-layer model equivalently, and the MINLP solver in GAMS is used to solve the problem. The results show that the rational operation mode can optimize the operation of energy hub in the park, improve the economic benefits of energy service providers and users and form a reasonable retail price decision-making mechanism which helps to verify the effectiveness of the proposed model.