Bi-level Multi-agents Interactive Decision-making Model in Regional Integrated Energy System

Abstract

In view of the high coupling characteristics between supply and demand sides in regional integrated energy system (RIES), a bi-level interactive decision-making model with multiple agents is proposed. A RIES market with multiple micro integrated energy grid investors and integrated energy customer aggregator is constructed. To study the operation of regional integrated energy market, a multi-agent interactive decision-making model is established, and a bi-level optimization algorithm is used to solve the equilibrium of the model. In the external level, multiple market players participate in non-cooperative game in order to maximize their own profits, reinforcement learning algorithm is adopted to search the optimal bidding strategies. In the internal level, RIES operator clears the market under the constraints of safe and stable operation in RIES, Aiming at maximizing the social welfare in RIES, the interior point method is applied to optimize the clearing results. Finally, a simulation example is given to study the non-cooperative dynamic game process of the proposed model in RIES market.