Coordinated Design of Joint Operating and Trading Mechanism of Diverse Community Energy Systems and Shared Energy Storage

For the current research of game theory in shared energy storage technology needs to be further explored, and the application of intelligent solution algorithms still needs to be further explored. A joint operating and trading mechanism of diverse community energy systems and shared energy storage was proposed. Firstly, diverse community energy systems (CESs) and shared energy storage (SES) joint operating and trading framework was constructed. Secondly, operation and transaction models were constructed for the main participants, i.e. CESs and SES. On this basis, the multi-agent Stackelberg game relationship was analyzed in detail. The optimization framework of deep reinforcement learning algorithm based on actor-critic framework and Deep Deterministic Policy Gradient algorithm was proposed to improve the accuracy of model solving. The effectiveness and applicability of the proposed theoretical method in reducing operation cost and promoting local clean energy consumption were verified by the practical simulation cases.