基于MADDPG和智能合约的微电网交易决策优化

为解决微电网在传统集中化交易模式下面临的决策耗时长、信任成本高和隐私安全等问题,提出了基于多智能体深度确定性策略梯度(multi-agent deep deterministic policy gradient, MADDPG)算法与智能合约的微电网去中心化市场交易体系。首先,对微电网市场中多智能体进行划分后设计了适用于各主体参与分布式交易的微电网去中心化交易机制,以保障市场主体利益。其次,为实现交易确认阶段微电网市场主体的交易策略优化,采用MADDPG算法对各主体追求利益最大的竞价模型进行求解。最后,通过算例仿真验证了MADDPG算法在智能合约下微电网市场主体交易策略优化过程中的可行性和经济性。

Optimization of Microgrid Trading Strategy Based on MADDPG and Smart Contracts

In order to solve the problems of long decision-making time, high cost of trust and privacy security faced by microgrid in the traditional centralized trading, a decentralized market trading system based on multi-agent deep deterministic policy gradient (MADDPG) algorithm and smart contract is proposed for microgrid. Firstly, after dividing the multiple agents in the microgrid market, a decentralized transaction mechanism for microgrids that is suitable for all entities to participate in distributed transactions is designed to protect the interests of market entities. Secondly, in order to realize the optimization of the transaction strategy of the microgrid market entities in the transaction confirmation stage, the multi-agent deep deterministic policy gradient algorithm is used to solve the bidding model that each entity pursues the most benefits. Finally, the feasibility and economy of the MADDPG algorithm in the optimization process of the transaction strategy of the microgrid market entities under the smart contract is verified by example simulation.