对等控制模式下孤立微电网分布式经济优化控制策略

Distributed Economic Optimization Control Strategy for Isolated Microgrids under Peer-to-Peer Control Mode

中文关键词:下垂控制  对等控制  边际成本  一致性算法

keywords:droop control  peer-to-peer control  marginal cost  consensus algorithm

中文摘要:传统的下垂控制依赖下垂系数来分配功率，致使微电网运行的经济性偏低。为实现微电网最优经济运行，在对等控制架构基础上，构建孤岛微电网分布式电源优化调控策略。依托多智能体系统共识算法，经由稀疏通信网络来调控邻域分布式电源间的信息交互，达成全局边际成本一致性，获取全局最优经济运行策略。依托仿真软件的孤岛微电网建模仿真，验证了所提控制策略的经济优化效能。

Abstract:Traditional droop control relies on droop coefficients for power allocation，leading to suboptimal economic performance of microgrid operation. To achieve the optimal economic operation of microgrids，a distributed economic optimization control strategy for distributed generators （DGs） in islanded microgrids is proposed based on a peer-to-peer control architecture. Leveraging the consensus algorithm of multi-agent systems，information exchange between neighboring DGs is regulated through a sparse communication network to achieve global marginal cost consistency and derive the globally optimal economic operation strategy. Modeling and simulation of the islanded microgrid are performed in simulation softwarek，which empirically validates the economic optimization performance of the proposed control strategy.