引用本文: | 阮博,俞德华,李斯吾.基于一致性的微网分布式能量管理调度策略[J].电力系统保护与控制,2018,46(15):23-28.[点击复制] |
RUAN Bo,YU Dehua,LI Siwu.Consensus algorithm based distributed energy management strategy of microgrids[J].Power System Protection and Control,2018,46(15):23-28[点击复制] |
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摘要: |
基于多智能体一致性理论,设计了具有完全分布式特征的微网能量管理调度策略,以解决集中式控制方式通信压力大和无法满足即插即用要求的问题。以可控发电单元和储能单元运行成本最低为目标函数,结合微网功率平衡和发电单元出力的约束条件,建立了分布控制式微网最优经济调度模型。根据多智能体及一致性理论设计了微网的分布式能量管理调度算法,给出了该方法的具体实施步骤。通过在IEEE-14节点微电网系统中的仿真算例,验证了所提出调度策略的正确性和有效性。 |
关键词: 分布式电源 微电网 多智能体系统 一致性算法 能量管理 |
DOI:10.7667/PSPC170999 |
投稿时间:2017-07-06修订日期:2017-09-07 |
基金项目:国家电网公司科技项目资助(52182017000W) |
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Consensus algorithm based distributed energy management strategy of microgrids |
RUAN Bo,YU Dehua,LI Siwu |
(State Grid Hubei Electric Power Company Power Economic Technology Research Institute, Wuhan 430077, China;State Grid Hubei Electric Power Company, Wuhan 430077, China) |
Abstract: |
On the basis of the MAS consensus theory, this paper studies the distributed energy management scheduling strategy of the microgrid, aiming at solving the disadvantages of the central-controlled strategies such as high communication pressure and incapable of satisfying the requirement of plug and play. Taking the minimum cost of all controllable generators and the energy storage units as the objective function and combining the constraints of the microgrid power balance and generator outputs, the distributed-control optimal economic scheduling model of microgrids is established. According to the multi-agent system framework and consensus algorithm, this paper presents a distributed energy management algorithm for microgrids, and gives the concrete implementation steps of distributed energy management scheduling strategy of microgrids. Through the simulation of the IEEE-14 test system, the correctness and validity of the proposed scheduling strategy is verified. This work is supported by Science and Technology Project of State Grid Corporation of China (No. 52182017000W). |
Key words: distributed generation micro-grid multi agent system consensus algorithm energy management |