Distributed Optimal Resource Management Based on the Consensus Algorithm in a Microgrid
Distributed Optimal Resource Management Based on the Consensus Algorithm in a Microgrid
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DOI：
10.1109/tie.2014.2356171
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发表时间：
2015-04
影响因子：
7.7
通讯作者：
Yinliang Xu;Zhicheng Li
中科院分区：
文献类型：
--
作者：
Yinliang Xu;Zhicheng Li
微电网是一种很有前景的方法，它通过将各种分布式发电和储能系统集成到电力系统中，来提供清洁、可再生且可靠的电力。然而，高度间歇性的可再生能源发电和各种负荷需求给微电网中的最优资源管理带来了新的挑战。本文提出了一种基于一致性算法的完全分布式控制策略，用于孤岛微电网的最优资源管理。所提出的策略通过多智能体系统框架来实现，该框架仅需要相邻智能体之间通过本地网络进行信息交换。目标是通过一种两级控制策略来实现。上层控制级是一种基于一致性的优化算法，它在维持供需平衡的同时确定最优发电或需求的参考值。下层控制级负责相关组件的参考跟踪。文中给出了在IEEE 14节点和162节点系统中的仿真结果，以证明所提出的控制策略的有效性。
A microgrid is a promising approach to provide clean, renewable, and reliable electricity by integrating various distributed generations and energy storage systems into power systems. However, highly intermittent renewable generations and various load demands pose new challenges to the optimal resource management in a microgrid. This paper proposes a fully distributed control strategy based on the consensus algorithm for the optimal resource management in an islanded microgrid. The proposed strategy is implemented through a multiagent system framework, which only requires information exchange among neighboring agents through a local network. The objective is achieved through a two-level control strategy. The upper control level is a consensus-based optimization algorithm that discovers the reference of optimal power generation or demand while maintaining the supply-demand balance. The lower control level is responsible for reference tracking of the associated component. Simulation results in the IEEE 14- and 162-bus systems are presented to demonstrate the effectiveness of the proposed control strategy.