基于多智能体协同机制的电力调度系统分布式优化研究
Research on Distributed Optimization of Power Dispatch System Based on Multi-agent Collaborative Mechanism
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摘要: 为应对高比例新能源接入对电力系统调度的挑战,提出一种基于多智能体协同机制的电力调度系统分布式优化方法。以IEEE 30节点系统为研究对象,设计了"区域协调-单元自治"的分布式多智能体系统架构,并构建了基于一致性理论的协同优化模型,采用交替方向乘子法进行分布式求解。仿真结果表明,该方法在保证调度经济性的前提下,提升了求解效率与系统可扩展性。Abstract: To address the challenges posed by high penetration of renewable energy in power system dispatch, this paper proposes a distributed optimization method for power dispatch systems based on a multi-agent collaborative mechanism. Using the IEEE 30-bus system as the test case, a distributed multi-agent system architecture with "regional coordination and unit autonomy" is designed. A collaborative optimization model based on consensus theory is constructed and solved distributively using the alternating direction method of multipliers. Simulation results demonstrate that the proposed method improves solution efficiency and system scalability while ensuring economic performance in power dispatch.
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