虚拟发电厂分布式控制收敛速度分析及优化

Convergence Speed Analysis and Optimization for Distributed Control of Virtual Power Plant

虚拟发电厂(virtual power plant,VPP)技术与分布式控制技术结合,可有效控制数量大、单机容量小、位置分散的分布式电源(distributed generator,DG)。为提高分布式控制的收敛速度,利用谱半径指标对分布式发电控制中常用的离散一阶一致性算法的收敛性问题进行了分析,包括通信网拓扑、通信线路权重、领导节点位置、DG的发电成本函数以及被反馈的功率偏差系数等因素的影响。在此基础上,将离散一阶一致性算法收敛速度优化问题转化为特征值优化问题,从通信拓扑结构设计、通信线路权重优化、领导节点位置选择3个方面对通信网络(communication network,CN)进行优化,提出了提高虚拟发电厂分布式控制收敛速度的通信网络优化方法。算例仿真表明所提出的优化方法可有效提高一致性算法的收敛速度。

Combination of virtual power plant（VPP） technology with distributed control brings about an effective approach to manage large amount of small scale distributed generators（DGs）. In order to reduce iterations, spectral radius measurement is used to analyze convergence of consensus algorithm, revealing that convergence speed is affected by topology and edge weights of communication network（CN）, feedback coefficient, position of leader DG and cost functions of DGs. On this basis, convergence speed optimization is transformed into an eigenvalue optimization. Communication network optimization aiming at accelerating distributed control of VPP is proposed, including communication network topology design, edge weights optimization and leader DG selection. The optimization method is proved effective with simulation cases.