计及分布式电源的电能质量监测点优化配置

Optimize Allocation of Power Quality Monitoring Sites with Distributed Generators

为实现智能配电网对电能质量(PQ)进行全面监测和扰动事件智能诊断,并考虑系统成本优化和分布式电源影响,分析了现有监测点配置方法存在的三个缺陷,提出需要同时考虑节点电压凹陷域和电流信息全网可观测的优化思路。改进了二进制粒子群优化算法(BPSO)的模型和步骤,并构建评价函数,提出一种基于改进粒子群优化的电能质量监测点配置的算法。通过改进的BPSO迭代,智能地布置监测点,实现了系统性能和经济成本的最优化。最后,在四种不同结构的配电网络中进行仿真应用。结果表明,该算法能有效地实现PQ监测点优化配置,以较低的成本实现了配电网的全面监测并满足扰动事件智能诊断和精确定位的需求,且算法具有较好的收敛性和适用性。

In order to comprehensively achieve monitoring and diagnosis of the power qualitydisturbance events in the smart grid as well as consider the optimization of system costs and theinterconnection of distributed generators,this paper analyzes the deficiencies of the existing optimalallocation methods for the power quality(PQ)monitors.The model and steps of the binary particleswarm optimization(BPSO)are improved,and a new evaluation function is constructed.Consideringthe entirely observable network in the domain of the node voltage sag and the completeness of thecurrent information,a novel allocation method based on improved particle swarm optimization isproposed.The improved BPSO is used to iterate the optimal allocation of PQ monitoring sites.Thus thesystem optimization between the performance and the costs is achieved.Finally,the simulations arecarried out using four kinds of distribution networks.The results show that,with fast convergence andgood applicability,the proposed algorithm can effectively achieve the diagnosis and optimal allocationof the PQ monitoring sites at a low cost.