计及分布式电源的电能质量监测点优化配置

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。

Optimize Allocation of Power Quality Monitoring Sites withDistributed Generators

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