计及分布式电源的电能质量监测点优化配置

发布时间：2018-06-26 12:01

本文选题：电能质量 + 监测点　；参考：《电工技术学报》2017年13期

【摘要】：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。
[Abstract]:In order to realize the comprehensive monitoring of power quality (PQ) and intelligent diagnosis of disturbance events in smart distribution network, considering the optimization of system cost and the influence of distributed power supply, three defects of the existing monitoring point configuration methods are analyzed. The optimal idea of considering the node voltage sag and the observability of the whole network of current information is put forward. The model and steps of binary particle swarm optimization (BPSO) are improved, and the evaluation function is constructed. A power quality monitoring point allocation algorithm based on improved particle swarm optimization is proposed. Through the improved BPSO iteration, the monitoring points are intelligently arranged and the system performance and economic cost are optimized. Finally, the simulation is carried out in four distribution networks with different structures. The results show that the algorithm can effectively realize the PQ monitoring point optimal configuration, realize the overall monitoring of distribution network at a lower cost and meet the needs of intelligent diagnosis and accurate location of disturbance events, and the algorithm has good convergence and applicability.
【作者单位】：浙江工业大学信息工程学院;
【基金】：国家自然科学基金(51207139,51407160) 浙江省自然科学基金(LY17E070005) 浙江工业大学创新性实验项目(ZJ201619)资助
【分类号】：TM711;TM930

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