摘要
针对配网中存在谐波畸变,且存在多种不确定因素的问题,在分布式电源(distributed generator,DG)优化配置模型中考虑了谐波畸变限值,并利用区间数表示不确定因素。DG优化模型以DG成本电价、网络损耗及电压稳定性为指标,并在满足配网潮流安全性约束的基础上增加谐波畸变限值的约束,建立多目标优化模型。最后利用基于区间TOPSIS(technique for order preference by similarity to ideal solution)算法定量分析不确定因素的影响,并与非劣排序遗传算法(nondominated sorting genetic algorithm,NSGA)相结合求出DG最优配置方案。算例验证表明该方法可有效降低谐波畸变率,实现DG发电效益和供电质量的综合最优。
To solve the harmonic distortion problem and multiple uncertainties existing in the distribution network, the optimal configuration method of the distributed generators （DGs） was employed, with harmonic distortion limits taken into account and uncertainties denoted by interval numbers. The cost of electricity, the network loss and the voltage stability were taken as the optimization indexes of the DG model, the harmonic distortion limit was added as a con- straint on the basis of meeting the security constraints of the distribution power flow, and then a multi - objective opti- mization model was established. Finally, the method of technique for order preference by similarity to ideal solution （TOPSIS） based on interval mathematics was used to analyze the influence of uncertainties quantitatively, and the combination of it with the nondominated sorting genetic algorithm （NSGA） was used to obtain the optimal configura- tion scheme of DG. The simulation results showed that this method could decrease the harmonic distortion rate effec- tively, and realize the integrated optimal performance of the generation power benefit and power quality.
出处
《电测与仪表》
北大核心
2014年第23期110-114,共5页
Electrical Measurement & Instrumentation
关键词
分布式电源
优化配置
谐波畸变
不确定性
区间分析
distributed generator （DG）, optimal configuration, harmonic distortion, uncertainty, interval analysis
