基于DESA算法且含风电接入的配网无功优化  

Reactive Power Optimization of Distribution Network with Wind Power Access Based on DESA Algorithm

作　　者：陈光宇 纪思 李干 黄良灿 CHEN Guangyu;JI Si;LI Gan;HUANG Liangcan(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China;Yunnan Power Grid Co.,Ltd.,Kunming 650011,China)

机构地区：[1]南京工程学院电力工程学院,江苏南京210003 [2]云南电网有限责任公司,云南昆明650011

出　　处：《电工技术》2019年第11期15-17,21,共4页Electric Engineering

基　　金：江苏省配电网智能技术与装备协同创新中心开放基金资助项目(编号XTCX201713)

摘　　要：针对配电网无功规划优化的非线性和约束复杂的特点,提出一种DESA混合进化算法进行求解。该算法将DE和SA算法各自的优势相融合,利用DE算法的全局优化特性在解空间探寻全局最优解,利用SA算法的局部最优逃逸能力实现对DE算法不足的补偿。采用IEEE33节点系统进行仿真分析,验证该方法的可行性和有效性。In view of the characteristics of non-linearity and complex constraints of reactive power planning optimization in distribution network,a DESA hybrid evolutionary algorithm is proposed to solve the problem.The algorithm combines the advantages of DE and SA algorithms.The global optimization feature of DE algorithm is used to find the global optimal solution in the solution space.The local optimal escape capability of SA algorithm is used to compensate the deficiency of DE algorithm.An example is ananlyzed by simulation of the IEEE 33-node system to verify the feasibility and effectiveness of the proposed method.

关 键 词：配电网 无功规划优化 DESA算法 场景分析 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]