Multi-Period Reactive Power Optimization of Distribution Network Considering the Output Characteristics of Distributed Generation

被引:0
作者
Liu, Lei [1 ]
Shu, Sihai [1 ]
Wang, Shuai [1 ]
Guo, Shuaishuai [2 ]
机构
[1] State Grid Qingdao Elect Power Supply Co, Qingdao 266002, Shandong, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Shandong, Peoples R China
来源
2019 6TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE 2019) | 2019年
关键词
distributed generation; multiperiod; output characteristics; reactive power optimization; multiple population genetic algorithm;
D O I
10.1109/ICISCE48695.2019.00161
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the gradually increase of the distributed generation (DG) in the distribution network, the impact of its output characteristics on the operation of the distribution network is gradually increasing. The distributed generation supply is usually formulated as a constant power model in the problem of reactive power optimization; However, as the injection power of DG varies with the nodal voltage, it is difficult to obtain the optimal solution in actual operation. A reactive power optimization method that considers the output characteristics of the distributed generation supply is proposed in the paper. Aiming at the problem that the genetic algorithm is easy to fall into the local optimal solution when solving the problem, the multiple population genetic algorithm is used to optimize the solution. Test results on the IEEE33 node distribution system verifies the effectiveness of the proposed method.
引用
收藏
页码:789 / 792
页数:4
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