Planning of distributed generation in distribution network based on improved particle swarm optimization algorithm

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Li, Jinze^1 ; Qu, Zhi^1 ; He, Xiaoyang^1 ; Jin, Xiaoming^1 ; Li, Tie^1 ; Wang, Mingkai^1 ; Han, Qiu^1 ; Gao, Ziji^1 ; Jiang, Feng^1

State Grid Liaoning Electric Power Supply Co. Ltd., Shenyang

110006, China^1

关键词: Distributed generation planning;    Distributed power;    Distribution systems;    Economic performance;    Environmental pressures;    Improved particle swarm optimization algorithms;    Learning factor;    Rational planning;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/4/042008/pdf
DOI  :  10.1088/1755-1315/121/4/042008

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Large-scale access of distributed power can improve the current environmental pressure, at the same time, increasing the complexity and uncertainty of overall distribution system. Rational planning of distributed power can effectively improve the system voltage level. To this point, the specific impact on distribution network power quality caused by the access of typical distributed power was analyzed and from the point of improving the learning factor and the inertia weight, an improved particle swarm optimization algorithm (IPSO) was proposed which could solve distributed generation planning for distribution network to improve the local and global search performance of the algorithm. Results show that the proposed method can well reduce the system network loss and improve the economic performance of system operation with distributed generation.