Optimal placement of capacito

Ain Shams Engineering Journal

卷:7

S. Chandramohan¹  N. Gnanasekaran²  P. Sathish Kumar³  A. Mohamed Imran⁴ 

[1] Department of Electrical and Electronics Engineering, Anna University, Chennai 600025, India;

[2] Department of Electrical and Electronics Engineering, Misrimal Navajee Munoth Jain Engineering College, Chennai 600097, India;

[3] Embedded Technology Solutions, Chennai 600100, India;

[4] School of Electrical Engineering, VIT University, Chennai Campus, Chennai 600127, India;

关键词: Distribution system;    Energy loss;    Capacitor placement;    Shark smell optimization algorithm;   

DOI  :  10.1016/j.asej.2016.01.006

来源: DOAJ

【 摘 要 】

Optimal size and location of shunt capacitors in the distribution system plays a significant role in minimizing the energy loss and the cost of reactive power compensation. This paper presents a new efficient technique to find optimal size and location of shunt capacitors with the objective of minimizing cost due to energy loss and reactive power compensation of distribution system. A new Shark Smell Optimization (SSO) algorithm is proposed to solve the optimal capacitor placement problem satisfying the operating constraints. The SSO algorithm is a recently developed metaheuristic optimization algorithm conceptualized using the shark’s hunting ability. It uses a momentum incorporated gradient search and a rotational movement based local search for optimization. To demonstrate the applicability of proposed method, it is tested on IEEE 34-bus and 118-bus radial distribution systems. The simulation results obtained are compared with previous methods reported in the literature and found to be encouraging.

【 授权许可】

Unknown