| Autor: |
N. Gnanasekaran, S. Chandramohan, P. Sathish Kumar, A. Mohamed Imran |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Ain Shams Engineering Journal, Vol 7, Iss 2, Pp 907-916 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2090-4479 |
| DOI: |
10.1016/j.asej.2016.01.006 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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