The operating conditions in electricity distribution networks become more complex, as the changes in consumption patterns and the extension of retail electricity markets change the traditional demand patterns. As the ...
详细信息
ISBN:
(纸本)9781728116242
The operating conditions in electricity distribution networks become more complex, as the changes in consumption patterns and the extension of retail electricity markets change the traditional demand patterns. As the industrial platforms near cities reduce their activity and the number of residential customers grows, there is an increasing need for voltage compensation and loss management in highly loaded MV and LV distribution networks supplying large residential communities. VAR compensation using capacitor banks remains a cost-effective solution for this problem. This paper presents an improved method for loss reduction in MV distribution networks, using an optimal placement of capacitor banks, with a recently proposed metaheuristic, the sperm whale algorithm (SWA).
A new optimization algorithm called sperm whale algorithm (SWA) is proposed to solve production optimization problems. This algorithm is based on the spermwhale's lifestyle. Like other population based algorithms...
详细信息
A new optimization algorithm called sperm whale algorithm (SWA) is proposed to solve production optimization problems. This algorithm is based on the spermwhale's lifestyle. Like other population based algorithms, SWA uses a population of solutions to find the optimum answer. One of the advantages of this method over others is that it uses two contradictory types of answers: it uses the worst and the best answers to reach the optimum point. The SWA algorithm was tested on 26 benchmarks and three benchmarks in several dimensions and one production optimization problem. The results and comparison of its performance with other algorithms show that SWA's performance is superior to other algorithms and it could be confidently used in optimization tasks. (C) 2016 Elsevier B.V. All rights reserved.
暂无评论