Multi-Objective Operation of Cascade Hydropower Reservoirs Using TOPSIS and Gravitational Search Algorithm with Opposition Learning and Mutation

In this research, a novel enhanced gravitational search algorithm (EGSA) is proposed to resolve the multi-objective optimization model, considering the power generation of a hydropower enterprise and the peak operation requirement of a power system. In the proposed method, the standard gravity searc...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Zhong-kai Feng, Shuai Liu, Wen-jing Niu, Zhi-qiang Jiang, Bin Luo, Shu-min Miao
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2019-09-01
Sarja:Water
Aiheet:
cascade hydropower reservoirs
multi-objective optimization
topsis
gravitational search algorithm
opposition learning
partial mutation
elastic-ball modification
Linkit:https://www.mdpi.com/2073-4441/11/10/2040
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