An Improved Brain Storm Optimization for a Hybrid Renewable Energy System

In this paper, an improved brain storm optimization (BSO) algorithm is proposed to solve the optimization problem in a hybrid renewable energy system. The objective of the proposed algorithm is the minimization of the annualized costs of the system (ACS), the loss of power supply probability (LPSP),...

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Egile Nagusiak:	Xing-Rui Chen, Jun-Qing Li, Yuyan Han, Ben Niu, Lili Liu, Biao Zhang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2019-01-01
Saila:	IEEE Access
Gaiak:	Brain storm optimization city block distance K-Means method hybrid renewable energy system
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/8676318/
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