Enhanced Bat Algorithm for Solving Non-Convex Economic Dispatch Problem

被引：2

作者：

Hussain, Kashif ^{[1
]}

Zhu, William ^{[1
]}

Salleh, Mohd Najib Mohd ^{[2
]}

Ali, Haseeb ^{[2
]}

Talpur, Noreen ^{[3
]}

Naseem, Rashid ^{[4
]}

Ahmad, Arshad ^{[5
]}

Ullah, Ayaz ^{[5
]}

机构：

[1] Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu, Sichuan, Peoples R China

[2] Univ Tun Hussein Onn Malaysia, Fac Comp Sci & Informat Technol, Batu Pahat, Malaysia

[3] Univ Teknol Petronas, Fac Sci & Informat Technol, Seri Iskandar, Perak, Malaysia

[4] City Univ Sci & Informat Technol, Dept Comp Sci, Peshawar, Pakistan

[5] Univ Swabi, Dept Comp Sci, Swabi, Pakistan

来源：

RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING (SCDM 2020) | 2020年 / 978卷

基金：

中国国家自然科学基金;

关键词：

Bat algorithm; Economic dispatch; Power generation dispatch; Optimization; Non-convex;

D O I：

10.1007/978-3-030-36056-6_39

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Bat algorithm lags behind other modern metaheuristic algorithms in terms of search efficiency, due to premature convergence. Once trapped in any sub-optimal region, the algorithm is unable to escape because of deficiency in population diversity. To address this, an enhanced Bat Algorithm (EBA) is introduced in this paper. The EBA algorithm comes with adaptive exploration and exploitation capability, as well as, additional population diversity. This enables EBA improve its convergence ability to find even better solutions towards the end of search process, where standard BA is often trapped. To illustrate effectiveness of the proposed method, EBA is applied on non-linear, non-convex economic dispatch problem with a power generation system comprising of twenty thermal units. The experimental results suggest that EBA not only saved power generation cost but also reduced transmission losses, more efficiently as compared to original BA and other methods reported in literature. The EBA algorithm also showed enhanced convergence ability than BA towards the end of iterations.

引用

页码：419 / 428

页数：10

共 29 条

[1] What metaheuristic solves the economic dispatch faster? A comparative case study [J].