气候变化领域集成服务门户(CCPortal): Combined emission economic dispatch using quantum-inspired particle swarm optimization and its variants

CCPortal

DOI	10.1177/01445987241235419
	Combined emission economic dispatch using quantum-inspired particle swarm optimization and its variants
	Asif, Muhammad; Amin, Adil; Jamil, Umar; Mahmood, Anzar; Ahmed, Ubaid; Razzaq, Sohail; Mahdi, Fahad Parvez
发表日期	2024
ISSN	0144-5987
EISSN	2048-4054
英文摘要	The ever-increasing electricity demand, its dependency on fossil fuels, and the consequent environmental degradation are major concerns of this era. The worldwide domination of fossil fuels in bulk electricity generation is rapidly increasing the emissions of CO 2 and other environmentally dangerous gases that are contributing to climate change. The economic and emission dispatch are two important problems in thermal power generation whose combination produces a complex highly constrained nonlinear optimization problem known as combined economic and emission dispatch. The optimization of combined economic and emission dispatch aims to allocate the generation of committed units to minimize fuel cost and emissions, simultaneously while honoring all equality and inequality constraints. Therefore, in this article, we investigate a solution of the combined economic and emission dispatch problem using quantum particle swarm optimization and its two modified versions, that is, enhanced quantum particle swarm optimization and quantum particle swarm optimization integrated with weighted mean personal best and adaptive local attractor. The enhanced quantum particle swarm optimization algorithm achieves particles' diversification at early stages and shows good performance in local search at later stages. The quantum particle swarm optimization integrated with weighted mean personal best and adaptive local attractor boosts search performance of quantum particle swarm optimization and attains better global optimality. The suggested methods are employed to achieve solution for the combined economic and emission dispatch in four distinct systems, encompassing two scenarios with 6 units each, one with a 10-unit configuration, and another with an 11-unit setup. A comparative analysis with methodologies documented in existing literature reveals that the proposed approach outperforms others, demonstrating superior computational performance and robust efficiency.
英文关键词	Combined economic and emission dispatch; economic dispatch; quantum particle swarm optimization; quantum particle swarm optimization integrated with weighted mean personal best and adaptive local attractor; enhanced quantum particle swarm optimization
语种	英语
WOS研究方向	Energy & Fuels
WOS类目	Energy & Fuels
WOS记录号	WOS:001187827100001
来源期刊	ENERGY EXPLORATION & EXPLOITATION
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/302023
作者单位	University of Texas System; University of Texas at San Antonio (UTSA); University of Hyogo
推荐引用方式 GB/T 7714	Asif, Muhammad,Amin, Adil,Jamil, Umar,et al. Combined emission economic dispatch using quantum-inspired particle swarm optimization and its variants[J],2024.
APA	Asif, Muhammad.,Amin, Adil.,Jamil, Umar.,Mahmood, Anzar.,Ahmed, Ubaid.,...&Mahdi, Fahad Parvez.(2024).Combined emission economic dispatch using quantum-inspired particle swarm optimization and its variants.ENERGY EXPLORATION & EXPLOITATION.
MLA	Asif, Muhammad,et al."Combined emission economic dispatch using quantum-inspired particle swarm optimization and its variants".ENERGY EXPLORATION & EXPLOITATION (2024).