气候变化领域集成服务门户(CCPortal): Integrated energy system evaluation and optimization based on integrated evaluation model and time-series optimization

CCPortal

DOI	10.3233/JCM-247173
	Integrated energy system evaluation and optimization based on integrated evaluation model and time-series optimization
	Li, Lixin; Lv, Yan; Sun, Bo; Wang, Miao; Chen, Bin; Li, Zeke; Fan, Haiwei
发表日期	2024
ISSN	1472-7978
EISSN	1875-8983
起始页码	24
结束页码	1
卷号	24 期号:1
英文摘要	Against the backdrop of global attention to climate change and environmental sustainability, the development timing and comprehensive cost of regional renewable energy power generation projects have become a focus of attention. By constructing effective models to evaluate them, it can help promote the healthy development of renewable energy projects. The research aims to quantitatively evaluate the development status of local renewable energy projects by constructing a comprehensive evaluation model, minimize information loss, and improve the accuracy of evaluation results. This study adopted a comprehensive evaluation model that combines Analytic Hierarchy Process (AHP) based on accelerated genetic algorithm, entropy weight method, and ideal point method. Firstly, the subjective weights of the development evaluation indicators for regional renewable energy power generation projects are calculated. Secondly, the entropy weight method is used to analyze the trend of each indicator and obtain objective weights. Finally, combined with the objective weights and the evaluation results calculated using the TOPSIS method, a comprehensive evaluation of renewable energy power generation projects in various regions is conducted. Through analysis, the core indicators of the development level of renewable energy power generation projects in various regions show specific performance, such as Hebei's evaluation value of 0.4945 in the proportion of comprehensive energy development, and Inner Mongolia's evaluation value of 0.4045 in the proportion of comprehensive energy installed capacity. Meanwhile, genetic optimization methods exhibit significant advantages in the calculation of optimization schemes compared to dynamic programming methods, possessing strong global search capabilities and high-precision solutions. This study provides a new research method and approach for the evaluation of regional renewable energy power generation projects, demonstrating the practical value and certain advantages of the research method.
英文关键词	Integrated evaluation model; timing optimization; energy system; renewable energy; power generation projects; sustainable; AGA-AHP
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Multidisciplinary
WOS记录号	WOS:001208095000002
来源期刊	JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303218
作者单位	State Grid Corporation of China
推荐引用方式 GB/T 7714	Li, Lixin,Lv, Yan,Sun, Bo,et al. Integrated energy system evaluation and optimization based on integrated evaluation model and time-series optimization[J],2024,24(1).
APA	Li, Lixin.,Lv, Yan.,Sun, Bo.,Wang, Miao.,Chen, Bin.,...&Fan, Haiwei.(2024).Integrated energy system evaluation and optimization based on integrated evaluation model and time-series optimization.JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING,24(1).
MLA	Li, Lixin,et al."Integrated energy system evaluation and optimization based on integrated evaluation model and time-series optimization".JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 24.1(2024).