Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method

Improving the utilization efficiency of renewable energy sources (RES) is an important task for the development of an integrated energy system (IES). To address this challenge, this paper proposes a novel multi-objective interval optimization framework for the energy hub (EH) planning problem from t...

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Autores principales:	Hang Liu, Shi Tian, Xing Wang, Yuwei Cao, Ming Zeng, Yanbin Li
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Demand-side management improved non-dominated sorting genetic algorithm multi-objective interval optimization model source load synergy uncertainty analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/0db3ff57eaa44e05ad14606b8abdfad1
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spelling	oai:doaj.org-article:0db3ff57eaa44e05ad14606b8abdfad12021-11-19T00:06:29ZOptimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method2169-353610.1109/ACCESS.2021.3053598https://doaj.org/article/0db3ff57eaa44e05ad14606b8abdfad12021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9337924/https://doaj.org/toc/2169-3536Improving the utilization efficiency of renewable energy sources (RES) is an important task for the development of an integrated energy system (IES). To address this challenge, this paper proposes a novel multi-objective interval optimization framework for the energy hub (EH) planning problem from the perspective of the source load synergy, while considering the impacts of both supply- and demand-side uncertainties. For this aim, based on an in-depth analysis of the adjustable characteristics of various loads in EH and their effect on RES absorption, an interval model is first established to describe the responsiveness of users’ load demand to real-time energy price variations and its associated uncertainties. In view of the natural contradiction between the system’s economic and environmental benefits, a multi-objective interval optimization model for the EH planning problem is developed, wherein the minimization of the system’s economic costs and the maximization of the RES utilization rate are considered as the dual objectives to be optimized simultaneously. Moreover, this study takes into account the uncertainties of RES availability and demand-side behaviors by using interval numbers and properly considering their impacts in the context of long-term planning. According to the features of the proposed model, the interval order relation and possible degree method are jointly used to transform the model into a deterministic optimization problem first, and then an improved non-dominant sorting genetic algorithm is used to derive the optimal solution to the problem. The results show that the proposed method can effectively improve the economy of EH and the utilization efficiency of RES and flexibly meet different planning requirements, giving better engineering practicability.Hang LiuShi TianXing WangYuwei CaoMing ZengYanbin LiIEEEarticleDemand-side managementimproved non-dominated sorting genetic algorithmmulti-objective interval optimization modelsource load synergyuncertainty analysisElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 26278-26289 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Demand-side management improved non-dominated sorting genetic algorithm multi-objective interval optimization model source load synergy uncertainty analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Demand-side management improved non-dominated sorting genetic algorithm multi-objective interval optimization model source load synergy uncertainty analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971 Hang Liu Shi Tian Xing Wang Yuwei Cao Ming Zeng Yanbin Li Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method
description	Improving the utilization efficiency of renewable energy sources (RES) is an important task for the development of an integrated energy system (IES). To address this challenge, this paper proposes a novel multi-objective interval optimization framework for the energy hub (EH) planning problem from the perspective of the source load synergy, while considering the impacts of both supply- and demand-side uncertainties. For this aim, based on an in-depth analysis of the adjustable characteristics of various loads in EH and their effect on RES absorption, an interval model is first established to describe the responsiveness of users’ load demand to real-time energy price variations and its associated uncertainties. In view of the natural contradiction between the system’s economic and environmental benefits, a multi-objective interval optimization model for the EH planning problem is developed, wherein the minimization of the system’s economic costs and the maximization of the RES utilization rate are considered as the dual objectives to be optimized simultaneously. Moreover, this study takes into account the uncertainties of RES availability and demand-side behaviors by using interval numbers and properly considering their impacts in the context of long-term planning. According to the features of the proposed model, the interval order relation and possible degree method are jointly used to transform the model into a deterministic optimization problem first, and then an improved non-dominant sorting genetic algorithm is used to derive the optimal solution to the problem. The results show that the proposed method can effectively improve the economy of EH and the utilization efficiency of RES and flexibly meet different planning requirements, giving better engineering practicability.
format	article
author	Hang Liu Shi Tian Xing Wang Yuwei Cao Ming Zeng Yanbin Li
author_facet	Hang Liu Shi Tian Xing Wang Yuwei Cao Ming Zeng Yanbin Li
author_sort	Hang Liu
title	Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method
title_short	Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method
title_full	Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method
title_fullStr	Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method
title_full_unstemmed	Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method
title_sort	optimal planning design of a district-level integrated energy system considering the impacts of multi-dimensional uncertainties: a multi-objective interval optimization method
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/0db3ff57eaa44e05ad14606b8abdfad1
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Optimal Planning Design of a District-Level Integrated Energy System Considering the Impacts of Multi-Dimensional Uncertainties: A Multi-Objective Interval Optimization Method

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