Multi-Objective Optimization of Steam Power System Under Demand Uncertainty

There are many uncertain factors, which are critical for the efficient operation of steam power systems (SPSs). Due to the modelling inaccuracy and the changing environment, it is challenging to directly formulate the model for SPS operation. In this paper, a method is proposed to alleviate the infl...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yu Huang, Huizhen Pang, Peng Ding, Bingzhe Zhang, Kwang Y. Lee, Biao Wang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Steam power systems exergy demand-side uncertainty multi-objective Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b86201e90205487da8a18e5c5cc98124
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b86201e90205487da8a18e5c5cc98124
record_format	dspace
spelling	oai:doaj.org-article:b86201e90205487da8a18e5c5cc981242021-11-19T00:06:49ZMulti-Objective Optimization of Steam Power System Under Demand Uncertainty2169-353610.1109/ACCESS.2021.3104110https://doaj.org/article/b86201e90205487da8a18e5c5cc981242021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9511445/https://doaj.org/toc/2169-3536There are many uncertain factors, which are critical for the efficient operation of steam power systems (SPSs). Due to the modelling inaccuracy and the changing environment, it is challenging to directly formulate the model for SPS operation. In this paper, a method is proposed to alleviate the influence of small-scale fluctuation by discretizing the uncertainty working condition on the SPS. Moreover, the exergy analysis method is proposed to evaluate the quality of different energy and develop a mixed-integer nonlinear model of SPS considering the economic and exergy objectives. Finally, the <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>-constraint method is used to obtain the Pareto front of the multi-objective optimization problem, and the fuzzy decision is used to determine the optimal strategy of the system. By introducing the multi-objective optimization of the SPS model with demand side uncertainty, a flexible scheduling scheme with good economic and exergy objectives is obtained. Comparing with the optimal scheduling without the demand-side uncertainty, numerical results indicate the feasibility and effectiveness of the model.Yu HuangHuizhen PangPeng DingBingzhe ZhangKwang Y. LeeBiao WangIEEEarticleSteam power systemsexergydemand-side uncertaintymulti-objectiveElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 113130-113142 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Steam power systems exergy demand-side uncertainty multi-objective Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Steam power systems exergy demand-side uncertainty multi-objective Electrical engineering. Electronics. Nuclear engineering TK1-9971 Yu Huang Huizhen Pang Peng Ding Bingzhe Zhang Kwang Y. Lee Biao Wang Multi-Objective Optimization of Steam Power System Under Demand Uncertainty
description	There are many uncertain factors, which are critical for the efficient operation of steam power systems (SPSs). Due to the modelling inaccuracy and the changing environment, it is challenging to directly formulate the model for SPS operation. In this paper, a method is proposed to alleviate the influence of small-scale fluctuation by discretizing the uncertainty working condition on the SPS. Moreover, the exergy analysis method is proposed to evaluate the quality of different energy and develop a mixed-integer nonlinear model of SPS considering the economic and exergy objectives. Finally, the <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>-constraint method is used to obtain the Pareto front of the multi-objective optimization problem, and the fuzzy decision is used to determine the optimal strategy of the system. By introducing the multi-objective optimization of the SPS model with demand side uncertainty, a flexible scheduling scheme with good economic and exergy objectives is obtained. Comparing with the optimal scheduling without the demand-side uncertainty, numerical results indicate the feasibility and effectiveness of the model.
format	article
author	Yu Huang Huizhen Pang Peng Ding Bingzhe Zhang Kwang Y. Lee Biao Wang
author_facet	Yu Huang Huizhen Pang Peng Ding Bingzhe Zhang Kwang Y. Lee Biao Wang
author_sort	Yu Huang
title	Multi-Objective Optimization of Steam Power System Under Demand Uncertainty
title_short	Multi-Objective Optimization of Steam Power System Under Demand Uncertainty
title_full	Multi-Objective Optimization of Steam Power System Under Demand Uncertainty
title_fullStr	Multi-Objective Optimization of Steam Power System Under Demand Uncertainty
title_full_unstemmed	Multi-Objective Optimization of Steam Power System Under Demand Uncertainty
title_sort	multi-objective optimization of steam power system under demand uncertainty
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/b86201e90205487da8a18e5c5cc98124
work_keys_str_mv	AT yuhuang multiobjectiveoptimizationofsteampowersystemunderdemanduncertainty AT huizhenpang multiobjectiveoptimizationofsteampowersystemunderdemanduncertainty AT pengding multiobjectiveoptimizationofsteampowersystemunderdemanduncertainty AT bingzhezhang multiobjectiveoptimizationofsteampowersystemunderdemanduncertainty AT kwangylee multiobjectiveoptimizationofsteampowersystemunderdemanduncertainty AT biaowang multiobjectiveoptimizationofsteampowersystemunderdemanduncertainty
_version_	1718420631011196928

Multi-Objective Optimization of Steam Power System Under Demand Uncertainty

Ejemplares similares