A Collaborative Demand-Controlled Operation Strategy for a Multi-Energy System

The multi-energy system is a promising energy-efficient technology to supply electric and thermal energy to end-users simultaneously, which can realize the energy cascade utilization. However, it is challenging to optimize the operation of multi-energy systems due to their inherent structural comple...

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Autores principales: Mao Yunshou, Wu Jiekang, Wang Ruidong, Cai Zhihong, Zhang Ran, Chen Lingmin, Zhang Wenjie
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/762e7706927e47b3adaa5b78b1bbdad6
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spelling oai:doaj.org-article:762e7706927e47b3adaa5b78b1bbdad62021-11-03T23:00:13ZA Collaborative Demand-Controlled Operation Strategy for a Multi-Energy System2169-353610.1109/ACCESS.2021.3083922https://doaj.org/article/762e7706927e47b3adaa5b78b1bbdad62021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9441019/https://doaj.org/toc/2169-3536The multi-energy system is a promising energy-efficient technology to supply electric and thermal energy to end-users simultaneously, which can realize the energy cascade utilization. However, it is challenging to optimize the operation of multi-energy systems due to their inherent structural complexity, as well as the highly coupled nature of multiple energy flows and the uncertainty of renewable energy generation. This paper proposed a collaborative demand-controlled operation strategy for a multi-energy system, which consists of an upper-level model and a lower-level model. In the upper-level model, a robust linear optimization method is adopted to optimize the system operation in a day-ahead stage. In the lower-level model, a stochastic rolling optimization method is applied to achieve a dynamic adjustment to cope with the fluctuation in both renewable electricity generation and electric load. The multiple energy demand-controlled strategy is also applied in the optimal operation strategy to achieve load shifting and to create flexibility in energy demand despite the “source-load” imbalance power fluctuation. A case study is carried out and simulation results verify the effectiveness and correctness of the proposed model of the coordinated operation framework.Mao YunshouWu JiekangWang RuidongCai ZhihongZhang RanChen LingminZhang WenjieIEEEarticleMulti-energy systemrobust linear optimizationindoor temperature controldemand responseoptimal operationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 80571-80581 (2021)
institution DOAJ
collection DOAJ
language EN
topic Multi-energy system
robust linear optimization
indoor temperature control
demand response
optimal operation
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Multi-energy system
robust linear optimization
indoor temperature control
demand response
optimal operation
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Mao Yunshou
Wu Jiekang
Wang Ruidong
Cai Zhihong
Zhang Ran
Chen Lingmin
Zhang Wenjie
A Collaborative Demand-Controlled Operation Strategy for a Multi-Energy System
description The multi-energy system is a promising energy-efficient technology to supply electric and thermal energy to end-users simultaneously, which can realize the energy cascade utilization. However, it is challenging to optimize the operation of multi-energy systems due to their inherent structural complexity, as well as the highly coupled nature of multiple energy flows and the uncertainty of renewable energy generation. This paper proposed a collaborative demand-controlled operation strategy for a multi-energy system, which consists of an upper-level model and a lower-level model. In the upper-level model, a robust linear optimization method is adopted to optimize the system operation in a day-ahead stage. In the lower-level model, a stochastic rolling optimization method is applied to achieve a dynamic adjustment to cope with the fluctuation in both renewable electricity generation and electric load. The multiple energy demand-controlled strategy is also applied in the optimal operation strategy to achieve load shifting and to create flexibility in energy demand despite the “source-load” imbalance power fluctuation. A case study is carried out and simulation results verify the effectiveness and correctness of the proposed model of the coordinated operation framework.
format article
author Mao Yunshou
Wu Jiekang
Wang Ruidong
Cai Zhihong
Zhang Ran
Chen Lingmin
Zhang Wenjie
author_facet Mao Yunshou
Wu Jiekang
Wang Ruidong
Cai Zhihong
Zhang Ran
Chen Lingmin
Zhang Wenjie
author_sort Mao Yunshou
title A Collaborative Demand-Controlled Operation Strategy for a Multi-Energy System
title_short A Collaborative Demand-Controlled Operation Strategy for a Multi-Energy System
title_full A Collaborative Demand-Controlled Operation Strategy for a Multi-Energy System
title_fullStr A Collaborative Demand-Controlled Operation Strategy for a Multi-Energy System
title_full_unstemmed A Collaborative Demand-Controlled Operation Strategy for a Multi-Energy System
title_sort collaborative demand-controlled operation strategy for a multi-energy system
publisher IEEE
publishDate 2021
url https://doaj.org/article/762e7706927e47b3adaa5b78b1bbdad6
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