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...
Guardado en:
Autores principales: | , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/762e7706927e47b3adaa5b78b1bbdad6 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:762e7706927e47b3adaa5b78b1bbdad6 |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT maoyunshou acollaborativedemandcontrolledoperationstrategyforamultienergysystem AT wujiekang acollaborativedemandcontrolledoperationstrategyforamultienergysystem AT wangruidong acollaborativedemandcontrolledoperationstrategyforamultienergysystem AT caizhihong acollaborativedemandcontrolledoperationstrategyforamultienergysystem AT zhangran acollaborativedemandcontrolledoperationstrategyforamultienergysystem AT chenlingmin acollaborativedemandcontrolledoperationstrategyforamultienergysystem AT zhangwenjie acollaborativedemandcontrolledoperationstrategyforamultienergysystem AT maoyunshou collaborativedemandcontrolledoperationstrategyforamultienergysystem AT wujiekang collaborativedemandcontrolledoperationstrategyforamultienergysystem AT wangruidong collaborativedemandcontrolledoperationstrategyforamultienergysystem AT caizhihong collaborativedemandcontrolledoperationstrategyforamultienergysystem AT zhangran collaborativedemandcontrolledoperationstrategyforamultienergysystem AT chenlingmin collaborativedemandcontrolledoperationstrategyforamultienergysystem AT zhangwenjie collaborativedemandcontrolledoperationstrategyforamultienergysystem |
_version_ |
1718445337427836928 |