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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doaj-762e7706927e47b3adaa5b78b1bbdad62021-06-07T23:00:49ZengIEEEIEEE Access2169-35362021-01-019805718058110.1109/ACCESS.2021.30839229441019A Collaborative Demand-Controlled Operation Strategy for a Multi-Energy SystemMao Yunshou0https://orcid.org/0000-0002-8729-2880Wu Jiekang1https://orcid.org/0000-0002-8512-2079Wang Ruidong2Cai Zhihong3Zhang Ran4Chen Lingmin5Zhang Wenjie6School of Automation, Guangdong University of Technology, Guangzhou, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaBeijing Aerocim Technology Company Ltd, Beijing, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaHuizhou Power Supply Bureau, Guangdong Power Grid Corporation, Huizhou, ChinaThe 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.https://ieeexplore.ieee.org/document/9441019/Multi-energy systemrobust linear optimizationindoor temperature controldemand responseoptimal operation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mao Yunshou Wu Jiekang Wang Ruidong Cai Zhihong Zhang Ran Chen Lingmin Zhang Wenjie |
spellingShingle |
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 IEEE Access Multi-energy system robust linear optimization indoor temperature control demand response optimal operation |
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 |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
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. |
topic |
Multi-energy system robust linear optimization indoor temperature control demand response optimal operation |
url |
https://ieeexplore.ieee.org/document/9441019/ |
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