Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation Division
There are the transmission loss of the electric power network, the delay and loss of the heating network, the insufficient utilization of flexible resources such as energy storage in the integrated electric-heat system, which may lead to the imbalance of supply and demand and energy waste. In this p...
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doaj-a78f4d9c4882472aa247d0845f8d0b892021-03-30T15:18:33ZengIEEEIEEE Access2169-35362021-01-019190041902410.1109/ACCESS.2021.30545329335557Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation DivisionXinrui Liu0https://orcid.org/0000-0002-6194-4115Fujia Zhang1Qiuye Sun2https://orcid.org/0000-0001-8801-0884Weiyang Zhong3College of Information Science and Engineering, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaThere are the transmission loss of the electric power network, the delay and loss of the heating network, the insufficient utilization of flexible resources such as energy storage in the integrated electric-heat system, which may lead to the imbalance of supply and demand and energy waste. In this paper, the coordinated dispatch of integrated electric-heat system (IEHS) considering the transmission characteristics of the electric power network and heating network, which is formulated as a convex quadratic program. The strong linkage of electric power and heat supplies can be decoupled to reduce wind power curtailment by exploiting the energy storage and regulation capabilities of the district heating network (DHN), storage batteries, electric boilers (EBs) and heat storage tanks (HSs). The energy storage system works according to the situation division strategy designed in this paper. This paper introduces the wind curtailment boundary power and optimizes dispatch based on the wind curtailment boundary power and unit output, which can make full use of the energy storage capacity and reduce the wind abandonment power. Since the electric power system (EPS) and the distribution heating system (DHS) are controlled separately by different operation organizations, IEHS is solved using double-λ iterative algorithm. The double-λ iterative algorithm, with guaranteed convergence for convex programs, can achieve a fully distributed solution for the IEHS and requires only a small amount boundary information exchange between the EPS and the DHS. At last, one integrated electric-heat system was studied to demonstrate the effectiveness of the proposed method which achieves the effective solution in a moderate number of iterations. This system includes two 10-nodes heating system and one 14-nodes electric power system.https://ieeexplore.ieee.org/document/9335557/Integrated electric-heat systemenergy storage situationnetwork transmission characteristicswind power accommodationdouble-λ iterative algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xinrui Liu Fujia Zhang Qiuye Sun Weiyang Zhong |
spellingShingle |
Xinrui Liu Fujia Zhang Qiuye Sun Weiyang Zhong Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation Division IEEE Access Integrated electric-heat system energy storage situation network transmission characteristics wind power accommodation double-λ iterative algorithm |
author_facet |
Xinrui Liu Fujia Zhang Qiuye Sun Weiyang Zhong |
author_sort |
Xinrui Liu |
title |
Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation Division |
title_short |
Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation Division |
title_full |
Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation Division |
title_fullStr |
Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation Division |
title_full_unstemmed |
Multi-Objective Optimization Strategy of Integrated Electric-Heat System Based on Energy Storage Situation Division |
title_sort |
multi-objective optimization strategy of integrated electric-heat system based on energy storage situation division |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
There are the transmission loss of the electric power network, the delay and loss of the heating network, the insufficient utilization of flexible resources such as energy storage in the integrated electric-heat system, which may lead to the imbalance of supply and demand and energy waste. In this paper, the coordinated dispatch of integrated electric-heat system (IEHS) considering the transmission characteristics of the electric power network and heating network, which is formulated as a convex quadratic program. The strong linkage of electric power and heat supplies can be decoupled to reduce wind power curtailment by exploiting the energy storage and regulation capabilities of the district heating network (DHN), storage batteries, electric boilers (EBs) and heat storage tanks (HSs). The energy storage system works according to the situation division strategy designed in this paper. This paper introduces the wind curtailment boundary power and optimizes dispatch based on the wind curtailment boundary power and unit output, which can make full use of the energy storage capacity and reduce the wind abandonment power. Since the electric power system (EPS) and the distribution heating system (DHS) are controlled separately by different operation organizations, IEHS is solved using double-λ iterative algorithm. The double-λ iterative algorithm, with guaranteed convergence for convex programs, can achieve a fully distributed solution for the IEHS and requires only a small amount boundary information exchange between the EPS and the DHS. At last, one integrated electric-heat system was studied to demonstrate the effectiveness of the proposed method which achieves the effective solution in a moderate number of iterations. This system includes two 10-nodes heating system and one 14-nodes electric power system. |
topic |
Integrated electric-heat system energy storage situation network transmission characteristics wind power accommodation double-λ iterative algorithm |
url |
https://ieeexplore.ieee.org/document/9335557/ |
work_keys_str_mv |
AT xinruiliu multiobjectiveoptimizationstrategyofintegratedelectricheatsystembasedonenergystoragesituationdivision AT fujiazhang multiobjectiveoptimizationstrategyofintegratedelectricheatsystembasedonenergystoragesituationdivision AT qiuyesun multiobjectiveoptimizationstrategyofintegratedelectricheatsystembasedonenergystoragesituationdivision AT weiyangzhong multiobjectiveoptimizationstrategyofintegratedelectricheatsystembasedonenergystoragesituationdivision |
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