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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Main Authors: Xinrui Liu, Fujia Zhang, Qiuye Sun, Weiyang Zhong
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9335557/
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spelling 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/
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AT fujiazhang multiobjectiveoptimizationstrategyofintegratedelectricheatsystembasedonenergystoragesituationdivision
AT qiuyesun multiobjectiveoptimizationstrategyofintegratedelectricheatsystembasedonenergystoragesituationdivision
AT weiyangzhong multiobjectiveoptimizationstrategyofintegratedelectricheatsystembasedonenergystoragesituationdivision
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