Risk-Averse Multiobjective Optimization for Integrated Electricity and Heating System: An Augment Epsilon-Constraint Approach

Uncertainties including demand and environmental factors would increase the operational risk of the energy supply networks. It significantly affects the technical and financial aspects of the integrated electricity and heating system (IEHS). This article presents a risk-averse multiobjective optimiz...

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Published in:	IEEE systems journal Vol. 16; no. 4; pp. 5142 - 5153
Main Authors:	Si, Fangyuan, Wang, Jinkuan, Han, Yinghua, Zhao, Qiang
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Cogeneration Costs Decision making Electricity Epsilon-constraint method Heating integrated electricity and heating system (IEHS) Integrated energy systems multiobjective optimization Multiple objective analysis Optimization methods Pareto front Pareto optimization Probability distribution Resistance heating Risk levels Uncertainty Waste heat Wind power generation
ISSN:	1932-8184, 1937-9234
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Abstract	Uncertainties including demand and environmental factors would increase the operational risk of the energy supply networks. It significantly affects the technical and financial aspects of the integrated electricity and heating system (IEHS). This article presents a risk-averse multiobjective optimization strategy for short-term decision-making. The objective is to optimize the total cost and the technical dissatisfaction in a way that the economy of system operation and energy supply quality for the risk-averse scheme is guaranteed simultaneously. Based on the trapezoidal fuzzy membership function, the fuzzy constraint is constructed to quantify the technical dissatisfaction of the nodal voltage and supply temperature. Then, a multiobjective min-max-min problem is formulated to hedge the IEHS against risk imposed by the uncertain variables. Since the formulated two objectives compete with each other, a risk-averse multiobjective solution procedure based on the augmented epsilon-constraint algorithm is developed to recast the multiobjective problem into its equivalent single objective problem. And the accurate Pareto fronts under different risk levels are obtained with several iterations. Numerical case studies are conducted to evaluate the effectiveness and applicability of the proposed method. It provides benefits in the aspect of balancing the economy and energy supply quality under network constraints and uncertainties.
AbstractList	Uncertainties including demand and environmental factors would increase the operational risk of the energy supply networks. It significantly affects the technical and financial aspects of the integrated electricity and heating system (IEHS). This article presents a risk-averse multiobjective optimization strategy for short-term decision-making. The objective is to optimize the total cost and the technical dissatisfaction in a way that the economy of system operation and energy supply quality for the risk-averse scheme is guaranteed simultaneously. Based on the trapezoidal fuzzy membership function, the fuzzy constraint is constructed to quantify the technical dissatisfaction of the nodal voltage and supply temperature. Then, a multiobjective min–max–min problem is formulated to hedge the IEHS against risk imposed by the uncertain variables. Since the formulated two objectives compete with each other, a risk-averse multiobjective solution procedure based on the augmented epsilon-constraint algorithm is developed to recast the multiobjective problem into its equivalent single objective problem. And the accurate Pareto fronts under different risk levels are obtained with several iterations. Numerical case studies are conducted to evaluate the effectiveness and applicability of the proposed method. It provides benefits in the aspect of balancing the economy and energy supply quality under network constraints and uncertainties.
Author	Han, Yinghua Zhao, Qiang Wang, Jinkuan Si, Fangyuan
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Cites_doi	10.1016/j.orl.2013.05.003 10.1109/TSTE.2020.2989793 10.1049/iet-gtd.2019.0666 10.1109/TSG.2020.3003399 10.1016/j.apenergy.2018.09.152 10.1109/JAS.2016.7510079 10.1016/j.energy.2017.06.143 10.1109/TNNLS.2020.3027293 10.1016/j.apenergy.2019.01.199 10.1109/TII.2021.3112095 10.1016/j.enconman.2020.112589 10.1016/j.epsr.2020.106468 10.1016/j.apenergy.2017.05.060 10.1109/TSG.2019.2940031 10.1109/TCYB.2020.3016426 10.1109/TSTE.2015.2500571 10.1109/TPWRS.2019.2935748 10.1016/j.energy.2013.10.041 10.1016/j.epsr.2018.07.038 10.1109/TPWRS.2021.3049717 10.1016/j.apenergy.2019.113410 10.1109/JSYST.2020.2996952 10.1016/j.applthermaleng.2020.115413 10.1109/TSG.2018.2849227 10.1109/MPE.2016.2625218 10.1109/TIE.2017.2787605 10.1109/TSTE.2019.2962826 10.1109/TII.2018.2798820 10.1109/TPWRS.2019.2951719 10.1109/TSTE.2020.2988682 10.1109/TIE.2018.2863197 10.1016/j.energy.2020.117827 10.1109/TPWRS.2016.2544795 10.1109/TSG.2018.2828146 10.1016/j.applthermaleng.2020.115951 10.1016/j.apenergy.2015.11.022 10.17775/CSEEJPES.2020.02940 10.1109/TEC.2021.3099961
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SubjectTerms	Algorithms Cogeneration Costs Decision making Electricity Epsilon-constraint method Heating integrated electricity and heating system (IEHS) Integrated energy systems multiobjective optimization Multiple objective analysis Optimization methods Pareto front Pareto optimization Probability distribution Resistance heating Risk levels Uncertainty Waste heat Wind power generation
Title	Risk-Averse Multiobjective Optimization for Integrated Electricity and Heating System: An Augment Epsilon-Constraint Approach
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