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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References ref35
ref13
ref34
ref12
ref37
ref15
ref36
ref31
ref30
ref33
ref11
mancarella (ref4) 2014; 65
ref32
ref10
ref2
ref1
ref17
ref38
ref16
ref19
ref18
(ref41) 0
ref24
ref23
ref26
(ref39) 2020
ref25
ref20
ref22
ref21
(ref40) 2020
ref28
ref27
ref29
ref8
ref7
ref9
ref3
ref6
zhang (ref14) 2019; 13
ref5
References_xml – ident: ref37
  doi: 10.1016/j.orl.2013.05.003
– ident: ref27
  doi: 10.1109/TSTE.2020.2989793
– volume: 13
  start-page: 5263
  year: 2019
  ident: ref14
  article-title: Electricity-gas-integrated energy planning based on reward and penalty ladder-type carbon trading cost
  publication-title: IET Gener Transm Distrib
  doi: 10.1049/iet-gtd.2019.0666
– ident: ref11
  doi: 10.1109/TSG.2020.3003399
– ident: ref18
  doi: 10.1016/j.apenergy.2018.09.152
– ident: ref38
  doi: 10.1109/JAS.2016.7510079
– ident: ref35
  doi: 10.1016/j.energy.2017.06.143
– ident: ref16
  doi: 10.1109/TNNLS.2020.3027293
– ident: ref7
  doi: 10.1016/j.apenergy.2019.01.199
– ident: ref12
  doi: 10.1109/TII.2021.3112095
– ident: ref31
  doi: 10.1016/j.enconman.2020.112589
– year: 2020
  ident: ref39
  publication-title: GAMS A User's Guide
– ident: ref1
  doi: 10.1016/j.epsr.2020.106468
– ident: ref6
  doi: 10.1016/j.apenergy.2017.05.060
– ident: ref32
  doi: 10.1109/TSG.2019.2940031
– ident: ref15
  doi: 10.1109/TCYB.2020.3016426
– ident: ref10
  doi: 10.1109/TSTE.2015.2500571
– ident: ref9
  doi: 10.1109/TPWRS.2019.2935748
– volume: 65
  start-page: 1
  year: 2014
  ident: ref4
  article-title: MES (multi-energy systems): An overview of concepts and evaluation models
  publication-title: Energy
  doi: 10.1016/j.energy.2013.10.041
– ident: ref23
  doi: 10.1016/j.epsr.2018.07.038
– ident: ref34
  doi: 10.1109/TPWRS.2021.3049717
– ident: ref3
  doi: 10.1016/j.apenergy.2019.113410
– ident: ref22
  doi: 10.1109/JSYST.2020.2996952
– ident: ref36
  doi: 10.1016/j.applthermaleng.2020.115413
– ident: ref13
  doi: 10.1109/TSG.2018.2849227
– ident: ref2
  doi: 10.1109/MPE.2016.2625218
– ident: ref26
  doi: 10.1109/TIE.2017.2787605
– ident: ref28
  doi: 10.1109/TSTE.2019.2962826
– ident: ref29
  doi: 10.1109/TII.2018.2798820
– ident: ref8
  doi: 10.1109/TPWRS.2019.2951719
– ident: ref19
  doi: 10.1109/TSTE.2020.2988682
– ident: ref24
  doi: 10.1109/TIE.2018.2863197
– ident: ref25
  doi: 10.1016/j.energy.2020.117827
– year: 2020
  ident: ref40
  article-title: Lindo Systems Inc. LINDO API - A User Manual
– ident: ref33
  doi: 10.1109/TPWRS.2016.2544795
– ident: ref21
  doi: 10.1109/TSG.2018.2828146
– ident: ref20
  doi: 10.1016/j.applthermaleng.2020.115951
– ident: ref5
  doi: 10.1016/j.apenergy.2015.11.022
– ident: ref30
  doi: 10.17775/CSEEJPES.2020.02940
– ident: ref17
  doi: 10.1109/TEC.2021.3099961
– year: 0
  ident: ref41
  publication-title: Test Data of a Small-Scale System for Robust IEHS Scheduling
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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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