Coupling Analysis for Multienergy Systems by Self and Cross Critical Load Level

Multienergy system (MES) operation has proven beneficial to the flexibility and efficiency of energy usage. Although efforts have been made toward the simulation and optimization of MESs, successful MES deployment is a grand challenge for market operations. The previous literature focuses on the mod...

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Main Authors: Qiwei Zhang, Fangxing Li, Linquan Bai, Honggang Wang, Jin Zhao, Hang Shuai
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Access Journal of Power and Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10061468/
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author Qiwei Zhang
Fangxing Li
Linquan Bai
Honggang Wang
Jin Zhao
Hang Shuai
author_facet Qiwei Zhang
Fangxing Li
Linquan Bai
Honggang Wang
Jin Zhao
Hang Shuai
author_sort Qiwei Zhang
collection DOAJ
description Multienergy system (MES) operation has proven beneficial to the flexibility and efficiency of energy usage. Although efforts have been made toward the simulation and optimization of MESs, successful MES deployment is a grand challenge for market operations. The previous literature focuses on the modeling of the MES and the formulation of corresponding locational marginal prices (LMPs). A detailed analysis of LMP properties in an MES market-clearing model has not been fully developed. Although coupling analysis between different energy systems has been conducted from a system and power flow perspective, a coupling analysis with a specific indicator from a LMP perspective could provide operators with new insight into MES integration. Therefore, this paper first identifies six properties of the LMP in a unified MES market-clearing model. Then, based on the identified properties, two new types of critical load levels (CLL), Self-CLL and Cross-CLL, are defined and discussed to investigate the MES price pattern. Next, the Self-CLLs and Cross-CLLs for an MES are quantified by grey relation analysis (GRA) to deliver an MES coupling analysis from the perspective of LMP patterns. The identified properties and proposed analysis are demonstrated with a small MES case and a large one.
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spelling doaj.art-4c6ac170a13c423f9af6568ba3d77aa82024-01-19T00:01:36ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102023-01-011050351610.1109/OAJPE.2023.325378310061468Coupling Analysis for Multienergy Systems by Self and Cross Critical Load LevelQiwei Zhang0https://orcid.org/0000-0002-2392-0403Fangxing Li1https://orcid.org/0000-0003-1060-7618Linquan Bai2https://orcid.org/0000-0002-1408-0369Honggang Wang3Jin Zhao4https://orcid.org/0000-0003-4500-1288Hang Shuai5https://orcid.org/0000-0001-5087-699XDepartment of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USADepartment of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USADepartment of Systems Engineering and Engineering Management, The University of North Carolina at Charlotte, Charlotte, NC, USADepartment of Technology and Operations Management, California Polytechnic State University at Pomona, Pomona, CA, USADepartment of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USADepartment of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USAMultienergy system (MES) operation has proven beneficial to the flexibility and efficiency of energy usage. Although efforts have been made toward the simulation and optimization of MESs, successful MES deployment is a grand challenge for market operations. The previous literature focuses on the modeling of the MES and the formulation of corresponding locational marginal prices (LMPs). A detailed analysis of LMP properties in an MES market-clearing model has not been fully developed. Although coupling analysis between different energy systems has been conducted from a system and power flow perspective, a coupling analysis with a specific indicator from a LMP perspective could provide operators with new insight into MES integration. Therefore, this paper first identifies six properties of the LMP in a unified MES market-clearing model. Then, based on the identified properties, two new types of critical load levels (CLL), Self-CLL and Cross-CLL, are defined and discussed to investigate the MES price pattern. Next, the Self-CLLs and Cross-CLLs for an MES are quantified by grey relation analysis (GRA) to deliver an MES coupling analysis from the perspective of LMP patterns. The identified properties and proposed analysis are demonstrated with a small MES case and a large one.https://ieeexplore.ieee.org/document/10061468/Multienergy systemintegrated electricity-heat-gas operationintegrated energy systemlocational marginal pricecritical load levelcoupling analysis
spellingShingle Qiwei Zhang
Fangxing Li
Linquan Bai
Honggang Wang
Jin Zhao
Hang Shuai
Coupling Analysis for Multienergy Systems by Self and Cross Critical Load Level
IEEE Open Access Journal of Power and Energy
Multienergy system
integrated electricity-heat-gas operation
integrated energy system
locational marginal price
critical load level
coupling analysis
title Coupling Analysis for Multienergy Systems by Self and Cross Critical Load Level
title_full Coupling Analysis for Multienergy Systems by Self and Cross Critical Load Level
title_fullStr Coupling Analysis for Multienergy Systems by Self and Cross Critical Load Level
title_full_unstemmed Coupling Analysis for Multienergy Systems by Self and Cross Critical Load Level
title_short Coupling Analysis for Multienergy Systems by Self and Cross Critical Load Level
title_sort coupling analysis for multienergy systems by self and cross critical load level
topic Multienergy system
integrated electricity-heat-gas operation
integrated energy system
locational marginal price
critical load level
coupling analysis
url https://ieeexplore.ieee.org/document/10061468/
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AT honggangwang couplinganalysisformultienergysystemsbyselfandcrosscriticalloadlevel
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