Power Systems Optimization Challenges and Applications: An Overview
As the complexity of power systems and the challenges posed by uncertainty continue to evolve, identifying promising areas for further investigation becomes essential to improve decision-making processes and enhance the resilience and efficiency of power systems. The objective of this paper is to of...
Published in: | 2023 International Conference on Cognitive Computing and Complex Data, ICCD 2023 |
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2-s2.0-85186144148 Jaber A.S.; Kunna M.A.; Khatir S.K. Power Systems Optimization Challenges and Applications: An Overview 2023 2023 International Conference on Cognitive Computing and Complex Data, ICCD 2023 10.1109/ICCD59681.2023.10420621 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186144148&doi=10.1109%2fICCD59681.2023.10420621&partnerID=40&md5=0966c5d01546369c0bde7161926376b3 As the complexity of power systems and the challenges posed by uncertainty continue to evolve, identifying promising areas for further investigation becomes essential to improve decision-making processes and enhance the resilience and efficiency of power systems. The objective of this paper is to offer a comprehensive overview of the existing methods used for modeling and optimization of problems that are affected by uncertainty, with a specific focus on the context of power systems. Furthermore, this paper delves into the examination of significant challenges and applications where optimization plays a crucial role in power systems. By exploring real-world use cases, it sheds light on the practical implications of these methods and their potential benefits for power system operation and planning. Additionally, the paper provides a glimpse into the future by outlining potential research directions in this field. © 2023 IEEE. Institute of Electrical and Electronics Engineers Inc. English Conference paper |
author |
Jaber A.S.; Kunna M.A.; Khatir S.K. |
spellingShingle |
Jaber A.S.; Kunna M.A.; Khatir S.K. Power Systems Optimization Challenges and Applications: An Overview |
author_facet |
Jaber A.S.; Kunna M.A.; Khatir S.K. |
author_sort |
Jaber A.S.; Kunna M.A.; Khatir S.K. |
title |
Power Systems Optimization Challenges and Applications: An Overview |
title_short |
Power Systems Optimization Challenges and Applications: An Overview |
title_full |
Power Systems Optimization Challenges and Applications: An Overview |
title_fullStr |
Power Systems Optimization Challenges and Applications: An Overview |
title_full_unstemmed |
Power Systems Optimization Challenges and Applications: An Overview |
title_sort |
Power Systems Optimization Challenges and Applications: An Overview |
publishDate |
2023 |
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2023 International Conference on Cognitive Computing and Complex Data, ICCD 2023 |
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doi_str_mv |
10.1109/ICCD59681.2023.10420621 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186144148&doi=10.1109%2fICCD59681.2023.10420621&partnerID=40&md5=0966c5d01546369c0bde7161926376b3 |
description |
As the complexity of power systems and the challenges posed by uncertainty continue to evolve, identifying promising areas for further investigation becomes essential to improve decision-making processes and enhance the resilience and efficiency of power systems. The objective of this paper is to offer a comprehensive overview of the existing methods used for modeling and optimization of problems that are affected by uncertainty, with a specific focus on the context of power systems. Furthermore, this paper delves into the examination of significant challenges and applications where optimization plays a crucial role in power systems. By exploring real-world use cases, it sheds light on the practical implications of these methods and their potential benefits for power system operation and planning. Additionally, the paper provides a glimpse into the future by outlining potential research directions in this field. © 2023 IEEE. |
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Institute of Electrical and Electronics Engineers Inc. |
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English |
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Conference paper |
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scopus |
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Scopus |
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1809677682522193920 |