A comprehensive review of planning, modeling, optimization, and control of distributed energy systems
Distributed energy system, a decentralized low-carbon energy system arranged at the customer side, is characterized by multi-energy complementarity, multi-energy flow synergy, multi-process coupling, and multi-temporal scales (n-M characteristics). This review provides a systematic and comprehensive...
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| Vydáno v: | Carbon Neutrality (Online) Ročník 1; číslo 1; s. 1 - 29 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Singapore
Springer Nature Singapore
01.12.2022
Springer |
| Témata: | |
| ISSN: | 2731-3948, 2731-3948 |
| On-line přístup: | Získat plný text |
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| Abstract | Distributed energy system, a decentralized low-carbon energy system arranged at the customer side, is characterized by multi-energy complementarity, multi-energy flow synergy, multi-process coupling, and multi-temporal scales (n-M characteristics). This review provides a systematic and comprehensive summary and presents the current research on distributed energy systems in three dimensions: system planning and evaluation, modeling and optimization, and operation and control. Under the regional environmental, resource, and policy constraints, planning distributed energy systems should fully integrate technical, economic, environmental, and social factors and consider device characteristics, system architecture, and source-load uncertainties. Further, this review presents four modeling perspectives for optimizing and analyzing distributed energy systems, including energy hub, thermodynamics, heat current, and data-driven. The system’s optimal operation and scheduling strategies, disturbance analysis, and related control methods are also discussed from the power system and thermal system, respectively. In all, more research is required for distributed energy systems based on an integrated energy perspective in optimal system structure, hybrid modeling approaches, data-driven system state estimation, cross-system disturbance spread, and multi-subject interaction control. |
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| AbstractList | Abstract Distributed energy system, a decentralized low-carbon energy system arranged at the customer side, is characterized by multi-energy complementarity, multi-energy flow synergy, multi-process coupling, and multi-temporal scales (n-M characteristics). This review provides a systematic and comprehensive summary and presents the current research on distributed energy systems in three dimensions: system planning and evaluation, modeling and optimization, and operation and control. Under the regional environmental, resource, and policy constraints, planning distributed energy systems should fully integrate technical, economic, environmental, and social factors and consider device characteristics, system architecture, and source-load uncertainties. Further, this review presents four modeling perspectives for optimizing and analyzing distributed energy systems, including energy hub, thermodynamics, heat current, and data-driven. The system’s optimal operation and scheduling strategies, disturbance analysis, and related control methods are also discussed from the power system and thermal system, respectively. In all, more research is required for distributed energy systems based on an integrated energy perspective in optimal system structure, hybrid modeling approaches, data-driven system state estimation, cross-system disturbance spread, and multi-subject interaction control. Distributed energy system, a decentralized low-carbon energy system arranged at the customer side, is characterized by multi-energy complementarity, multi-energy flow synergy, multi-process coupling, and multi-temporal scales (n-M characteristics). This review provides a systematic and comprehensive summary and presents the current research on distributed energy systems in three dimensions: system planning and evaluation, modeling and optimization, and operation and control. Under the regional environmental, resource, and policy constraints, planning distributed energy systems should fully integrate technical, economic, environmental, and social factors and consider device characteristics, system architecture, and source-load uncertainties. Further, this review presents four modeling perspectives for optimizing and analyzing distributed energy systems, including energy hub, thermodynamics, heat current, and data-driven. The system’s optimal operation and scheduling strategies, disturbance analysis, and related control methods are also discussed from the power system and thermal system, respectively. In all, more research is required for distributed energy systems based on an integrated energy perspective in optimal system structure, hybrid modeling approaches, data-driven system state estimation, cross-system disturbance spread, and multi-subject interaction control. |
| ArticleNumber | 28 |
| Author | Hao, Junhong Xu, Chao Du, Xiaoze Yang, Yongping |
| Author_xml | – sequence: 1 givenname: Junhong orcidid: 0000-0002-5100-1391 surname: Hao fullname: Hao, Junhong organization: Key Laboratory of Power Station Energy Transfer Conversion, Ministry of Education, School of Energy Power and Mechanical Engineering, North China Electric Power University – sequence: 2 givenname: Yongping surname: Yang fullname: Yang, Yongping email: yyp@ncepu.edu.cn organization: Key Laboratory of Power Station Energy Transfer Conversion, Ministry of Education, School of Energy Power and Mechanical Engineering, North China Electric Power University – sequence: 3 givenname: Chao surname: Xu fullname: Xu, Chao organization: Key Laboratory of Power Station Energy Transfer Conversion, Ministry of Education, School of Energy Power and Mechanical Engineering, North China Electric Power University – sequence: 4 givenname: Xiaoze surname: Du fullname: Du, Xiaoze organization: Key Laboratory of Power Station Energy Transfer Conversion, Ministry of Education, School of Energy Power and Mechanical Engineering, North China Electric Power University |
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