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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Veröffentlicht in:Carbon Neutrality (Online) Jg. 1; H. 1; S. 1 - 29
Hauptverfasser: Hao, Junhong, Yang, Yongping, Xu, Chao, Du, Xiaoze
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Singapore Springer Nature Singapore 01.12.2022
Springer
Schlagworte:
Climate Change
Distributed energy systems
Energy
Environmental Science and Engineering
Evaluation
Modeling
Operation
Optimization
Planning
Review
Evaluation
Control
Distributed energy systems
Planning
Operation
Modeling
Optimization
ISSN:2731-3948, 2731-3948
Online-Zugang:Volltext
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Zusammenfassung: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.
ISSN:2731-3948
2731-3948
DOI:10.1007/s43979-022-00029-1