A Review of Reliability Research in Regional Integrated Energy System: Indicator, Modeling, and Assessment Methods

被引:0
作者
Li, Da [1 ]
Xu, Peng [1 ]
Gu, Jiefan [2 ]
Zhu, Yi [1 ]
机构
[1] Tongji Univ, Sch Mech Engn, Shanghai 201800, Peoples R China
[2] Tongji Univ, Sch Architecture & Urban Planning, Shanghai 201800, Peoples R China
基金
中国国家自然科学基金;
关键词
reliability; integrated energy system; energy hub; load flow; coupling relationship; review; DYNAMIC BAYESIAN NETWORK; PROBABILISTIC LOAD FLOW; OPTIMAL POWER-FLOW; FAILURE PROBABILITY; WIND ENERGY; MANAGEMENT; OPTIMIZATION; STORAGE; ELECTRICITY; HUB;
D O I
10.3390/buildings14113428
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The increasing complexity of integrated energy systems has made reliability assessment a critical challenge. This paper presents a comprehensive review of reliability assessment in Regional Integrated Energy Systems (RIES), focusing on key aspects such as reliability indicators, modeling approaches, and evaluation techniques. This study highlights the role of renewable energy sources and examines the coupling relationships within RIES. Energy hub models and complex network theory are identified as significant in RIES modeling, while probabilistic load flow analysis shows promise in handling renewable energy uncertainties. This paper also explores the potential of machine learning methods and multi-objective optimization approaches in enhancing system reliability. By proposing an integrated assessment framework, this study addresses this research gap in reliability evaluation under high renewable energy penetration scenarios. The findings contribute to the advancement of reliability assessment methodologies for integrated energy systems, supporting the development of more resilient and sustainable energy infrastructures.
引用
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页数:28
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