Reliability Indices and Evaluation Method of Integrated Energy System Considering Thermal Comfort Level of Customers

被引：0

作者：

Wang S. ^{[1
]}

Zhang S. ^{[1
]}

Cheng H. ^{[1
]}

Yuan K. ^{[2
]}

Song Y. ^{[2
]}

Han F. ^{[2
]}

机构：

[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai

[2] State Grid Economic and Technological Research Institute Co., Ltd., Beijing

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 01期

基金：

中国国家自然科学基金;

关键词：

integrated energy system; load shedding; reliability evaluation; sequential Monte Carlo method; thermal comfort level of customers;

D O I：

10.7500/AEPS20211028003

中图分类号：

学科分类号：

摘要：

Reliability evaluation is an important foundation for the planning and operation of integrated energy system. Both the load thermal inertia and the energy consumption essence of heat users are difficult to be taken into account by the existing reliability indices and evaluation methods of integrated energy system (IES). To this end, the reliability indices and evaluation method of integrated energy system considering thermal comfort level of customers are proposed. Firstly, based on the load thermal inertia model, the reliability index system of IES is established from the perspective of thermal comfort level of customers, including the load-level reliability index and the system-level reliability index. Secondly, on the basis of considering the output correlation of renewable energy and the load demand response, the load shedding strategy considering thermal comfort level of customers is set up, and the reliability evaluation method and process of integrated energy system based on sequential Monte Carlo simulation method are proposed. Finally, an example is given to verify the effectiveness of the proposed method, and the influences of photovoltaic output correlation, load shedding strategy considering thermal comfort level of customers, demand response and coupled reciprocal operation on the reliability evaluation results are analyzed. © 2023 Automation of Electric Power Systems Press. All rights reserved.

引用

页码：86 / 95

页数：9

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