Interval Optimization-Based Optimal Design of Distributed Energy Resource Systems under Uncertainties

被引：9
作者：
Li, Da [1 ,2 ,3 ]
Zhang, Shijie [1 ,2 ,3 ]
Xiao, Yunhan [1 ,2 ,3 ]
机构：
[1] Chinese Acad Sci, Inst Engn Thermophys, Key Lab Adv Energy & Power, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Res Ctr Clean Energy & Power, Lianyungang 222069, Peoples R China
来源：
ENERGIES | 2020年 / 13卷 / 13期
基金：
中国国家自然科学基金;
关键词：
distributed energy resource; optimal design; interval optimization; uncertainty; operation optimization; STOCHASTIC-PROGRAMMING MODEL; ROBUST OPTIMIZATION; OPERATION OPTIMIZATION; MULTIOBJECTIVE OPTIMIZATION; DECISION-MAKING; FRAMEWORK; TRANSACTIONS; COST;
D O I：
10.3390/en13133465
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Distributed energy resource (DER) systems have elicited increasing attention and applications because of their excellent economic and environmental performance. However, uncertainties exist in such systems, preventing their potential advantages to be realized. In this study, an interval optimization-based model for the optimal design of DER systems is proposed, considering uncertainties in energy prices, renewable energy intensity, and load demands. Uncertainties are described as interval numbers, and the uncertain optimization model is transformed into a deterministic optimization problem using the order relationship and probability degree of interval numbers. The proposed model is applied to a typical hospital in Lianyungang, China, and its effectiveness is verified. One deterministic case and three uncertain cases are designed. The effects of uncertainties on system configuration and economic performance are also analyzed, and the optimal operation strategy under the three uncertainties is determined. A sensitivity analysis is conducted to analyze the effects of probability degree and weighting coefficient on total annual cost. Results show that uncertainties exert a cumulative effect on system optimization outcomes, and the proposed interval optimization model can obtain robust solutions to uncertainties.
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页数：18
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