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

by 1,2,3, 1,2,3,* and 1,2,3
1
Key Laboratory of Advanced Energy and Power, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
2
School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China
3
Research Center for Clean Energy and Power, Chinese Academy of Sciences, Lianyungang 222069, China
*
Author to whom correspondence should be addressed.
Energies 2020, 13(13), 3465; https://doi.org/10.3390/en13133465
Received: 30 May 2020 / Revised: 25 June 2020 / Accepted: 2 July 2020 / Published: 4 July 2020
(This article belongs to the Special Issue Circular Economy and Renewable Energy Technologies and Systems)
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. View Full-Text
Keywords: distributed energy resource; optimal design; interval optimization; uncertainty; operation optimization distributed energy resource; optimal design; interval optimization; uncertainty; operation optimization
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MDPI and ACS Style

Li, D.; Zhang, S.; Xiao, Y. Interval Optimization-Based Optimal Design of Distributed Energy Resource Systems under Uncertainties. Energies 2020, 13, 3465. https://doi.org/10.3390/en13133465

AMA Style

Li D, Zhang S, Xiao Y. Interval Optimization-Based Optimal Design of Distributed Energy Resource Systems under Uncertainties. Energies. 2020; 13(13):3465. https://doi.org/10.3390/en13133465

Chicago/Turabian Style

Li, Da, Shijie Zhang, and Yunhan Xiao. 2020. "Interval Optimization-Based Optimal Design of Distributed Energy Resource Systems under Uncertainties" Energies 13, no. 13: 3465. https://doi.org/10.3390/en13133465

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