Co-Planning of Demand Response and Distributed Generators in an Active Distribution Network

Yi Yu, Xishan Wen, Jian Zhao, Zhao Xu and Jiayong Li
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Yi Yu: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Xishan Wen: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Jian Zhao: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Zhao Xu: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Jiayong Li: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Energies, 2018, vol. 11, issue 2, 1-18

Abstract: The integration of renewables is fast-growing, in light of smart grid technology development. As a result, the uncertain nature of renewables and load demand poses significant technical challenges to distribution network (DN) daily operation. To alleviate such issues, price-sensitive demand response and distributed generators can be coordinated to accommodate the renewable energy. However, the investment cost for demand response facilities, i.e., load control switch and advanced metering infrastructure, cannot be ignored, especially when the responsive demand is large. In this paper, an optimal coordinated investment for distributed generator and demand response facilities is proposed, based on a linearized, price-elastic demand response model. To hedge against the uncertainties of renewables and load demand, a two-stage robust investment scheme is proposed, where the investment decisions are optimized in the first stage, and the demand response participation with the coordination of distributed generators is adjusted in the second stage. Simulations on the modified IEEE 33-node and 123-node DN demonstrate the effectiveness of the proposed model.

Keywords: demand response; solar energy; wind power; uncertainties; distributed generator; active distribution network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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