Co-planning of demand response and distributed generators in an active distribution network

Yi Yu, Xishan Wen, Jian Zhao, Zhao Xu, Jiayong Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


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.

Original languageEnglish
Article number354
Issue number2
Publication statusPublished - Feb 2018


  • Active distribution network
  • Demand response
  • Distributed generator
  • Solar energy
  • Uncertainties
  • Wind power

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering


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