Optimal distributed energy storage investment scheme for distribution network accommodating high renewable penetration

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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)


To counterbalance the significant challenges imposed by renewable distributed generations penetration, this paper discusses the need of distributed energy storage system investment in distribution networks and proposes a robust optimization based storage investment model. The operational constraints of distribution network (e.g., voltage profile and substation capacity limitation) and storage device (e.g., state of energy and charging/discharging limit) are considered to guarantee the technical operation requirements. The proposed model is mathematically formulated as a two-stage robust optimization with uncertainty of renewable distributed generator that is quantified by a polyhedral uncertainty set. The investment-decision variables are optimized in the first stage, and the feasibility in the real-time worst-case scenario is checked in the second stage. A column-and-constraint generation (C&CG) algorithm and the big-M linearization method are employed to solve the associated optimization problem. Numerical experiments on IEEE-37-node and IEEE-123-node distribution networks demonstrate the effectiveness of the proposed model.

Original languageEnglish
Article numbere12002
JournalInternational Transactions on Electrical Energy Systems
Issue number7
Publication statusPublished - Jul 2019


  • distribution network
  • energy storage system
  • solar energy
  • uncertainty set
  • voltage profile
  • wind power

ASJC Scopus subject areas

  • Modelling and Simulation
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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