Model Predictive Control Based Ramp Minimization in Active Distribution Network Using Energy Storage Systems

Jiayong Li, Zhao Xu, Jian Zhao, Songjian Chai, Yi Yu, Xu Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


The growing integration of renewable energy sources, especially the residential photovoltaic (PV) systems, in the distribution networks (DNs) aggravates the ramp-events in transmission system. To address this issue, we propose a novel look ahead dispatch model for the ramp minimization in DNs using distributed energy storage systems (ESSs). The dispatch problem considering the scheduling of ESSs is modeled as a finite-horizon optimization problem and is carried out using model predictive control (MPC) method that takes both current and future information into account. In addition, the optimal power flow in DN is formulated as a second-order cone programing problem to guarantee the global optimality. Numerical results on IEEE 37-bus distribution network show that our proposed model not only brings about 74% reduction of maximum ramp but also yields the near-minimum system operating cost.

Original languageEnglish
Pages (from-to)201-211
Number of pages11
JournalElectric Power Components and Systems
Issue number3
Publication statusPublished - 7 Feb 2019


  • active distribution network
  • energy storage system
  • model predictive control
  • photovoltaic systems
  • ramp-event

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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