Optimal Real-Time Operation Strategy for Microgrid: An ADP Based Stochastic Nonlinear Optimization Approach

Hang Shuai , Jiakun Fang, Xiaomeng Ai , Jinyu Wen, Haibo He

Research output: Contribution to journalJournal articleResearchpeer-review

31 Citations (Scopus)
222 Downloads (Pure)

Abstract

This paper proposes an approximate dynamic programming (ADP) based algorithm for the real-time operation of the microgrid under uncertainties. First, the optimal operation of the microgrid is formulated as a stochastic mixed-integer nonlinear programming (MINLP) problem, combining the ac power flow and the detailed operational character of the battery. For this NP-hard problem, the proposed ADP based energy management algorithm decomposes the original multitime periods MINLP problem into single-time period nonlinear programming problems. Thus, the sequential decisions can be made by solving Bellman's equation. Historical data is utilized offline to improve the optimality of the real-time decision, and the dependency on the forecast information is reduced. Comparative numerical simulations with several existing methods demonstrate the effectiveness and efficiency of the proposed algorithm.

Original languageEnglish
Article number8410037
JournalI E E E Transactions on Sustainable Energy
Volume10
Issue number2
Pages (from-to)931 - 942
Number of pages12
ISSN1949-3029
DOIs
Publication statusPublished - Apr 2019

Keywords

  • AC power flow
  • Approximate dynamic programming (ADP)
  • Batteries
  • Battery
  • Generators
  • Mathematical model
  • Microgrid
  • Microgrids
  • Optimization
  • Real-time optimization
  • Real-time systems
  • State of charge

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