Distributed Algorithm for Stochastic Energy Management with Non-convex Constraint

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A predictable distributed algorithm is proposed to solve the stochastic energy management problem of a microgrid system with renewable energy under real-time price schemes. System uncertainties, including wind power and load, are modeled as two-dimension policy-based structure to response from the deviation of the realized and expectation value. Due to the randomness of the uncertainties, a chance constraint on energy balance is considered which allows the mismatch of supply and demand to fluctuate in an acceptable range. The numerical experiments are provided and the effectiveness of the proposed algorithm is analyzed. According to the simulation results, the probabilistic energy balance is guaranteed and the proposed algorithm with two-dimension model has better economic performance or shorter operation time comparing to other algorithms.

Original languageEnglish
Title of host publicationProceedings of the 40th Chinese Control Conference, CCC 2021
EditorsChen Peng, Jian Sun
PublisherIEEE Computer Society
Pages6862-6867
Number of pages6
ISBN (Electronic)9789881563804
DOIs
Publication statusPublished - 26 Jul 2021
Event40th Chinese Control Conference, CCC 2021 - Shanghai, China
Duration: 26 Jul 202128 Jul 2021

Publication series

NameChinese Control Conference, CCC
Volume2021-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference40th Chinese Control Conference, CCC 2021
Country/TerritoryChina
CityShanghai
Period26/07/2128/07/21

Keywords

  • Microgrid system
  • distributed optimization algorithm
  • energy management
  • predictive control

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