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Optimal Operation of Microgrid with Energy Storage Considering the Energy-Loss Rate

  • Ye Tang
  • , Qiaozhu Zhai
  • , Yuzhou Zhou
  • , Jiexing Zhao
  • , Zhihan Han
  • Xi'an Jiaotong University

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

Abstract

Nonanticipativity and multi-stage robustness are two important requirements that directly determine the feasibility of the multi-stage scheduling problem of microgrid (MG) with energy storage (ES) and renewables. To this end, this paper proposes a novel method for MG with ES considering the use-independent energy-loss rate, which can guarantee nonanticipativity and multi-stage robustness simultaneously. Firstly, the mathematical economic dispatch model considering the use-independent energy-loss rate is established. Secondly, the feasible regions for the variables are given based on the analysis of the constraints' structure, which is the necessary and sufficient condition for the feasible solutions. Thirdly, with the feasible regions, a single-level multi-stage robust method is proposed to directly determine the real-time decisions, where only maximum and minimum scenarios are needed to determine the feasibility and finite representative scenarios are considered to improve the economy. Numerical tests implemented on a real MG system verify the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023
PublisherIEEE Computer Society
ISBN (Electronic)9798350320695
DOIs
StatePublished - 2023
Event19th IEEE International Conference on Automation Science and Engineering, CASE 2023 - Auckland, New Zealand
Duration: 26 Aug 202330 Aug 2023

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2023-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference19th IEEE International Conference on Automation Science and Engineering, CASE 2023
Country/TerritoryNew Zealand
CityAuckland
Period26/08/2330/08/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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