An Energy Management Method for a Microgrid Group Considering Uncertainty Models

Panbao Wang, Lingling Tan, Xiaochen Zhang, Wei Wang, Dianguo Xu

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

Abstract

With the rapid development of microgrid (MG) technology, the microgrids in a certain area interconnect and constitute a microgrid group, which can mutually supply each other to meet regional power supply requirements. Uncertain factors such as wind speed, light intensity and load affect the operation of the microgrid group. This paper proposes a microgrid group energy management method that considers uncertainty. According to the probability density function of the wind speed, light intensity and the load, the uncertainty model of wind turbine (WT) output, photovoltaic (PV) output and load is derived, and the more realistic prediction value is obtained by the uncertainty model. First, the energy trade between the microgrids. Then, by using multi-time scale technique, the day-ahead scheduling plan is determined based on the predicted data, and on top of that, the plan is optimized based on the latest data. The particle swarm optimization (PSO) is used to minimize the operating costs of the microgrid group. The effectiveness of the proposed energy management method is verified by case simulation.

Original languageEnglish
Title of host publication2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728133980
DOIs
Publication statusPublished - Aug 2019
Externally publishedYes
Event22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China
Duration: 11 Aug 201914 Aug 2019

Publication series

Name2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/TerritoryChina
CityHarbin
Period11/08/1914/08/19

Keywords

  • energy management
  • energy trading
  • microgrid group
  • uncertainty

ASJC Scopus subject areas

  • Control and Optimization
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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