Renewable Energy Consumption Assessment based on Energy Storage System and its Dispatch Flexibility

Ye Tian, Liang Wang, Ziyan Li, Liang Li, Hongyuan Yu

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

Abstract

With the increase of the penetration rate of renewable energy in the power system, large-scale abandonment of wind and solar has become an important problem that plagues the development of the power system. In this paper, based on the analysis of the operating characteristics of the power system, a mathematical model is established for various conventional power generation components and energy storage systems, which includes pumped storage power stations and electrochemical energy storage systems. In order to avoid the invalid circulation of renewable energy in the energy storage system, the consistency constraint of the working state of the energy storage system in the whole region is established. Finally, considering the scheduling flexibility of the energy storage system, a short-term time series production simulation is carried out. Taking desensitized data in a certain place in northern our country as an example, the consumption of renewable energy is simulated, and it is found that the introduction of energy storage system can effectively reduce the amount of discarded renewable energy. And as the dispatch flexibility factor increases, the amount of renewable energy discarded gradually decreases.

Original languageEnglish
Title of host publicationProceedings of the 41st Chinese Control Conference, CCC 2022
EditorsZhijun Li, Jian Sun
PublisherIEEE Computer Society
Pages5300-5305
Number of pages6
ISBN (Electronic)9789887581536
DOIs
Publication statusPublished - 2022
Event41st Chinese Control Conference, CCC 2022 - Hefei, China
Duration: 25 Jul 202227 Jul 2022

Publication series

NameChinese Control Conference, CCC
Volume2022-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference41st Chinese Control Conference, CCC 2022
Country/TerritoryChina
CityHefei
Period25/07/2227/07/22

Keywords

  • Energy storage system
  • Power System
  • Renewable Energy
  • Time series production simulation

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