Optimal Siting and Sizing of Energy Storage System for Power Systems with Large-scale Wind Power Integration

Haoran Zhao, Qiuwei Wu, Shaojun Huang, Qinglai Guo, Hongbin Sun, Yusheng Xue

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    1649 Downloads (Pure)

    Abstract

    This paper proposes algorithms for optimal sitingand sizing of Energy Storage System (ESS) for the operationplanning of power systems with large scale wind power integration.The ESS in this study aims to mitigate the wind powerfluctuations during the interval between two rolling EconomicDispatches (EDs) in order to maintain generation-load balance.The charging and discharging of ESS is optimized consideringoperation cost of conventional generators, capital cost of ESSand transmission losses. The statistics from simulated systemoperations are then coupled to the planning process to determinethe optimal siting and sizing of storage units throughoutthe network. These questions are investigated using an IEEE benchmark system
    Original languageEnglish
    Title of host publicationProceedings of 2015 IEEE PowerTech.
    Number of pages6
    PublisherIEEE
    Publication date2015
    ISBN (Print)9781479976935
    DOIs
    Publication statusPublished - 2015
    Event2015 IEEE Eindhoven PowerTech - Eindhoven, Netherlands
    Duration: 29 Jun 20152 Jul 2015
    https://powertech2015-eindhoven.tue.nl/
    https://ieeexplore.ieee.org/xpl/conhome/7210291/proceeding

    Conference

    Conference2015 IEEE Eindhoven PowerTech
    Country/TerritoryNetherlands
    CityEindhoven
    Period29/06/201502/07/2015
    Internet address

    Keywords

    • Wind power
    • ESS
    • Optimal siting
    • Optimal sizing

    Fingerprint

    Dive into the research topics of 'Optimal Siting and Sizing of Energy Storage System for Power Systems with Large-scale Wind Power Integration'. Together they form a unique fingerprint.

    Cite this