Optimal Scheduling for Dispatchable Utility-Scale Solar PV Power with Battery-Supercapacitor Hybrid Energy Storage System

Pranoy Roy, Jiang Biao He, Yuan Liao

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

2 Scopus citations

Abstract

The optimal scheduling for dispatchable utility-scale solar PV power with a hybrid energy storage system consisting of a battery and a supercapacitor (SC) is investigated in this paper. The optimal capacity of the energy storage system (ESS) is assessed based on its usage of depth of discharge, which is critical for minimizing the cost of a dispatchable PV power scheme. The hybrid system can successfully dispatch the scheduled power at any dispatching horizon by leveraging the optimal ESS capacity. Both cycling and calendar expenses are taken into account during the cost optimization of the ESS to make it more practical. Furthermore, a state of charge (SOC) control technique based on a fuzzy inference system that takes into account both battery and SC SOC is used to accurately estimate the grid reference power for each dispatching horizon considered in this study.

Original languageEnglish
Title of host publication2022 IEEE Power and Energy Society General Meeting, PESGM 2022
ISBN (Electronic)9781665408233
DOIs
StatePublished - 2022
Event2022 IEEE Power and Energy Society General Meeting, PESGM 2022 - Denver, United States
Duration: Jul 17 2022Jul 21 2022

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2022-July
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Country/TerritoryUnited States
CityDenver
Period7/17/227/21/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Cost optimization
  • depth of discharge
  • hybrid energy storage system
  • power dispatch
  • solar power conversion

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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