Cost Optimization of Battery and Supercapacitor Hybrid Energy Storage System for Dispatching Solar PV Power

Pranoy Roy, Jiang Biao He, Yuan Liao

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

2 Scopus citations

Abstract

This paper aims to optimize the cost of a battery and supercapacitor hybrid energy storage system (HESS) for dispatching solar power at one-hour increments for an entire day for megawatt-scale grid-connected photovoltaic (PV) arrays. A low-pass filter (LPF) is utilized to allocate the power between a battery and a supercapacitor (SC). The cost optimization of the HESS is calculated based on the time constant of the LPF through extensive simulations in a MATLAB/SIMULINK environment. Curve fitting and Particle Swarm Optimization (PSO) techniques are implemented to seek the optimum value of the LPF time constant. A fuzzy logic controller as a function of battery state of charge is developed to estimate the grid reference power for each one-hour dispatching period. Since the ambient temperature and PV cell temperature are different, this study also considers the relationship between them and presents their effects on energy storage cost calculations.

Original languageEnglish
Title of host publicationECCE 2020 - IEEE Energy Conversion Congress and Exposition
Pages561-568
Number of pages8
ISBN (Electronic)9781728158266
DOIs
StatePublished - Oct 11 2020
Event12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States
Duration: Oct 11 2020Oct 15 2020

Publication series

NameECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/TerritoryUnited States
CityVirtual, Detroit
Period10/11/2010/15/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • cost analysis
  • hourly dispatching
  • hybrid energy storage system
  • particle swarm optimization
  • solar energy conversion

ASJC Scopus subject areas

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

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