Economic Analysis for Hourly Dispatching Wind Energy Power Using Battery and Supercapacitor Hybrid Energy Storage System

Pranoy Roy, Jiang Biao He

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

1 Scopus citations

Abstract

This paper aims to optimize the expenditure of a hybrid energy storage system that includes a battery and supercapacitor (SC) for economical dispatching wind power at one-hour increments for an entire day for a megawatt-scale grid-connected wind turbine system. The frequency management technique is employed to exploit the technical merits of the two-energy storage apparatus and to optimally allocate the power flow between two storages to dispatch a committed pre-determined constant power into the grid. The cost optimization of the HESS is computed based on the time constant of the low pass filter (LPF) through extensive simulations in a MATLAB/SIMULINK environment, and a Contemporary Particle Swarm Optimization (CPSO) approach is implemented to seek the optimum value of the LPF time constant. Moreover, a state of charge (SOC) control algorithm based on a fuzzy inference system considering both battery and SC SOC is proposed in this study to accurately estimate the grid reference power for each one-hour dispatching period. This research also demonstrates an economic comparison to investigate the impact of utilizing different kinds of energy storage for hourly dispatching wind power. The simulation results exhibit that the presented HESS is superior to a battery or SC-only operation.

Original languageEnglish
Title of host publication2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
Pages3630-3637
Number of pages8
ISBN (Electronic)9781728151359
DOIs
StatePublished - 2021
Event13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Virtual, Online, Canada
Duration: Oct 10 2021Oct 14 2021

Publication series

Name2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

Conference

Conference13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Country/TerritoryCanada
CityVirtual, Online
Period10/10/2110/14/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Cost analysis
  • contemporary particle swarm optimization
  • hybrid energy storage system
  • power dispatch
  • wind energy conversion system

ASJC Scopus subject areas

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

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