Customer benefit optimization for residential PV with energy storage systems

Pavan Etha, Abdul Kashif Janjua, Visiting Scholar, Anil Chelladurai, Graduate Student, George G. Karady

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The paper reports a benefit analysis for residential photovoltaic (PV) system for customers particularly in the state of Arizona by conducting an optimum economic analysis for the PV-energy storage system, optimizing the use of energy storage device to maximize the profit and minimize utility bills in accordance with the tariffs and polices of the locality. Load forecasting has been done by using the weighted k-mean clustering technique on the basis of previous years' load, temperature and the forecasted temperature and a battery discharge technique is provided to reduce the peak demand charge.

Original languageEnglish (US)
Title of host publication2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PublisherIEEE Computer Society
Pages1-5
Number of pages5
ISBN (Electronic)9781538622124
DOIs
StatePublished - Jan 29 2018
Event2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States
Duration: Jul 16 2017Jul 20 2017

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2018-January
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Other

Other2017 IEEE Power and Energy Society General Meeting, PESGM 2017
CountryUnited States
CityChicago
Period7/16/177/20/17

Keywords

  • Battery discharging strategy
  • Demand Charge Component
  • Load Selection
  • Pay-back-period
  • Sizing of the PV - Battery System

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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  • Cite this

    Etha, P., Janjua, A. K., Scholar, V., Chelladurai, A., Student, G., & Karady, G. G. (2018). Customer benefit optimization for residential PV with energy storage systems. In 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 (pp. 1-5). (IEEE Power and Energy Society General Meeting; Vol. 2018-January). IEEE Computer Society. https://doi.org/10.1109/PESGM.2017.8274153