Optimal sizing of photovoltaic-wind hybrid system for community living environment and smart grid interaction

Mohammad B. Shadmand, Mehran Mirjatari, Robert Balog

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

2 Citations (Scopus)

Abstract

With the depletion of fossil fuels and skyrocketing levels of CO2 in the atmosphere, renewable energy sources continue to gain popularity as a long-term sustainable energy source. However, two major limitations exist that prevent widespread adoption: variability of electricity generated and cost of the equipment needed. A grid-tied photovoltaic (PV) / wind hybrid system with battery back-up can help mitigate the variability of a single source. PV and wind generation are both time dependent and variable but have a high degree of correlation, which makes them ideal for a dual-sourced PV-Wind hybrid energy system. This paper presents an optimization technique base on particle swarm optimization (PSO) which uses high temporal resolution insolation data taken at 10 second data rate instead of the more commonly used hourly data rate. When analyzed over an entire year, the increased temporal resolution data has been shown to minimize the sizing of the PV and required storage capacity compared to optimization techniques that only use hourly-sampled date. The result is a minimized baseline cost to meet supply requirements of the loads. The Life Cycle Costing with payback time and Levelized Cost of Energy (LCOE) with Net Metering are provided as part of the economics.

Original languageEnglish
Title of host publication2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5545-5552
Number of pages8
Volume2017-January
ISBN (Electronic)9781509029983
DOIs
Publication statusPublished - 3 Nov 2017
Event9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017 - Cincinnati, United States
Duration: 1 Oct 20175 Oct 2017

Other

Other9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017
CountryUnited States
CityCincinnati
Period1/10/175/10/17

    Fingerprint

ASJC Scopus subject areas

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

Cite this

Shadmand, M. B., Mirjatari, M., & Balog, R. (2017). Optimal sizing of photovoltaic-wind hybrid system for community living environment and smart grid interaction. In 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017 (Vol. 2017-January, pp. 5545-5552). [8096924] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2017.8096924