Optimal solar PV arrays integration for distributed generation

Research output: Contribution to conferencePaperpeer-review

Abstract

Solar photovoltaic (PV) systems hold great potential for distributed energy generation by installing PV panels on rooftops of residential and commercial buildings. Yet challenges arise along with the variability and non-dispatchability of the PV systems that affect the stability of the grid and the economics of the PV system. This paper investigates the integration of PV arrays for distributed generation applications by identifying a combination of buildings that will maximize solar energy output and minimize system variability. Particularly, we propose mean-variance optimization models to choose suitable rooftops for PV integration based on Markowitz mean-variance portfolio selection model. We further introduce quantity and cardinality constraints to result in a mixed integer quadratic programming problem. Case studies based on real data are presented. An efficient frontier is obtained for sample data that allows decision makers to choose a desired solar energy generation level with a comfortable variability tolerance level. Sensitivity analysis is conducted to show the tradeoffs between solar PV energy generation potential and variability.

Original languageEnglish
Pages558-566
Number of pages9
StatePublished - 2012
Event62nd IIE Annual Conference and Expo 2012 - Orlando, FL, United States
Duration: May 19 2012May 23 2012

Conference

Conference62nd IIE Annual Conference and Expo 2012
Country/TerritoryUnited States
CityOrlando, FL
Period05/19/1205/23/12

Keywords

  • Efficient frontier
  • Mean-variance optimization
  • Mean-variance portfolio
  • Mixed integer quadratic programming (MIQP)
  • Solar photovoltaic (PV) systems

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