Impacts of large-scale photovoltaic generation penetration on power system spinning reserve allocation

Jian Zhao, Can Wan, Zhao Xu, Jiayong Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)


With increasingly widespread utilization of photovoltaic (PV) systems, the stochastic characteristics of the PV generation may bring new challenges to security and reliability of the power system operation. This paper proposes a novel spinning reserve requirement optimization model considering the impacts of large-scale photovoltaic generation penetration. The effects of forecast error of PV generation output on the energy not supplied are taken into account in the proposed model. The power system spinning reserve is optimized using a benefit/cost analysis approach to coordinate the costs of generation operation, and the costs of the expected energy not supplied (EENS). The proposed model is illustrated using IEEE reliability test system (RTS-96). Numerical results systematically demonstrate the increase of scheduled spinning reserve and the reduction of EENS via the application of the proposed model. The penetration levels of PV generation in power systems are symmetrically analyzed for future implementation of the proposed model.
Original languageEnglish
Title of host publication2016 IEEE Power and Energy Society General Meeting, PESGM 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781509041688
Publication statusPublished - 10 Nov 2016
Event2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States
Duration: 17 Jul 201621 Jul 2016


Conference2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/TerritoryUnited States


  • Expected energy not supplied
  • Forecast error
  • Photovoltaic generation
  • Spinning reserve

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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