Simulation of energy storage in a system with integrated wind resources

Yannick Degeilh, Justine Descloux, George Gross

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

Abstract

Utility-scale storage is key to providing the means of better harnessing wind energy potential. This paper proposes a probabilistic simulation approach capable of assessing - over longer time periods - the impacts of a utility scale storage unit on the economics and reliability of power systems with integrated wind resources. We deploy a snapshot-based simulation approach to account for the time dependencies of the load, wind power outputs and storage operation as well as their impacts on the utilization of the transmission resources as prescribed by the clearing mechanism of the hourly transmission-constrained day-ahead markets. We run Monte Carlo simulations in order to capture the uncertainty in thermal unit availabilities, the load and the wind power outputs. The methodology is able to represent the seasonal effects in loads and wind speeds, the impacts of maintenance scheduling and the ramifications of new policy initiatives. We illustrate the benefits of storage exploitation with several application studies run on the IEEE 118 test system. Results show that storage can effectively help reduce the overall buyer payments and improve system reliability by storing energy in the low load hours and discharging at peak hours, thereby displacing more expensive units.

Original languageEnglish (US)
Title of host publication17th Power Systems Computation Conference, PSCC 2011
PublisherPower Systems Computation Conference ( PSCC )
ISBN (Electronic)9789175012575
StatePublished - 2011
Event17th Power Systems Computation Conference, PSCC 2011 - Stockholm, Sweden
Duration: Aug 22 2011Aug 26 2011

Publication series

Name17th Power Systems Computation Conference, PSCC 2011

Other

Other17th Power Systems Computation Conference, PSCC 2011
Country/TerritorySweden
CityStockholm
Period8/22/118/26/11

Keywords

  • Locational marginal prices
  • Probabilistic simulations
  • Reliability
  • Transmission-constrained day ahead markets
  • Utility-scale storage integration
  • Wind resources integration

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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