Optimal power flow with wind power control and limited expected risk of overloads

Line Roald, Göran Andersson, Sidhant Misra, Michael Chertkov, Scott Backhaus

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

12 Scopus citations

Abstract

Over the past years, the share of electricity production from wind power plants has increased to significant levels in several power systems across Europe and the United States. In order to cope with the fluctuating and partially unpredictable nature of renewable energy sources, transmission system operators (TSOs) have responded by requiring wind power plants to be capable of providing reserves or following active power set-point signals. This paper addresses the issue of efficiently incorporating these new types of wind power control in the day-ahead operational planning. We review the technical requirements the wind power plants must fulfill, and propose a mathematical framework for optimizing wind power control. The framework is based on an optimal power flow formulation with weighted chance constraints, which accounts for the uncertainty of wind power forecasts and allows us to limit the expected risk of constraint violations. In a case study based on the IEEE 118 bus system, we use the developed method to assess the effectiveness of different types of wind power control in terms of operational cost, system security and wind power curtailment.

Original languageEnglish (US)
Title of host publication19th Power Systems Computation Conference, PSCC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788894105124
DOIs
StatePublished - Aug 10 2016
Externally publishedYes
Event19th Power Systems Computation Conference, PSCC 2016 - Genova, Italy
Duration: Jun 20 2016Jun 24 2016

Publication series

Name19th Power Systems Computation Conference, PSCC 2016

Conference

Conference19th Power Systems Computation Conference, PSCC 2016
Country/TerritoryItaly
CityGenova
Period6/20/166/24/16

Keywords

  • Operational Planning
  • Probabilistic OPF
  • Renewables Integration
  • Reserves from Wind Power Plants

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology

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