Allocation of Hourly Reserve Versus Demand Response for Security-Constrained Scheduling of Stochastic Wind Energy

Sahin C., Shahidehpour M., ERKMEN İ.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, vol.4, no.1, pp.219-228, 2013 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 4 Issue: 1
  • Publication Date: 2013
  • Doi Number: 10.1109/tste.2012.2213849
  • Journal Name: IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.219-228
  • Keywords: Demand response, hourly reserves, load and wind forecast errors, random contingencies, stochastic security-constrained unit commitment (SCUC), wind energy, UNIT COMMITMENT, POWER
  • Middle East Technical University Affiliated: Yes

Abstract

This paper presents a stochastic method for the hourly scheduling of optimal reserves when the hourly forecast errors of wind energy and load are considered. The approach utilizes the stochastic security-constrained unit commitment (SCUC) model and a two-stage stochastic programming for the day-ahead scheduling of wind energy and conventional units with N - 1 contingencies. The effect of aggregated hourly demand (DR) response is considered as a means of mitigating transmission violations when uncertainties are considered. The proposed mixed-integer programming (MIP) model applies the Monte Carlo method for representing the hourly wind energy and system load forecast errors. A 6-bus, 118-bus, and the Northwest region of Turkish electric power network are considered to demonstrate the effectiveness of the proposed day-ahead stochastic scheduling method in power systems.