Microgrid dispatch and price of reliability using stochastic approximation

Luis M. Lopez-Ramos, Vassilis Kekatos, Antonio G. Marques, Georgios B. Giannakis

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

3 Scopus citations

Abstract

When properly operated, microgrids can facilitate the integration of stochastic renewable energy without compromising service reliability. However, in the context of multi-stage dispatching, finding the optimal day-ahead energy procurement that accounts for the variability of real-time operation is a computationally challenging task. This paper develops a computationally efficient two-stage economic dispatch scheme for a microgrid that exchanges energy with an external power system. The scheme is designed to minimize the generation and energy exchange costs, while setting limits on the microgrid-wide expected load not served. The day-ahead variables, which are the solution to the first stage, are found using a stochastic approximation saddle-point algorithm. The proposed algorithm is asymptotically convergent and can be efficiently implemented upon drawing samples from the distribution of the real-time state variables (wind energy, demand, and energy prices). Numerical tests using the IEEE 14-bus power system benchmark verify that the proposed scheme outperforms all other tested alternatives, even for very high wind power penetration.

Original languageEnglish (US)
Title of host publication2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1131-1135
Number of pages5
ISBN (Electronic)9781479975914
DOIs
StatePublished - Feb 23 2016
EventIEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 - Orlando, United States
Duration: Dec 13 2015Dec 16 2015

Publication series

Name2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015

Other

OtherIEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
CountryUnited States
CityOrlando
Period12/13/1512/16/15

Keywords

  • Smart microgrids
  • dual subgradient
  • saddle-point problem
  • stochastic approximation

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