Revenue maximization of electricity generation for a wind turbine integrated with a Compressed Air Energy Storage system

Mohsen Saadat, Farzad A. Shirazi, Perry Y. Li

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

7 Scopus citations

Abstract

A high-level supervisory controller is developed for a Compressed Air Energy Storage (CAES) system integrated with a wind turbine. Complementary to the low-level controllers in our previous works to track generator power and pressure, this controller coordinates different subsystems to optimize the system performance. The control strategy is obtained by solving an optimal storage/regeneration problem in order to maximize the achievable total revenue from selling electricity to the electric grid. Dynamic Programming (DP) approach is used to solve the corresponding optimal control problem that accounts for all the major losses in the CAES system as well as its nonlinear dynamics. Results show that an increase of 51% in total revenue is achievable by using the CAES system for a conventional wind turbine. Furthermore, a case study has been conducted to investigate the effect of storage system sizing on the maximum revenue.

Original languageEnglish (US)
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1560-1565
Number of pages6
ISBN (Print)9781479932726
DOIs
StatePublished - 2014
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: Jun 4 2014Jun 6 2014

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2014 American Control Conference, ACC 2014
CountryUnited States
CityPortland, OR
Period6/4/146/6/14

Keywords

  • Fluid power control
  • Optimal control
  • Optimization

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  • Cite this

    Saadat, M., Shirazi, F. A., & Li, P. Y. (2014). Revenue maximization of electricity generation for a wind turbine integrated with a Compressed Air Energy Storage system. In 2014 American Control Conference, ACC 2014 (pp. 1560-1565). [6859445] (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2014.6859445