Model Predictive Control of Wind Energy Storage System for Frequency Regulation

Muhammad Khalid, Andrey V. Savkin

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations


This paper presents a method to regulate the power frequency at a nominal value using a battery energy storage system (BESS). A control system model is proposed to simulate the BESS for frequency control application. A controller based on model predictive control (MPC) is designed for the optimal operation of the BESS for primary frequency regulation. A frequency prediction model based on Grey theory is also designed to optimize the performance of our controller. The method is tested using real measurements from a real power grid in the presence of multiple and realistic physical system constraints. The effectiveness of the proposed frequency regulation scheme is demonstrated with a simulation example.

Original languageEnglish
Title of host publicationSustainability in Energy and Buildings
Subtitle of host publicationResults of the Second International Conference onSustainability in Energy and Buildings (SEB'10)
EditorsJain Lakhmi, Howlett Robert, Lee Shaun
Number of pages10
StatePublished - 2011
Externally publishedYes

Publication series

NameSmart Innovation, Systems and Technologies
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

ASJC Scopus subject areas

  • General Decision Sciences
  • General Computer Science


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