Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration

Wentao Guo, Feng Liu, Shengwei Mei, Jennie Si, Dawei He, Ronald Harley

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

7 Scopus citations

Abstract

Intermittent electricity generation from renewable sources is characterized by a wide range of fluctuations in frequency spectrum. The medium-frequency component of 0.01 Hz-1 Hz cannot be filtered out by system inertia and automatic generation control (AGC) and thus it results in deterioration of frequency quality. In this paper, an approximate dynamic programming (ADP) based supplementary frequency controller for thermal generators is developed to attenuate renewable generation fluctuation in medium-frequency range. A policy iteration based training algorithm is employed for online and model-free learning. Our simulation results demonstrate that the proposed supplementary frequency controller can effectively adapt to changes in the system and provide improved frequency control. Further sensitivity analysis validates that the supplementary frequency controller significantly attenuates the dependence of frequency deviation on the medium-frequency component of renewable generation fluctuation.

Original languageEnglish (US)
Title of host publicationIEEE Power and Energy Society General Meeting
PublisherIEEE Computer Society
Volume2014-October
EditionOctober
DOIs
StatePublished - Oct 29 2014
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: Jul 27 2014Jul 31 2014

Other

Other2014 IEEE Power and Energy Society General Meeting
CountryUnited States
CityNational Harbor
Period7/27/147/31/14

Keywords

  • Approximate dynamic programming
  • frequency control
  • optimal adaptive control
  • renewable generation
  • supplementary control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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