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

doi:10.1109/PESGM.2014.6939104

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 proceeding › Conference contribution

9 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 language	English (US)
Title of host publication	2014 IEEE PES General Meeting / Conference and Exposition
Publisher	IEEE Computer Society
Edition	October
ISBN (Electronic)	9781479964154
DOIs	https://doi.org/10.1109/PESGM.2014.6939104
State	Published - Oct 29 2014
Event	2014 IEEE Power and Energy Society General Meeting - National Harbor, United States Duration: Jul 27 2014 → Jul 31 2014

Publication series

Name	IEEE Power and Energy Society General Meeting
Number	October
Volume	2014-October
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Other

Other	2014 IEEE Power and Energy Society General Meeting
Country/Territory	United States
City	National Harbor
Period	7/27/14 → 7/31/14

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

Access to Document

10.1109/PESGM.2014.6939104

Cite this

Guo, W., Liu, F., Mei, S., Si, J., He, D., & Harley, R. (2014). Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration. In 2014 IEEE PES General Meeting / Conference and Exposition (October ed.). Article 6939104 (IEEE Power and Energy Society General Meeting; Vol. 2014-October, No. October). IEEE Computer Society. https://doi.org/10.1109/PESGM.2014.6939104

Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration. / Guo, Wentao; Liu, Feng; Mei, Shengwei et al.
2014 IEEE PES General Meeting / Conference and Exposition. October. ed. IEEE Computer Society, 2014. 6939104 (IEEE Power and Energy Society General Meeting; Vol. 2014-October, No. October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Guo, W, Liu, F, Mei, S, Si, J, He, D & Harley, R 2014, Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration. in 2014 IEEE PES General Meeting / Conference and Exposition. October edn, 6939104, IEEE Power and Energy Society General Meeting, no. October, vol. 2014-October, IEEE Computer Society, 2014 IEEE Power and Energy Society General Meeting, National Harbor, United States, 7/27/14. https://doi.org/10.1109/PESGM.2014.6939104

Guo W, Liu F, Mei S, Si J, He D, Harley R. Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration. In 2014 IEEE PES General Meeting / Conference and Exposition. October ed. IEEE Computer Society. 2014. 6939104. (IEEE Power and Energy Society General Meeting; October). doi: 10.1109/PESGM.2014.6939104

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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.",

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AB - 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.

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

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Keywords

ASJC Scopus subject areas

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