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

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 language	English (US)
Title of host publication	IEEE Power and Energy Society General Meeting
Publisher	IEEE Computer Society
Volume	2014-October
Edition	October
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

Other

Other	2014 IEEE Power and Energy Society General Meeting
Country	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

Fingerprint Dive into the research topics of 'Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration'. Together they form a unique fingerprint.

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 IEEE Power and Energy Society General Meeting (October ed., Vol. 2014-October). [6939104] 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; Si, Jennie; He, Dawei; Harley, Ronald.

IEEE Power and Energy Society General Meeting. Vol. 2014-October October. ed. IEEE Computer Society, 2014. 6939104.

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 IEEE Power and Energy Society General Meeting. October edn, vol. 2014-October, 6939104, 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

@inproceedings{37ac95ab8fc446dc87499e3eebfc94ca,

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

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.",

keywords = "Approximate dynamic programming, frequency control, optimal adaptive control, renewable generation, supplementary control",

author = "Wentao Guo and Feng Liu and Shengwei Mei and Jennie Si and Dawei He and Ronald Harley",

year = "2014",

month = oct,

day = "29",

doi = "10.1109/PESGM.2014.6939104",

language = "English (US)",

volume = "2014-October",

booktitle = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

edition = "October",

note = "2014 IEEE Power and Energy Society General Meeting ; Conference date: 27-07-2014 Through 31-07-2014",

}

TY - GEN

T1 - Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration

AU - Guo, Wentao

AU - Liu, Feng

AU - Mei, Shengwei

AU - Si, Jennie

AU - He, Dawei

AU - Harley, Ronald

PY - 2014/10/29

Y1 - 2014/10/29

N2 - 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.

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.

KW - Approximate dynamic programming

KW - frequency control

KW - optimal adaptive control

KW - renewable generation

KW - supplementary control

UR - http://www.scopus.com/inward/record.url?scp=84931003373&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84931003373&partnerID=8YFLogxK

U2 - 10.1109/PESGM.2014.6939104

DO - 10.1109/PESGM.2014.6939104

M3 - Conference contribution

AN - SCOPUS:84931003373

VL - 2014-October

BT - IEEE Power and Energy Society General Meeting

PB - IEEE Computer Society

T2 - 2014 IEEE Power and Energy Society General Meeting

Y2 - 27 July 2014 through 31 July 2014

ER -