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 | |
| 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 |
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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
Cite this
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
}
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
ER -