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
N1 - Publisher Copyright:
© 2014 IEEE.
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
T3 - IEEE Power and Energy Society General Meeting
BT - 2014 IEEE PES General Meeting / Conference and Exposition
PB - IEEE Computer Society
T2 - 2014 IEEE Power and Energy Society General Meeting
Y2 - 27 July 2014 through 31 July 2014
ER -