TY - GEN
T1 - A new approach for frequency based short-term reliability for a power system
AU - Agyeman, Kofi Afrifa
AU - Han, Sekyung
AU - Umezawa, Ryota
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - In this work, we provide a completely new approach for a short-term power system reliability that can be utilized for system operation planning. The proposed index incorporates the system frequency as a reliability of the grid and its deviation over a short time period. Although frequency performance is often employed as a quality metric for the past system operation, our model can address the future system condition by forecasting the statistics of the system frequency for a specific operation condition. In our model, demand, renewable source, battery and generators are stochastically incorporated. Using the equilibrium of demand and supply, and the physical constraints of automatic generation control (AGC), a model is developed, from which the system frequency distribution is obtained. From the contrived system frequency, statistical function, referred to herein as Frequency Reliability Distribution Function (FRDF), is proposed from which various criteria could be developed for short-term reliability. The developed FRDF along with the pertaining metrics are utilized for some case studies with IEEE reliability test system.
AB - In this work, we provide a completely new approach for a short-term power system reliability that can be utilized for system operation planning. The proposed index incorporates the system frequency as a reliability of the grid and its deviation over a short time period. Although frequency performance is often employed as a quality metric for the past system operation, our model can address the future system condition by forecasting the statistics of the system frequency for a specific operation condition. In our model, demand, renewable source, battery and generators are stochastically incorporated. Using the equilibrium of demand and supply, and the physical constraints of automatic generation control (AGC), a model is developed, from which the system frequency distribution is obtained. From the contrived system frequency, statistical function, referred to herein as Frequency Reliability Distribution Function (FRDF), is proposed from which various criteria could be developed for short-term reliability. The developed FRDF along with the pertaining metrics are utilized for some case studies with IEEE reliability test system.
KW - reliability index
KW - renewable energy
KW - smart grid
KW - Spinning reserve
KW - system frequency control
UR - http://www.scopus.com/inward/record.url?scp=85015178056&partnerID=8YFLogxK
U2 - 10.1109/PMAPS.2016.7764182
DO - 10.1109/PMAPS.2016.7764182
M3 - Conference contribution
AN - SCOPUS:85015178056
T3 - 2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 - Proceedings
BT - 2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016
Y2 - 16 October 2016 through 20 October 2016
ER -