TY - GEN
T1 - Influence of Wind Power Forecasts on Equitable Distribution Method of Wind Power Curtailment
AU - Iioka, Daisuke
AU - Saitoh, Hiroumi
N1 - Funding Information:
ACKNOWLEDGMENT This presentation is based on results obtained from a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO).
Publisher Copyright:
© 2018 IEEJ Industry Application Society.
PY - 2018/10/22
Y1 - 2018/10/22
N2 - The aim of this work is the investigation of influence of wind farm area on the equitable distribution of minimized curtailment obtained by the optimization problem which calculates the curtailment plan for the wind farms interconnected to the power grid. 3-area wind power profiles has been applied to the optimization problem, so that the annual simulation from April 2014 to March 2015 could be carried out. The equitability of curtailment for wind farms has been assessed by the variation of energy loss of wind farms by the curtailment. It was found that the variation of energy loss of wind farms obtained by the curtailment plan for the next day and the current day doesn't depend on the area of wind farms and the capacity of wind farms. The simulation results demonstrated the versatility of the proposed algorithm for the curtailment in spite of the difference of area of wind farms.
AB - The aim of this work is the investigation of influence of wind farm area on the equitable distribution of minimized curtailment obtained by the optimization problem which calculates the curtailment plan for the wind farms interconnected to the power grid. 3-area wind power profiles has been applied to the optimization problem, so that the annual simulation from April 2014 to March 2015 could be carried out. The equitability of curtailment for wind farms has been assessed by the variation of energy loss of wind farms by the curtailment. It was found that the variation of energy loss of wind farms obtained by the curtailment plan for the next day and the current day doesn't depend on the area of wind farms and the capacity of wind farms. The simulation results demonstrated the versatility of the proposed algorithm for the curtailment in spite of the difference of area of wind farms.
KW - curtailment
KW - optimization problem
KW - over supply of electricity
KW - wind power
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U2 - 10.23919/IPEC.2018.8507688
DO - 10.23919/IPEC.2018.8507688
M3 - Conference contribution
AN - SCOPUS:85057320476
T3 - 2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
SP - 2278
EP - 2282
BT - 2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
Y2 - 20 May 2018 through 24 May 2018
ER -