TY - GEN
T1 - ADP based long-term renewable generation planning while considering the effects of hourly SCUC
AU - Chen, Zhi
AU - Wu, Lei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/10
Y1 - 2016/11/10
N2 - This paper proposes an Approximate Dynamic Programming (ADP) based approach for solving the long-term renewable generation expansion planning problem by considering the effects of hourly security-constrained unit commitment (SCUC). Compared with traditional approaches, the proposed approach can assist Independent System Operators (ISO) to determine the dynamic expansion for multiple years on the basis of current year information, hence it can reduce the computation burden from future states forecasting. The objective of the proposed long-term power system planning is to minimize the total costs of investment and operation for the base case with forecast values while considering variable cost from uncertainties. Numerical case studies on a 6-bus system illustrate the effectiveness of the proposed ADP based long-term planning model for the integration of renewable energy under various uncertainties.
AB - This paper proposes an Approximate Dynamic Programming (ADP) based approach for solving the long-term renewable generation expansion planning problem by considering the effects of hourly security-constrained unit commitment (SCUC). Compared with traditional approaches, the proposed approach can assist Independent System Operators (ISO) to determine the dynamic expansion for multiple years on the basis of current year information, hence it can reduce the computation burden from future states forecasting. The objective of the proposed long-term power system planning is to minimize the total costs of investment and operation for the base case with forecast values while considering variable cost from uncertainties. Numerical case studies on a 6-bus system illustrate the effectiveness of the proposed ADP based long-term planning model for the integration of renewable energy under various uncertainties.
KW - Approximate dynamic programming
KW - Power system planning
KW - Power system reliability
KW - Renewable resource integration
UR - http://www.scopus.com/inward/record.url?scp=85002188835&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85002188835&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2016.7741779
DO - 10.1109/PESGM.2016.7741779
M3 - Conference contribution
AN - SCOPUS:85002188835
T3 - IEEE Power and Energy Society General Meeting
BT - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016
T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Y2 - 17 July 2016 through 21 July 2016
ER -
