TY - GEN
T1 - Multiple resource expansion planning in smart grids with high penetration of renewable generation
AU - Cao, Yang
AU - He, Miao
AU - Wang, Zhiqiang
AU - Jiang, Tao
AU - Zhang, Junshan
PY - 2012
Y1 - 2012
N2 - We study joint expansion planning of conventional generation capacity, wind generation capacity and tie line capacity in a multi-area smart grid system. Specifically, we formulate the expansion planning problem as a two-stage stochastic programming problem: 1) in the first stage, resource expansion plans are made to minimize the expected overall cost throughout the entire planning horizon; 2) in the second stage, given the realization of load and wind generation in hourly scheduling slots, optimal scheduling decisions of power flows are found by minimizing the cost incurred by conventional generation and/or loss of load, which is used to compute the expected operation cost and/or loss of load cost as part of the cost in the first stage. In particular, the optimal solution to the resource expansion planning problem is obtained using the L-shaped algorithm. The simulation results of several case studies indicate that the optimal expansion plans for a multi-area smart grid indeed depend on the uncertainty level of prospective wind generation, the existing generation capacity and the transmission capacity.
AB - We study joint expansion planning of conventional generation capacity, wind generation capacity and tie line capacity in a multi-area smart grid system. Specifically, we formulate the expansion planning problem as a two-stage stochastic programming problem: 1) in the first stage, resource expansion plans are made to minimize the expected overall cost throughout the entire planning horizon; 2) in the second stage, given the realization of load and wind generation in hourly scheduling slots, optimal scheduling decisions of power flows are found by minimizing the cost incurred by conventional generation and/or loss of load, which is used to compute the expected operation cost and/or loss of load cost as part of the cost in the first stage. In particular, the optimal solution to the resource expansion planning problem is obtained using the L-shaped algorithm. The simulation results of several case studies indicate that the optimal expansion plans for a multi-area smart grid indeed depend on the uncertainty level of prospective wind generation, the existing generation capacity and the transmission capacity.
UR - http://www.scopus.com/inward/record.url?scp=84876063132&partnerID=8YFLogxK
U2 - 10.1109/SmartGridComm.2012.6486045
DO - 10.1109/SmartGridComm.2012.6486045
M3 - Conference contribution
AN - SCOPUS:84876063132
SN - 9781467309110
T3 - 2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
SP - 564
EP - 569
BT - 2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
T2 - 2012 IEEE 3rd International Conference on Smart Grid Communications, SmartGridComm 2012
Y2 - 5 November 2012 through 8 November 2012
ER -