TY - GEN
T1 - Optimal capacity allocation in different markets for generation companies employing the mean-lower partial moments model
AU - Yan, Yong
AU - Wen, Fushuan
AU - Huang, Jiansheng
PY - 2009
Y1 - 2009
N2 - ![CDATA[In the power industry deregulation era, an power supplier needs to optimal allocate its generation capacities for participating in different markets in order to maximize the return while control the risk of receiving the minimum profit below a certain level. This paper, based on a thorough analysis on the asset allocation problem of power suppliers, performs such an optimization using the proposed mean-return lower partial moment (LPM) model with risk-free asset. According to the theories of expected utility, stochastic dominance and return-risk model, a LPM of 2th Order (LPM2) is a third order stochastic dominance (TSD) method while the conventional measures, such as variance, value at risk (VAR) and conditional VAR (CVAR), at most correspond to second order stochastic dominance (SSD). Therefore, the utility function formulated by the LPM2 can reflect an investor's mental process. The proposed model was verified by a numerical study using the PJM real market data.]]
AB - ![CDATA[In the power industry deregulation era, an power supplier needs to optimal allocate its generation capacities for participating in different markets in order to maximize the return while control the risk of receiving the minimum profit below a certain level. This paper, based on a thorough analysis on the asset allocation problem of power suppliers, performs such an optimization using the proposed mean-return lower partial moment (LPM) model with risk-free asset. According to the theories of expected utility, stochastic dominance and return-risk model, a LPM of 2th Order (LPM2) is a third order stochastic dominance (TSD) method while the conventional measures, such as variance, value at risk (VAR) and conditional VAR (CVAR), at most correspond to second order stochastic dominance (SSD). Therefore, the utility function formulated by the LPM2 can reflect an investor's mental process. The proposed model was verified by a numerical study using the PJM real market data.]]
UR - http://handle.uws.edu.au:8081/1959.7/563352
UR - http://www.ieee-pes.org/meetings-and-conferences/calendar/monthly-view/view/144
U2 - 10.1109/PES.2009.5275454
DO - 10.1109/PES.2009.5275454
M3 - Conference Paper
SN - 9781424442416
BT - Proceedings of IEEE Power & Energy Society 2009 General Meeting (PES '09): 26-30 July 2009, Calgary, Alberta
PB - IEEE
T2 - IEEE Power & Energy Society. General Meeting
Y2 - 26 July 2009
ER -