Title :
Optimal capacity allocation in different markets for generation companies employing the mean-lower partial moments model
Author :
Yan, Yong ; Wen, Fushuan ; Huang, Jiansheng
Author_Institution :
Sch. of Electr. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
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.
Keywords :
electricity supply industry deregulation; stochastic processes; asset allocation problem; conditional VAR; expected utility; generation companies; mean-lower partial moments model; mean-return lower partial moment model; optimal capacity allocation; power industry deregulation; power suppliers; return-risk model; risk-free asset; second order stochastic dominance; stochastic dominance; third order stochastic dominance method; Asset management; Optimal control; Performance analysis; Power generation; Power industry; Power supplies; Reactive power; Risk analysis; Stochastic processes; Utility theory; Copula function; LPM; asset allocation; dependence measure; expected utility function; power market; risk management; stochastic dominance;
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
Print_ISBN :
978-1-4244-4241-6
DOI :
10.1109/PES.2009.5275454