Title :
A Preliminary Research on the Optimal Daily Operation Mode of Pumped-storage Power Plants under Electricity Market Environment
Author :
Qin, Gaoyuan ; Liu, Guogang ; Jing, Zhaoxia ; Zhang, Yao
Author_Institution :
Coll. of Electr. Power, South China Univ. of Technol., Guangzhou
Abstract :
This paper develops optimal daily operation mode of pumped-storage power plants under electricity market environment. Assuming electricity prices can be estimated and taking the risk into considerations, an algorithm to maximize the profit of a pumped-storage power plant considering reserve bids is developed. Chance-constrained programming (CCP), Monte Carlo simulation and GA are used to solve the problem
Keywords :
Monte Carlo methods; constraint handling; genetic algorithms; power markets; pumped-storage power stations; GA; Monte Carlo simulation; chance-constrained programming; electricity market environment; electricity prices; optimal daily operation mode; pumped-storage power plants; reserve bids; Educational institutions; Electricity supply industry; Energy management; Power engineering and energy; Power generation; Power systems; Reservoirs; Water conservation; Water resources; Water storage; CCP; Electricity market; GA; Monte Carlo simulation; pumped-storage power plants; reserve bids;
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1547084
