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

fYear

2005

fDate

2005

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES

Conference_Location

Dalian

Print_ISBN

0-7803-9114-4

Type

conf

DOI

10.1109/TDC.2005.1547084

Filename

1547084