Title :
Optimal operation strategy for cogeneration power plants
Author :
Huang, Shun-Hsien ; Chen, Bin-Kwie ; Chu, Wen-Chen ; Lee, Wei-Jen
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
Abstract :
The electrical power system has been increased both in the size and complexity at a rapid rate in the last few decades. With the trend of deregulation, power systems are operated in a more stressed state. Since the establishment of the cogeneration promotion law in 1988, over one hundred cogeneration power plants with the total installation capacity about 16% of total Taiwan Power Company (TPC) system in Taiwan. Also, after TPC adopting the time-of-use (TOU) tariff rate schedule, electricity price of peak and semipeak period is higher than off-peak period. These factors promote greater incentives for more effective utilization of the current facilities. This paper uses genetic algorithms to develop an optimal operation strategy for the cogeneration power plant (CPP) to improve its competitiveness in the power market. A real cogeneration power plant is used to verify the feasibility of the proposed algorithm.
Keywords :
cogeneration; genetic algorithms; installation; power generation scheduling; power markets; power utilisation; pricing; tariffs; Taiwan power company; cogeneration power plants; deregulation; electrical power system; electricity price; genetic algorithms; off-peak period; optimal operation strategy; power market; semipeak period; tariff rate schedule; time-of-use; total installation capacity; Cogeneration; Costs; Fuels; Genetic algorithms; IEEE members; Job shop scheduling; Power generation; Power industry; Power markets; Power systems;
Conference_Titel :
Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE
Print_ISBN :
0-7803-8486-5
DOI :
10.1109/IAS.2004.1348750