Title :
Nash equilibrium in the game of transmission expansion
Author :
Xingquan, Ji ; Chengshan, Wang
Author_Institution :
Sch. of Electr. Autom. & Energy Eng., Tianjin Univ., China
Abstract :
Transmission investment tends to be increasingly decentralized, and each participant´s strategy is interactional in today´s power market environment. It is very important for system administrators and each participant to correctly forecast potential investors´ actions. This paper analyzes transmission investors´ mixed strategy Nash equilibrium based on noncooperative game theory and genetic algorithm.
Keywords :
game theory; genetic algorithms; investment; power markets; power transmission economics; power transmission planning; Nash equilibrium; genetic algorithm; mixed strategy Nash equilibrium; noncooperative game theory; power market; system administrators; transmission expansion; transmission investment; Costs; Decision making; Economic forecasting; Game theory; Genetic algorithms; Investments; Mathematics; Nash equilibrium; Power system planning; Regulators;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1182678