Title :
Transmission planning in deregulated markets considering GenCos´ strategic behavior
Author :
Motamedi, Amir ; Zareipour, Hamidreza ; Rosehart, W.D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
Abstract :
This paper proposes a new approach for long-term transmission expansion planning, from the ISO´s point of view, in electricity markets where only the generation sector is deregulated. The strategic behavior of generation companies is simulated using the simulated annealing Q-learning technique, and the market operation is modeled. Considering the predicted system data, various likely generation expansion scenarios are evaluated by the system operator, and the most likely scenario is selected according to a predefined objective. Based on this scenario, the ISO evaluates several transmission expansion plans, and the one that maximizes the competition level in the market is selected. A small 5-bus test system is used to demonstrate the proposed approach.
Keywords :
learning (artificial intelligence); power engineering computing; power markets; power transmission economics; power transmission planning; simulated annealing; strategic planning; 5-bus test system; GenCo strategic behavior; ISO; Q-learning technique; deregulated markets; electricity markets; generation companies; generation expansion scenarios; long-term transmission expansion planning; reinforcement-learning model; simulated annealing; system operator; Electricity supply industry; Electricity supply industry deregulation; ISO; Investments; Power generation; Power generation economics; Power system planning; Random number generation; Strategic planning; Temperature; Transmission planning; generation expansionreinforcement learning;
Conference_Titel :
Power Symposium, 2008. NAPS '08. 40th North American
Conference_Location :
Calgary, AB
Print_ISBN :
978-1-4244-4283-6
DOI :
10.1109/NAPS.2008.5307304