Title :
Stochastic Unit Commitment with CO2 Emission Trading in the Deregulated Market Environment
Author :
Che, Ping ; Tang, Lixin
Author_Institution :
Dept. of Math., Northeastern Univ., Shenyang, China
Abstract :
We investigate a unit commitment problem in which CO2 emission trading and power price are under consideration. We decide how much power to generate, how to trade emission and aim at maximizing the profit of the generation company in the deregulated market environment. The prices of power and emission trading are assumed to be stochastic due to the uncertain market environment. Using a scenario-based approach, we formulate the stochastic problem as a large scale MINLP model. A heuristic algorithm based on Lagrangian relaxation is developed for solving the problem. The testing results show the good performance of the proposed algorithm.
Keywords :
integer programming; nonlinear programming; power markets; pricing; CO2; Lagrangian relaxation; MINLP model; deregulated market environment; emission trading; generation company; power price; stochastic problem; stochastic unit commitment; Character generation; Costs; Environmental economics; Job shop scheduling; Lagrangian functions; Logistics; Manufacturing systems; Power generation; Stochastic processes; Stochastic systems;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448754
