Price-Based Unit Commitment With Wind Power Utilization Constraints

• Published in: IEEE transactions on power systems 2013-08, Vol.28 (3), p.2718-2726
• Main Authors: Wang, Qianfan, Wang, Jianhui, Guan, Yongpei
• Format: Article
• Language: English
• Subjects: Alternative energy sources; Chance constrains; Convergence; Electricity; Energy policy; Generators; mixed integer programming; price based unit commitment; Real-time systems; sample average approximation; Stochastic processes; stochastic programming; Studies; Uncertainty; Wind power; Wind power generation
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/TPWRS.2012.2231968

This paper proposes an optimal bidding strategy for independent power producers (IPPs) in the deregulated electricity market. The IPPs are assumed to be price takers, whose objectives are to maximize their profits considering price and wind power output uncertainties, while ensuring high wind power utilization. The problem is formulated as a two-stage stochastic price-based unit commitment problem with chance constraints to ensure wind power utilization. In our model, the first stage decision includes unit commitment and quantity of electricity submitted to the day-ahead market. The second stage decision includes generation dispatch, actual usage of wind power, and amount of energy imbalance between the day-ahead and real-time markets. The chance constraint is applied to ensure a certain percentage of wind power utilization so as to comply with renewable energy utilization regulations. Finally, a sample average approximation (SAA) approach is applied to solve the problem, and the computational results are reported for the proposed SAA algorithm showing the sensitivity of the total profit as the requirement of wind power utilization changes.