Generation Bidding Model And Algorithm In Electricity Markets

Electricity market needs to realize the commercialization of the electricity industry, break up the monopoly and lead to competition, separate the generation electricity, transmission electricity and distribution electricity. Each generation company and transmission company can compete in an opening electric network. Generation Bidding is an important economy action for electricity markets. An appropriate model and algorithm can be brought great economy profits and society benefits. Hence, using optimization technology and computer technology for electricity programming become a hot question for discussion in the world. This paper explores bidding algorithm considering the unit commitment constraints for electricity markets, puts forward the method of determining the operation time of unit commitment by price sensitivity, and proposes the backtrace algorithm. The experiment illustrates this method is feasible and effective. On the other hand, this paper consider the optimum choosing strategy about the trade of the long-term contract between the generation company and sale company, put forward a model of stochastic bilevel programming and the algorithm.The thesis is divided into five chapters: In Chapter 1, we introduce the background of electricity market and the development of this problem, the bidding problem and trade problem et al; In Chapter 2, we summarize the development, the usage of the multilevel programming, difficult point and two different kinds of formulations of the bilevel programming; In Chapter 3, we discuss the model and algorithm of the generation bidding, and put forward a backtrace algorithm; In Chapter 4,a stochastic bilevel programming model and solution algorithm of optimal bidding strategies, between the power Seller and Buyer for contracting arrangements of the long-term contracts and the spot markets transactions under uncertain electricity spot market is proposed; In Chapter 5,the paper is concluded.