Study On Market Clearing In Two Bidding Modes And Its Congestion Management

Electric power market is a trend of power industry in the whole world. This thesis mainly researches on the market clearing both in hourly bidding market and block bidding market and congestion management in the process of market clearing in the generation-side power market.The design of bidding mode and determination of transaction rule are critical in the establishment of electric power market. They will influence the security and stability of power system and will also determine the efficiency and successful operation of power market. Hourly bidding in which demand load is auctioned according to trading periods is widely used in present power markets. However, this bidding mode exposes some shortcomings because of the conflict between the independence of trading periods and the continuous operation performance of units. Block bidding in which load is auctioned according to continuous load segments is proposed to overcome that disadvantage of hourly bidding mode.This thesis firstly discusses the theory of the two bidding modes and compares the two modes with each other and also researches on the market behavior of generators and buyers in this two bidding modes. For market clearing in Day-ahead market of hourly bidding mode, it is a complex optimizing problem with multiple constraints. This thesis researches on hourly bidding market clearing based on improved Genetic Algorithm. After handling the hydropower properly, a binary encoding approach is proposed to process the constraint condition of unit minimum up/down time to simply the problem. This method considers both the unit technical constraints and the time coupling constraint and is effective in market clearing of multi-part bids. For block bidding mode, this thesis provides a market clearing method which is similar to the merit-order method to auction the load blocks in order. Available bidding blocks for units are only determined by their minimum up/down time constraints, their original status and the duration of blocks instead of some market rule because of fair competition. After block market clearing, each block will have a corresponding MCP (Market Clearing Price), and the real-time price is the MCP of the corresponding time of the highest level block. Market clearing algorithms of these two bidding modes are realized by MATLAB and the software can be used to calculate the unit commitment and genereation power in hourly and block bidding market in the objective function of minimum purchasing cost.