Research On Optimal Unit Commitment And Cost-bsed Bidding Strategy Of Generation Corporations

This thesis focuses on studying the power energy bidding problem in regional electrical power auction market. A mathematical algorithm to produce the generation cost-based bidding strategy is proposed for thermal generating units. This cost-based bidding strategy is produced in two steps: (1) constructing the basic cost-energy correlation curve by analyzing the correspondent relationship between total energy and generating cost; (2) utilizing the specific market rules to fit the original curve into a block-wise bidding curve. The unit commitment problem is solved by using both the priority listing method and the dynamic programming algorithm. The optimization solution is subjected to multiple unit operational constraints, such as minimum uptime and downtime constraints, unit loading up and down ramping constraint, startup and shutdown ramping rate constraints, and unit maximum number of startups constraint, etc. The thermal unit cost-based bidding strategy is the baseline strategy among all realistically feasible bidding schemes, which plays an important referential role in the entire bidding process.