STRATIFIED MULTI-OBJECTIVE OPTIMIZATION IN POWER POOL AUCTIONS

摘要

This article presents a stratified multi-objective method within the framework of centralized optimization for calculating optimal generation schedules that minimize generator costs based on consumer payments minimization. The author addresses issues related to market structure and the operation of power pools, such as bid evaluation, generator no-load and start-up cost recovery, generator unit operating constraints, and market clearing price determination. The Power Exchange (PX) is provided with a reliable and fair criterion to determine what quantity can be accepted by the power net for each generator. Unlike conventional unit commitment (UC) algorithms that minimize energy production costs, the method takes the consumers' benefit as first objective. It avoids the disadvantage of the Consumer Payment Minimization (CPM) method, of having a lot of solutions, and lowers the generator costs. Finally, a test result is given to show that the multi-objective method is better than the CPM and traditional UC methods.