Abstract
Electric power market transaction is one of the important measures for the reform of the electric power system in China. In this paper, the optimal operation model of the reservoir was established. Based on the standard particle swarm optimization, the improved particle swarm optimization algorithm was proposed. Taking a hydropower station as an example, the Time of Use (TOU) price annual profits calculated in dry years, flat and humid years than the single price increased by 1.42%, 19.49% and 15.85%. The results show that the annual benefit price of hydropower station was significantly higher than the annual benefit of one price system when taking TOU price into account, can be used to solve the reservoir optimal scheduling strategy in the electricity market transaction model.
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