Study on optimal operation of hydropower station in the background of electricity market transaction model
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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 characteristics of the optimal reservoir scheduling in the electric power market transaction model were analyzed, and the optimal operation model of the reservoir was established. Based on the standard particle swarm optimization, the improved particle swarm optimization algorithm was proposed, which was based on the improvement of the inertia factor, the acceleration factor and the iteration speed. Taking Qingxi Reservoir, which locates in Meizhou City, Guangdong Province, as an example, the validity and applicability of the model and algorithm were verified. This research provides a new idea for reservoir optimization scheduling in the background of electric power market.