Multi-objective Scheduling Of Cascade Hydropower Stations And Optimization Of Hydropower Decision-making Under Time-sharing Electricity Price

China has a vast territory and abundant water resources.How to convert such a huge amount of water resources into hydropower energy has always been the focus of research on hydropower workers in China.Under the background of China's hydropower construction,the hydropower station group formed by river cascade development has gradually become the main force of the power grid.Compared with the traditional singleobjective optimization method,the joint dispatching of cascade hydropower stations can significantly improve the utilization of water resources,ensure the stable operation of cascade hydropower stations,reduce the loss of hydropower units,and improve the peak shaving capacity of the power grid system and the flood control capacity of the river basin.With the increase of the influence factors of the cascade hydropower station dispatching decision,the single-objective optimization method to optimize the hydropower station's ability in a certain aspect can not fully meet the needs of the hydropower station in actual dispatching.As a measure of power demand side management,time-sharing electricity price can effectively guide users to use electricity reasonably and alleviate the shortage of power peaks.With the deepening of the reform of the power market and the development of intelligent measurement systems,users participate in grid interaction,and traditional pricing strategies can no longer meet the needs of power grids and users.Price-oriented,indirect control of users' electricity consumption behavior,and rational distribution of electricity market demand has become a difficult point in the formulation of time-sharing electricity price plans.Therefore,this paper takes the Yuanshui cascade Tuokou Hydropower Station and Wuqiangxi Hydropower Station as the research object,establishes a multi-target medium and long-term power generation optimization scheduling model and solves the scheduling scheme.At the same time,the paper adds user satisfaction based on the user's electricity consumption change.proposes a multi-objective time-of-use electricity price model with the largest valley load and the highest user satisfaction and a time-sharing electricity price plan,in order to alleviate the power shortage in the current environment and promote the stable operation of the hydropower station and the power grid.The main contents and research results are as follows:(1)According to the natural characteristics of the Yuanshui River Watershed,according to the dispatching regulations of each power station in the watershed,and the role of the Yuanshui cascade hydropower station in actual dispatching,the paper established the multiobjective medium and long-term optimal dispatching model of the Tuokou-Wuqiangxi cascade hydropower station.The NSGA-? algorithm is used to solve the non-inferior solution set of the scheduling model.The study takes the Yuanshui cascade Tuokou Hydropower Station and Wuqiangxi Hydropower Station as the research object,and uses the measured water from the watershed's abundant water year and dry year as the model input,and uses the NSGA-? algorithm to calculate the multi-objective model of the TuokouWuqiangxi cascade hydropower station.The paper analyzed the obtained scheduling scheme.The results show that the scheme can effectively improve the power generation efficiency and grid stability,and it can provide decision support for dispatchers.(2)The paper combine the user's demand response to the change of electricity price,introduce the user response curve,add the user satisfaction index which based on the user's electricity consumption change to establish the multi-objective model of time-of-use electricity price.The paper use the method of fuzzy clustering to divide the peak-to-valley period,and use the NSGA-? algorithm to get the pricing scheme of the time-of-use electricity price model.The example is simulated by typical daily load data of a certain area.The NSGA-? algorithm is used to optimize the multi-objective model of time-sharing electricity price.The typical analysis of the time-sharing electricity price plan is carried out.The results show that the program can cut the peak,fill the valley and smoothing the load curve.The method can provide a reference for the power companies to guide users to use electricity reasonably and make time-sharing electricity price plan.