Abstract
With the succession of river basins and inter-basin hydropower stations, the joint optimal operation of cascade hydropower stations in the river basin has large-scale, nonlinear, strong coupling, and multi-target characteristics, and must consider the effects of hydrometeorology, water demand, and power grid security. Focusing on the preparation of short-term power generation plans for cascade hydropower stations on the Qingjiang River, a comprehensive multi-objetive power generation planning model with the largest total power generation and the least load variance on the power grid is established. Based on the constraint processing method of multi-objective optimization scheduling in long-term, the optimal flow distribution technology is adopted to improve the accuracy of power generation planning. The above model is solved by using SMPSO. The results show that the improved algorithm can effectively overcome the shortcomings of slow convergence speed and easy convergence to local optimum. It can improve the power generation efficiency of the whole cascade while responding to the peaking demand of the power grid and provide a new solution to the short-term power generation planning ideas.
Highlights
The short-term generation scheduling of cascade hydropower stations is an important part of the cascaded control center, and it belongs to the mode of the largest total power generation and the least load variance
The results show that the improved algorithm effectively overcomes the problem that the original multiobjective particle swarm optimization algorithm is easy to fall into local optimum, and improves the power generation benefit of the entire cascade while responding to the peaking demand of the power grid; The Pareto optimal solution set with uniform distribution is obtained, which provides data support for the formulation of the cascade power station load distribution scheduling that takes into account the peaking demand, and has certain engineering practical value
The short-term power generation planning of cascade hydropower stations usually gives the initial and final water levels, that is, the daily power generation plan of each hydropower station is established under the condition that the available water quantity is known, which belongs to the category of the largest total power generation and the least load variance
Summary
The short-term generation scheduling of cascade hydropower stations is an important part of the cascaded control center, and it belongs to the mode of the largest total power generation and the least load variance. It usually aims at the total generated energy of cascade, the optimal power benefit or the maximum peak shaving revenue It comprehensively considers short-term runoff forecast, load variation, unit maintenance scheduling, output vibration area and other constraints, so as to effectively utilize and refine the amount of water available for distribution to the day by medium-term dispatch. The results show that the improved algorithm effectively overcomes the problem that the original multiobjective particle swarm optimization algorithm is easy to fall into local optimum, and improves the power generation benefit of the entire cascade while responding to the peaking demand of the power grid; The Pareto optimal solution set with uniform distribution is obtained, which provides data support for the formulation of the cascade power station load distribution scheduling that takes into account the peaking demand, and has certain engineering practical value. This paper only studies the issue of power generation planning in the final water level control mode
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