Method for long-term optimal scheduling of hydropower station group under cascade energy storage control

Abstract

The invention belongs to the field of hydropower optimal scheduling, and discloses a method for long-term optimal scheduling of a hydropower station group under cascade energy storage control. Maximal total power generation benefit under cascade energy storage control is achieved, and the efficiency of cascade hydropower station group calculation is improved. The method has important application and use values. In view of the problem of cascade energy storage control in cascade hydropower station group long-term optimal scheduling, a model of hydropower station group long-term optimal scheduling under cascade energy storage control is constructed, and a two-stage solving method is put forward. In the first stage of the solving process, equal-energy-storage lines are introduced to represent different water level combinations of cascade hydropower stations under the same energy storage value, and then equal-energy-storage lines corresponding to different cascade energy storage are constructed. In the second stage of the solving process, a corresponding cascade hydropower station state combination is queried on an equal-energy-storage line corresponding to cascade energy storage of each time period, and then the optimal trajectory is obtained by adoption of dynamic programming recursive optimization. Maximum total benefit of a cascade hydropower station group can be achieved on the premise of meeting the conditions of cascade energy storage control. The method is feasible.

Description

Background technique [0001] The invention relates to the field of optimal scheduling and operation of hydropower, in particular to a method for long-term optimal scheduling of hydropower station groups under cascaded energy storage control. technical background [0002] After years of practice and exploration of hydropower in my country, the development mechanism of "river basin, cascade, rolling, and comprehensive" has gradually matured, and the installed capacity has increased day by day. However, due to the uncertainty of natural water flow and the uneven spatial distribution of hydropower station groups, natural regulation cannot achieve sustainable and efficient utilization of hydropower resources, which affects the continuity and stability of hydropower utilization, resulting in power abandonment and power supply damage. . Therefore, it is necessary to adopt an effective optimal scheduling control method to coordinate the utilization and distribution of hydropower res...

AI Technical Summary

Problems solved by technology

DP needs to discretize the state variables of each reservoir and construct a state combination, use the penalty function method to deal with cascade energy storage, and obtain the optimal trajectory through recursive optimization, but each time period involves a large number of invalid state combinations that do not satisfy the cascade energy storage, which is easy This results in a waste of computing resources and a decrease in search efficiency; LR relaxes the cascade energy storage control constraints and constructs a dual problem, and iteratively updates the iterative relaxation factor to approach the optimal solution successively, but the selection of the initial Lagrangian multiplier is very difficult, and in the iterative Oscillations are prone to occur in the later stage, and at the same time, due to the existence of dual gaps, it is generally difficult to strictly satisfy the tight constraint of cascade energy storage, and the search accuracy and calculation efficiency are low

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