A short-term optimal dispatching method for cascade hydropower station groups

Abstract

The invention discloses a short-term optimization scheduling method for cascade hydropower station groups. The short-term optimization scheduling method includes (1), determining scheduling objects and topological structure processing; (2), setting related parameters and scheduling initial conditions; (3), determining initial output and initial output distribution deviation of each power station according to practical scheduling models built by power stations different in adjusting type; (4), determining new total output of leading power stations; (5), distributing the new total output to each leading power station; (6), determining new output of power stations on the lower reach; (7), performing iterative processing, judging output and load deviation accuracy, and determining a final power generation scheme for the cascade power station groups. By the short-term optimization scheduling method, synchronization of power generating process of the power stations and load trend peak-valley is realized, and economic needs of cascade power stations are guaranteed; jumping when the power stations output during deviation periods is avoided, and continuous performability of scheduling schemes is guaranteed; load distributing efficiency of large-scale power station groups is improved substantially, and scheduling scheme formulating time is enabled to meet actual engineering needs better.

Description

technical field [0001] The invention belongs to the technical field of water conservancy and electric power, and in particular relates to a short-term optimal scheduling method for cascade hydropower station groups. Background technique [0002] In the short-term dispatching of cascade hydropower station groups, the model of cascade water consumption minimum or cascade energy storage maximum is usually established, and methods such as fast allocation, dynamic search, and intelligent algorithms are used to solve the model to distribute the grid load to cascade hydropower stations, and obtain short-term 96(24) point generation plan. However, due to the above-mentioned model and algorithm pursuing the optimal in the mathematical sense, ignoring the actual operation problems of the cascade power station, such as load deviation, water flow time lag, flow matching, etc., resulting in jumps in the output process of the obtained power generation scheme and making the downstream adju...

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Problems solved by technology

However, due to the above-mentioned model and algorithm pursuing the optimal in the mathematical sense, ignoring the actual operation problems of the cascade power station, such as load deviation, water flow time lag, flow matching, etc., resulting in jumps in the output process of the obtained power generation scheme and making the downstream adjustment performance of the cascade Poor power plants generate power at low load peaks and do not generate power at peak times, which does not meet the economic benefit requirements of power plants; moreover, the algorithm adopted is low in efficiency and takes a lot of time for large-scale power plant groups, and may even fall into local optimum or become unfeasible The state of the solution, thus affecting the engineering practicability

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