Cascade hydropower robust optimal scheduling method based on random security domain

Abstract

The invention relates to a cascade hydropower robust optimal scheduling method based on a random security domain. The method comprises the following steps: 1) according to uncertainty and time sequence correlation of incoming water of medium / long-term cascade hydropower, establishing the random security domain, that is, a multiband uncertain set with incoming water time sequence correlation beingtaken into consideration; 2) according to the multiband uncertain set, constructing a robust two-stage model with robustness and economy being coordinated; 3) calculating a cross-year cascade hydropower pre-scheduling model in the first stage of the robust two-stage model to obtain a pre-scheduling plan of a hydropower station and reservoir capacity under a predication condition; and 4) convertinga re-scheduling model in the second state of the robust two-stage model into the max-min mathematical optimization problem, and judging robust feasibility of the pre-scheduling plan, and finally, obtaining a scheduling plan having robustness through feedback correction coordination optimization. Compared with the prior art, the method has the advantages of being precise and reliable, consideringincoming water time sequence correlation and robustness and economy coordination and the like.

Description

technical field [0001] The invention relates to the field of cascade hydropower dispatching, in particular to a method for cascade hydropower robust optimal dispatching based on random safety domains. Background technique [0002] The main task of multi-year cascade hydropower optimal dispatching is to take two years as the dispatching cycle and monthly as the dispatching period, combine all possible water inflows in the two years, and optimize the hydropower and reservoir dispatching plan under various constraints. Compared with short-term optimal dispatching, the multi-year cascade hydropower dispatching cycle is longer and the space for optimization is larger, which has always been a hot topic of research. [0003] Affected by natural factors, the inflow of water to the reservoir changes randomly during the inter-annual hydropower dispatch cycle. For this reason, the deterministic dispatch method that assumes that the inflow water is a fixed value has limited applicabilit...

AI Technical Summary

Problems solved by technology

When the uncertain set is described by only one band, the worst case is that all parameters are in the most extreme situation, but due to the intrinsic connection between uncertain parameters, the probability of all parameters being in extreme situations at the same time is extremely small or even does not exist , considering that the inflow of cascade hydropower station reservoirs is a continuous, non-stationary random process, showing strong or weak time-series correlation, directly using the traditional method of constructing uncertain sets will lead to inaccuracy of uncertain sets

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