Intelligent scheduling method for carryover storage reservoir

Abstract

The invention provides an intelligent scheduling method for a carryover storage reservoir. The intelligent scheduling method comprises the following steps: 1, dispersing the water storage level of a reservoir under the normal operation condition; 2, calculating the year-end remaining benefit corresponding to each dispersed water level point according to the historical data of the reservoir; 3, calculating the month-end remaining benefit corresponding to each dispersed water level point according to forecast month runoff data from the month of the end of a forecast period to the year end; 4, according to forecast day runoff data from the end of the forecast period to the month end, calculating the remaining benefit of the end of the forecast period corresponding to each dispersed water level point; 5, performing short-term economic operation in the forecast period to obtain an hour-by-hour optimal decision process of a hydropower station and corresponding optimal benefit; and 6, after the scheduling decision of one day is completed, carrying out scheduling of the next day. The method has real-time performance, greatly reduces manual intervention, is clear in concept and comprehensive in consideration, and has very important practical significance for fully exerting the economic benefits of a hydropower station reservoir and improving the operation scheduling level of a hydropower station reservoir.

Description

technical field [0001] The invention relates to the field of reservoir dispatching, in particular to an intelligent dispatching method aiming at regulating reservoirs for many years. Background technique [0002] Since the 1950s, due to the introduction of dynamic programming principles and Markov decision-making methods, as well as the rise of electronic computers, the research on medium- and long-term optimal dispatching of reservoirs has developed rapidly and achieved fruitful results. [0003] The optimal operation of reservoirs is mainly carried out through the establishment of mathematical models of reservoir operation. According to the different description methods of input runoff, optimal operation of reservoirs can be divided into stochastic optimal operation and deterministic optimal operation. Stochastic optimization scheduling can be further divided into explicit stochastic optimization and implicit stochastic optimal scheduling. Explicit stochastic optimal sche...

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Problems solved by technology

[0007] The present invention proposes an intelligent dispatching method for regulating reservoirs for many years, which is used to solve or at least partly solve the technical problem of poor dispatching effect caused by forecast uncertainty in the methods in the prior art

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