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An Intelligent Scheduling Method for Regulating Reservoirs for Many Years

A technology for intelligent scheduling and reservoir regulation, applied in data processing applications, system integration technology, forecasting, etc., can solve problems such as poor scheduling effects, achieve the effect of reducing manual intervention and strong real-time performance

Active Publication Date: 2022-04-29
WUHAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • An Intelligent Scheduling Method for Regulating Reservoirs for Many Years

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Embodiment Construction

[0060] Aiming at the problem of poor dispatching effect of the existing method, the present invention proposes a method to determine different final water levels at the end of the year by simulating and calculating the historical runoff process in consideration of the forecast accuracy of the inflow flow in different forecast periods and the uncertainty of the final water level. Combined with the rolling forecast of inbound flow and the forecast accuracy of different forecast periods, a new type of intelligent scheduling mode for rolling optimization to determine the optimal decision in each period, the purpose of the present invention is to provide a practical and reasonable multi-year Adjust the intelligent optimal dispatching method of the reservoir.

[0061] Main idea of ​​the present invention is:

[0062] 1. Discretize the water storage level under the normal operation of the reservoir according to the accuracy requirements; 2. Calculate the remaining benefits at the end...

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Abstract

The invention provides an intelligent dispatching method for regulating reservoirs for many years. First, the water storage level under the normal operation of the reservoir is discretized; secondly, the residual benefit at the end of the year corresponding to the discrete water level points is calculated according to the historical data of the reservoir; . Calculate the residual benefit at the end of the month corresponding to the discrete water level points according to the forecast monthly runoff data from the end of the forecast period to the end of the year; 4. Calculate the residual benefit at the end of the forecast period corresponding to the discrete water level points according to the forecast daily runoff data from the end of the forecast period to the end of the month; 5. Carry out short-term economic operation within the foreseeable period to obtain the hour-by-hour optimal decision-making process of the hydropower station and the corresponding optimal benefits; The invention not only has real-time performance but also greatly reduces manual intervention, and the method has a clear concept and comprehensive consideration, which has very important practical significance for giving full play to the economic benefits of hydropower station reservoirs and improving the operation and dispatching level of hydropower station reservoirs.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0631G06Q50/06Y04S10/50Y02E40/70
Inventor 艾学山穆振宇
Owner WUHAN UNIV