Hydropower station adaptive power generation optimization scheduling method based on classification and grading of constraint conditions
A technology to optimize scheduling with constraints, applied in data processing applications, system integration technology, forecasting, etc., can solve problems such as high experience requirements for dispatchers, insufficient emergency response capabilities, and low work efficiency, so as to reduce bad experience and human resources. The computer interactive scheduling process is friendly and the effect of reducing excessive requirements
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[0037] Such as figure 1 As shown, taking the dynamic programming algorithm to solve the optimal dispatching model of hydropower generation as an example, when the benefit calculation is performed for a certain period of time and it is found that there is no solution for this period of time, check whether there is a relaxable scheduling constraint in this period. If there is a slackable scheduling constraint, relax the scheduling constraint with the lowest priority in this period, and recalculate the period benefit until there is a feasible solution space in this period. Only when all scheduling constraints have been relaxed and no feasible solution space can be found, the optimal scheduling problem is considered unsolvable. According to this method, it is recursively time-period until all time periods have been traversed, and then reverse recursively to obtain the optimal scheduling scheme. During the solution process, the relaxed constraints should be automatically recorded ...
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