Cascade hydropower station multi-objective optimization scheduling method based on improved NSGA-III

Abstract

The invention discloses a cascade hydropower station multi-objective optimization scheduling method based on improved NSGA-III. The method comprises the steps of obtaining basic information of a cascade hydropower station; building a multi-objective power generation optimization scheduling mathematical model considering water balance and other hard constraints; generating an initial population andan initialized reference point based on Latin hypercube sampling; initializing the reproduction rate of each operator, and generating offspring based on the reproduction rate of each operator; combining a parent and the offspring, calculating the fitness values of individuals, performing non-dominated sorting, and taking the offspring with the high non-dominated sorting grade as a parent Pt+1 ofnext-generation evolution; according to the individuals of the Pt+1, calculating the reproduction rate of each operator and executing offspring generation operation; and combining a parent populationand an offspring population, performing non-dominated sorting, selecting out superior individuals to form a new population, calculating the reproductive rate of each operator, and repeating the iteration until a termination condition is met. According to the method, the economic benefits of the hydropower station and the operation stability of a power grid are improved.

Description

technical field [0001] The invention relates to a water conservancy and hydropower scheduling method, in particular to an improved NSGA-Ⅲ-based multi-objective optimization scheduling method for cascade hydropower station generation. Background technique [0002] Energy is the basic resource for national economic development and the basic guarantee for maintaining social progress, stable economic development and improving people's living conditions. Hydropower energy is an important part of energy, accounting for 20% of the world's total energy. Compared with nuclear power and thermal power, it has the advantages of low cost and flexible operation. Therefore, a large number of hydropower stations have been built in recent years around the world. Generally speaking, the most important goal of hydropower system operation is to determine the optimal operating water level of the hydropower station to maximize the economic benefits of the system under certain constraints. This h...

AI Technical Summary

Problems solved by technology

The first type of method usually treats the maximization of the minimum output as a constraint condition, which can greatly reduce the dimensionality, but needs to continuously adjust the constraint value to obtain a non-inferior solution set, and cannot obtain the complete Parero frontier at one time.

The second type of method uses weights to convert multi-objective problems into single-objective problems, and obtains a set of non-dominated solutions by continuously perturbing the combination of weights, but this method is not suitable for Pareto non-convex cases

However, it uses the genetic algorithm evolution mechanism to generate offspring during the evolution process, so it also has the same problems as the genetic algorithm, such as difficulty in converging to the global optimal solution and instability.

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