Wind-light-water combined power generation scheduling method based on improved NSGA-II algorithm

Abstract

The invention discloses a wind-light-water combined power generation scheduling method based on an improved NSGA-II algorithm. The method belongs to the field of hydropower energy optimization, and comprises the following steps: constructing a wind-light-water combined power generation model by taking the maximum combined total power generation capacity of a hydropower station, a wind power station and a photoelectric station as a first objective function and the maximum combined minimum output as a second objective function according to constraint conditions of each power station; initializing a first population and a belief space according to each constraint condition of the power station; calculating the fitness of the first population and selecting non-dominated individuals from the first population and putting the non-dominated individuals into an archiving set; performing generation-by-generation updating on the first population and the belief space by utilizing an improved NSGA-II algorithm until a set number of times is reached; and obtaining a plurality of wind-light-water combined power generation scheduling methods according to the updated archiving set. According to themethod, a plurality of optimal scheduling schemes with good representativeness can be obtained, complementarity among wind, light and water energy sources is brought into full play, and safe, stableand economical operation of a power station is guaranteed.

Description

technical field [0001] The invention belongs to the field of hydropower energy optimization, and more specifically relates to a dispatching method for wind-solar-water combined power generation based on an improved non-dominated sorting genetic evolution algorithm. Background technique [0002] With the development and utilization of fossil energy, a series of energy shortages have been caused. Environmental pollution and ecological degradation problems. In order to reduce the negative impact of fossil energy, domestic and foreign scholars began to study the development and utilization of renewable energy. Wind energy and photovoltaic energy have potential research value. Due to the randomness, volatility and intermittent nature of their power generation, high-quality electric energy cannot be obtained, so wind energy has not been fully utilized. The large-scale wind-solar hybrid grid connection poses severe challenges to the security and stability of the power system. As...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a wind-solar-water combined power generation dispatching method based on the improved NSGA-II algorithm, the purpose of which is to solve the multi-objective optimization dispatching method of the existing wind-solar-hydro hybrid power generation system , the spatial distribution of the optimal solution is poor, so that wind, light, and water energy sources cannot complement each other reasonably, resulting in the technical problem of low reliability of power grid power supply

Images