Reactive power optimization method and device for power distribution network, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a reactive power optimization method and device for a power distribution network, electronic equipment and a storage medium. According to the embodiment of the invention, the output randomness of an intermittent distributed power supply is converted into the randomness of a determined power day-ahead predicted value and a power prediction error, and a wind power prediction error model based on segmented index error distribution and a photovoltaic power prediction error model based on normal distribution error distribution are established; and the reactive power regulation capability of a distributed power supply and an electric vehicle is combined with the rapid dynamic reactive power compensation capability of a static reactive power compensator, reactive power output of the distributed power supply, the static reactive power compensator, a capacitor and the electric vehicle and charging and discharging power of the electric vehicle are optimized and controlled, a multi-target reactive power optimization model of the new energy power distribution network is established, an optimal solution set is obtained through solving by adopting an improved non-dominated sorting genetic algorithm based on a normal distribution crossover operator and an improved congestion degree operator, and an optimal compromise solution from the optimal solution set through an entropy weight method.

Description

Technical field [0001] Embodiments of the present invention relate to the technical field of distribution network planning, and more particularly to a distribution mesh reactive optimization method, apparatus, electronic device, and storage medium. Background technique [0002] Now the economic development is seriously dependent on fossil energy, distributed power (DG) is of great significance to bring a threat to environmental protection and alleviation fuel depletion of environmental protection and alleviation fuel. Intermittent DG, such as wind power, photovoltaic, is affected by natural conditions, which has random and intermittent. As the intermittent DG, the intermittent DG and the mesh scale, the scale is gradually expanded, which has a significant effect on randomness and intermittent on the line trend, node voltage and power supply reliability. Compared to traditional fuel cars, electric vehicles have an irreplaceable advantage in reducing exhaust emissions and fossil fu...

AI Technical Summary

Problems solved by technology

At the same time, the dimensions of different objective function values ​​are different, and there is a mutually exclusive relationship. If simply using weighted values, fuzzy membership functions, etc. to convert multi-objective into single-objective optimization for solution, the selection of weighted values ​​and fuzzy membership functions has certain Subjectivity, this solution is not a real multi-objective optimization

In addition, the current method does not consider that DG has a certain reactive power adjustment capability, and does not consider that EV can realize peak shaving and reactive power adjustment functions of the distribution network through the interaction between electric vehicles and the grid (vehicle to grid, V2G) technology

Due to the randomness and intermittence of DG output, the voltage fluctuates frequently. Traditional capacitors can only be switched in groups. Only optimizing the number of capacitor switching groups cannot achieve continuous adjustment of reactive power. Obviously, it cannot adapt to the reactive power optimization of new energy distribution networks. Require

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