A Multi-objective Reactive Power Optimization Method for Power System Based on DSICA Algorithm

Abstract

The invention claims to protect a multi-objective reactive power optimization method of a power system based on a DSICA algorithm. It includes the following steps: establish a multi-objective reactive power optimization mathematical model of the power system, set system parameters and algorithm parameters; initialize the country individual in the algorithm, and obtain the objective function value through power flow calculation; copy the country individual to the external storage space; algorithm iteration, using the proposed The individual position update method and distance strategy of the colonial country update the individual position of the country; perform non-inferiority sorting and congestion distance calculation on the updated country individual and the previous generation country individual; judge whether the number of iterations is satisfied, and if so, go to the next step, if If it is not satisfied, return to repeated iterations; output the Pareto optimal solution set formed by the external storage space, and use the fuzzy group decision method to find the optimal compromise solution and output it. The invention has wide search range, strong optimization ability and high solution quality in dealing with the multi-objective reactive power optimization problem of electric power system, which proves the effectiveness and superiority of the invention.

Description

technical field [0001] The invention belongs to the technical field of reactive power optimization of electric power systems, relates to the technical field of multi-objective reactive power optimization solution schemes of electric power systems, and specifically relates to a multi-objective optimization method of electric power systems based on DSICA algorithm. Background technique [0002] The power system is a large-scale and time-varying complex system, and it is a very important basic industry in the national economy. With the development of the power industry, the scale of the power system is getting larger and larger, and the safety, reliability and economy of the system have also received more and more attention. Among them, whether the reactive power optimal control of the power system is reasonable determines the quality of power Good or bad, it is of great significance to the safety, stability and economic operation of the power grid. Power system reactive power...

AI Technical Summary

Problems solved by technology

In the optimization process, the imperialist algorithm updates the position information of the individual through the assimilation process of the colony and the revolution process, but in the process of moving the colony, it only depends on the position of the imperialist country of the empire where the colony is located, and does not consider other countries’ position information. The influence of the algorithm makes the algorithm easy to fall into the local optimum, thereby reducing the optimization performance of the algorithm

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