Reactive Power Optimization of Power System Based on Distributed Cooperative Particle Swarm Optimization Algorithm

Abstract

With the gradual increase in the scale of the power grid, the marketization of the power industry, and the rationalization of resource allocation, how to improve the power system has become an urgent issue for the power sector. The power system is of great significance to improve voltage quality, improve power grid safety factor, reduce system active power loss, and improve economic benefits. The purpose of this paper is to study the power system with algorithm. In the experiment, using the reactive power optimization objective function, the program of the power system is optimized, and they are respectively applied to the standard IEEE-30 node model for optimization calculation, and the results are analyzed.

Power line fault diagnosis based on convolutional neural networks

“…During the process of using relevant power system equipment to protect transmission lines, normal electromechanical relays cannot accurately detect faults and therefore cannot reliably perform fault protection [ 10 ]. The differential protection of power transformers, as the fundamental protection, plays an important role in the reliability and safety of the power system.…”