Distribution network monitoring and management system based on intelligent recognition and judgement

Abstract

Based on the shortcomings of the current intelligent management of distribution networks, the article designs and implements a remote intelligent detection system for live distribution networks. The article constructs and realises an algorithm based on a genetic algorithm (GA) and agent system. The algorithm is applied to energy-saving intelligent supervision of equipment in the distribution network. The simulation experiment shows that the integrated algorithm based on GA and agent system can accurately detect power quality in real time. At the same time, the algorithm can monitor the energy consumption of equipment in the distribution network under multiple disturbances.

Neuro-swarm computational heuristic for solving a nonlinear second-order coupled Emden–Fowler model

“…In the future, one can exploit/explore the knacks of ANNs-PSO-IPM to solve the singular higher order models (Sabir et al 2020c, d;2021a), fractional order models (I ˙lhan and Kıymaz 2020; Sabir et al 2022b;Sulaiman et al 2019;Touchent et al 2020;Yokus ¸and Gu ¨lbahar 2019;Ziane et al 2019) and many other applications of utmost importance (Kouider and Polat 2020;Xie et al 2020;Xue et al 2021;Yao 2021).…”

A Study on the Vehicle Routing Problem Considering Infeasible Routing Based on the Improved Genetic Algorithm

“…An intelligent algorithm is an abstract summary of some structures and laws in nature [17]. The genetic algorithm is an adaptive global intelligent algorithm formed by biological heredity and evolution processes [18]. It is a random search method evolved from the evolutionary law of the biological community.…”