# Electricity Losses in Focus: Detection and Reduction Strategies--State of the Art
## 4 Methods to Reduce Energy Losses
### Technical Energy Losses
Another notable study was conducted by researchers [PERSON], [PERSON], and [PERSON] [66], in which they examined a potential reconfiguration of power grids involving the modification and replacement of lines with those possessing superior parameters. The reconfiguration is further analyzed in relation to the addition of capacitor bank control, with the two methods combined resulting in a substantial reduction in energy losses. Given the complexity of integrating these two reduction methods, an optimization algorithm that incorporates both was proposed. To achieve optimal performance, the authors have introduced an adaptive genetic algorithm for intelligent capacitor switching and a simplified branch-switching algorithm for determining the optimal network structure for each iteration of the proposed genetic optimization algorithm for capacitor control. As a result, the efficiency of the implemented algorithm was assessed through a comprehensive evaluation of a 119-node bus, with encouraging results. Another impact study was conducted by other researchers in [67], wherein the importance of renewable generators introduced in the configuration of power grids was analyzed. The low-voltage network under scrutiny was provided with a multi-functional control unit whose purpose was to optimize the power system by correcting the power factor and significantly reducing harmonic distortion. The study proposes the implementation of a harmonic controller, a voltage controller operating at both low and medium voltage levels. Additionally, renewable power generators are equipped with storage systems to regulate power flow from the grids. The investigation of the controller contributions is carried out in MATLAB (R2012a), and the results based on the calculations show substantial reductions in harmonic currents and reduction of voltage dips. In the context of power quality research, a study was conducted on the mitigation of power loss in three-phase radial and unbalanced three-phase distribution systems [68]. The comprehensive analysis was executed within the MATLAB software environment (Version R2019a), wherein a three-phase network comprising 37 nodes was modeled and simulated through the employment of adaptive particle swarm optimization. The method provides a forward or backward type sweep, and two distribution scenarios were analyzed: the first generating only reactive power and the second generating both active and reactive power. The study's findings indicate that the optimization algorithm determines the power capacity, both active and reactive, required to minimize losses in the radial distribution system. The investigation's findings indicate that the implementation of an intelligent algorithm enhances the enhancement of the stability index of the analyzed distribution system. The study on the reduction of technical losses in transmission and distribution systems is principally based on the introduction of algorithms for optimization and reconfiguration of radial networks, as well as the intelligent placement of reactive power compensation batteries. Additionally, the researchers examined the analysis of overhead and underground power lines and transformers with the aim of decreasing the number of losses caused by the improper sizing of these physical components. In conclusion, the studies carried out by the researchers so far are actively and significantly contributing to the reduction in technical energy losses, and further developments in this field are continuously increasing. A substantial amount of research has been carried out on the study of technical energy losses in various interdisciplinary fields, resulting in a significant increase in the number of publications over the years. As shown in Figure 10, which presents the development of publications concerning methods for reducing technical losses in energy systems, there has been a consistent increase in research efforts.