Optimal reconfiguration of radial distribution networks using improved genetic algorithm

Abstract

Reconfiguration of an electrical power radial distribution network is aimed at finding a radial operating structure that minimizes the system active power loss, enhancing the system voltage profile via reducing the active power losses whilst satisfying operating constraints is one of the most important measures of improving the operational performance of a distribution system. In this paper, an efficient approach to solving the problem of reconfiguration considering active power loss, total voltage deviation for a typical distribution network. The method developed is based on improved genetic algorithm to determine the optimal location of tie and sectionalizing switches, with a view to yield an optimal performance for the network. The reconfiguration model was implemented using MATLAB R2016a simulation environment. The effectiveness and validity of the proposed model was tested on a 16, 33 and 69 IEEE-Bus standard systems for distribution network. The results show that with a reduction of 8.86%, 31.15% and 53.53% in active power loss as compared to the initial configuration, whilst a total voltage deviation of 0.0284p.u., 0.0622p.u and 0.0517p.u for 16, 33 and 69 IEEE Bus respectively.

Optimal network restructure via improved whale optimization approach

“…The effectiveness of the IWOA to recognize the best opened switches compared with those shown in previous works 6,15–17,29,31,33,42,60–64 is demonstrated here. Switches S4, S14, S15, S22, and S33 are elected as an optimal solution by IWOA.…”

“…The seniority of the IWOA to adjust the optimal opened switches compared with those cleared in the literature 16,17,24,25,36,39,41,60,63,64,71 is ensured here. Switches S14, S58, S61, S69, and S70 are selected by IWOA as the best solution.…”

“…where δ j and μ j : the lower and upper bounds of X i ( j) respectively, The flow chart of IWOA is described in Figure 1. 16 EGA 2015 17 IGA 2019 61 HA 2008 62 RGA 2002 63 ACA 2008 42 CSA 2019 64…”

“…EGA has been utilized in Duan et al 16 to solve the restructure problem, reduce power loss, and improve system reliability. In Abubakar et al, 17 an IGA has been developed to handle the restructure problem considering total voltage deviation and active power loss. ACA has been indicated in previous studies 18,19 to deal with the restructure problem of distribution systems while enforcing the technical constraints like the voltage limits and transmission capabilities.…”

Optimum Restoration of Radial Electric Distribution Networks Using Multi-Objective Genetic Algorithms

“…Una vez identificado el, o los trechos, de carga con suministro interrumpido, los interruptores del SED, deben mudar sus estados de operación (interruptores abiertos y cerrados) para obtener una nueva, y óptima, configuración topológica, aislando sólo el, o los trechos, afectados y preservando, en lo posible, la mayor cantidad de carga no afectada [3]. Encontrar la mejor secuencia de maniobras para reconfigurar el SED, de forma empírica, en general insume varias horas de trabajo y pruebas en campo para determinar la mejor solución.…”