Distribution networks reconfiguration is among the main tasks in distribution management system. The networks reconfiguration is determined by opening and closing switches devices. This reconfiguration can be static or dynamic. In static reconfiguration, the loads are assumed to be constant, while in dynamic reconfiguration loads are assumed to vary according to time. In this work, a dynamic reconfiguration considering the load variation was proposed. A minimum spanning tree (MST) based on Kruskal's algorithm has been applied to find the optimal reconfiguration under multi times, with minimizing the total power loss as objective function. This algorithm was tested on IEEE (33-nodes, 84-nodes) and validated on Algerian distribution network (116 node), using MATLAB Software.

The integration of shunts capacitor in the distribution system can have significant effects on the behavior of the system. An improper insertion of this equipment can cause negative impacts, the solution of these impacts requires an optimal location of shunt capacitors with adequate power injected. The main objective of this study is to determine the optimal placement and size so that the maximum annual benefit due to peak power and reduce energy loss, compared to the cost of installation be minimal. So it is necessary to use optimization techniques that we used the Particle Swarm Optimization (PSO) algorithm to solve this problem. The technique has been validated and tested on different types of distribution network including three IEEE standard networks (10 bus, 15 bus and 34 bus) and applied on a real network of Algerian distribution system.

Optimum Network Reconfiguration using Grey Wolf Optimizer

This paper proposes a technique for shedding against voltage collapse (Under Voltage Load Shedding or UVLS) which is based on the optimal power flow procedure OPF with transient stability constraints (Transient Stability Constraints Optimal Power Flow TSC-OPF). To solve this problem we used a meta-heuristic approach to learn the method of Genetic Algorithms. The objective of this method is to get after shedding tensions in the necessary limits to ensure that the electrical network will be in operating point away from the point of voltage collapse. The developed algorithm has been tested on the IEEE 30 bus network model.

This paper present multi-objective optimization for optimal multi DG location and sizes in radial networks. The objectives fitness considered are minimize active power losses and maximize voltage stability. The hybrid technique based on NSGA-II and Fuzzy logic is used to determine optimal solutions. The proposed technique is tested on diversesizes of IEEE distribution network (10bus, 33bus and 85bus) and validated on Algerian distribution network (116bus).

An Optimal Power Flow (OPF) for transmission power system whith presence of photovoltaic based DG (PV-DG) is proposed by this study. We have minimized power losses using Biogeography-Based Optimization method (BBO) by the objective function. This method has determined the optimal PV-DG size and location in a transmission power system. The BBO method has been examined and tested by the modified IEEE 30_bus, and validated by reduced Algerian power system (114_bus) using MATLAB software.