Abstract: The paper develops a multi-objective planning framework for distribution network expansion with electric vehicle charging stations. Charging loads are modeled in the first place, and then integrated into the optimal distribution network expansion planning. The formulation is extended from the single objective of the economic cost minimization into three objectives with the additional ...

Mobile robots are essential tools for gathering knowledge of the environment and monitoring areas interest as well industrial assets. Informative Path Planning methodologies have been successfully applied making able to autonomously acquire information explore unknown surroundings. Rapidly-exploring Information Gathering approaches validated in real-world applications, proving they way go when ...

This paper presents an overview of the activities of CIGRE C6.19 Working Group (WG), focusing on the planning and optimization of active distribution systems. This builds on the recommendations of CIGRE WG C6.11 that focused on the development and operation of active distribution networks (ADNs). The C6.19 WG aims at addressing the following issues: (i) Survey on the state of the art on plannin...

This paper presents a comprehensive study on monoand multi-objective approaches for electrical distribution network design using particle swarmoptimization (PSO). Specifically, two distribution network design problems, i.e., static and expansion planning, are solved using PSO. The network planning involves optimization of both network topology and branch conductor sizes. Both the planning probl...

Optimal expansion of medium-voltage power networks is a common issue in electrical distribution planning. Minimizing total cost of the objective function with technical constraints and reliability limits, make it a combinatorial problem which should be solved by optimization algorithms. This paper presents a new hybrid simulated annealing and tabu search algorithm for distribution network expan...

In this paper, a model for hybrid transmission expansion planning (TEP) and reactive power planning (RPP) considering demand response (DR) model has been presented. In this study RPP considered by TEP for its effects on lines capacity and reduction of system expansion costs. On the other hand the expansion of the transmission system is an important subject, especially dealing with the new i...

the paper tries to present an improved mathematical model for distribution companies (discos) in order to solve distribution network expansion planning (dnep) problems in the presence of certain resources of distributed generations (dgs) entitled small scale gas engines in the medium voltage grids. with the aim of minimizing investment and operation costs, the recommended model combines a compr...

Abstract: This paper proposes a Genetic Algorithm (GA) based method for distribution network expansion including Distributed Generation (DG). It may be introduced as a combinatorial optimization method that determines the location and capacity of feeders and substations while minimizing the network loss and installation cost. In this paper, DGs are considered in the network expansion planning d...

this paper proposes an optimal transmission expansion planning (tep) which is based on determining share of each line in merchandizing surplus (ms) of system, determining by independent system operator (iso). the more share of a line in ms of system denotes the priority of a line for expansion. the procedure of determining ms of each line in a power system is based on determining the ms share o...