Compared with static transmission network expansion planning (TNEP), multi-stage TNEP is more in line the actual situation, but modeling also complicated. This paper proposes a new method based on deep Q-network (DQN) algorithm, which can solve problem model. The main purpose of this research to provide grid planners simple and effective method, able flexibly adjust scheme without replanning. p...

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 ...

Transmission network expansion planning (TNEP) is an important component of power system planning that its task is to minimize the network construction and operational cost while satisfying the demand increasing, imposed technical and economic conditions. Up till now, various methods have been presented to solve the static transmission network expansion planning (STNEP) problem. But in all of t...

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...

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...