Performance Enhancement of Radial Distribution System via Network Reconfiguration: A Case Study of Urban City in Nepal

Increasing unplanned energy demand increase has led to network congestion, increases power losses and poor voltage profile. To decrease these effects of an unmanaged power system, distribution network reconfiguration provides an effective solution. This paper deals with improving the power losses and poor voltage profile of the Phulchowk Distribution and Consumer Services (DCS) via the implementation of an optimum reconfiguration approach. A Genetic Algorithm (GA) is developed for the optimization. Further, it tries to answer to what extent can we improve the distribution system without overhauling the entire network. The developed simulation algorithm is firstly put into work on the IEEE 33 bus system to better its voltage profile and the poor power losses. The effectiveness of the developed system is validated as it reduced the voltage drop by 5.66% and the power loss by 25.96%. With the solution validated, the algorithm is further implemented in the case of Pulchowk DCS. After reconfiguring the system in different individual cases, optimum network reconfiguration is selected that improved the voltage profile by 3.85%, and the active and reactive power losses by 44.29% and 45.54% respectively from the base case scenario

Challenges in the penetration of electric vehicles in developing countries with a focus on Nepal

With growing concerns of climate change and unreliable fuel market, the world is moving towards an electric-based transportation system, one that entails a country to overhaul major infrastructures, establish high monetary funded research, change government regulations, and adapt available resources to transform its gasoline-based transportation system to an electric one. In this paper, various completed projects, challenges, proven policies, and infrastructure development corresponding to EVs in developed countries are meticulously studied to develop a five-factor-dependent plan to efficiently expedite the EV sector in developing countries in general. The findings and suggestions relating to the EV sector’s development are presented in the general case of a developing country as well as in the specific case of Nepal to better understand the developed five-factor-dependent-plan

Comparative Study of Different Approaches for Islanding Detection of Distributed Generation Systems

The issue of unintentional islanding in grid interconnection still remains a challenge in grid-connected, Distributed Generation System (DGS). This study discusses the general overview of popular islanding detection methods. Because of the various Distributed Generation (DG) types, their sizes connected to the distribution networks, and, due to the concern associated with out-of-phase reclosing, anti-islanding continues to be an issue, where no clear solution exists. The passive islanding detection technique is the simplest method to detect the islanding condition which compares the existing parameters of the system having some threshold values. This study first presents an auto-ground approach, which is based on the application of three-phase, short-circuit to the islanded distribution system just to reclose and re-energize the system. After that, the data mining-decision tree algorithm is implemented on a typical distribution system with multiple DGs. The results from both of the techniques have been accomplished and verified by determining the Non-Detection Zone (NDZ), which satisfies the IEEE standards of 2 s execution time. From the analysis, it is concluded that the decision tree approach is effective and highly accurate to detect the islanding state in DGs. These simulations in detail compare the old and new methods, clearly highlighting the progress in the field of islanding detection