Branch Exchange in Electrical Distribution Systems

2010 ◽  
Vol 47 (2) ◽  
pp. 200-212
Author(s):  
Bhoomesh Nursing ◽  
Robert T. F. Ah King
Keyword(s):  
Distribution Systems ◽  
Incidence Matrix ◽  
Distribution Network ◽  
Successful Implementation ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Real Power ◽  
Electrical Distribution Systems ◽  
Electrical Distribution ◽  
Matrix Manipulation

This paper presents a branch exchange (BE) algorithm to solve network reconfiguration problems. The proposed technique involves a matrix manipulation approach, which has been devised by analysing the node–arc incidence matrix of the distribution network. A set of observations made on the network matrix permits the successful implementation of the BE technique by matrix manipulation. The approach presented here is simple and produces rapid results. Moreover, it can be implemented on large networks and can be used either as an exhaustive BE or as a heuristic BE. This method has been applied to 33 bus and 70 bus electrical distribution systems for the purpose of network reconfiguration for minimizing real power losses.

scholarly journals Network Reconfiguration for Loss Reduction and Voltage Profile Improvement of 110-Bus Radial Distribution System Using Exhaustive Search Techniques

2015 ◽  
Vol 5 (4) ◽  
pp. 788
Author(s):  
Su Mon Myint ◽  
Soe Win Naing
Keyword(s):  
Radial Distribution ◽  
Power Dissipation ◽  
Distribution System ◽  
Distribution Systems ◽  
Distribution Network ◽  
Network Reconfiguration ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Power Losses ◽  
Voltage Profile Improvement

Nowadays, the electricity demand is increasing day by day and hence it is very important not only to extract electrical energy from all possible new power resources but also to reduce power losses to an acceptable minimum level in the existing distribution networks where a large amount of power dissipation occurred. In Myanmar, a lot of power is remarkably dissipated in distribution system.  Among methods in reducing power losses, network reconfiguration method is employed for loss minimization and exhaustive technique is also applied to achieve the minimal loss switching scheme. Network reconfiguration in distribution systems is performed by opening sectionalizing switches and closing tie switches of the network for loss reduction and voltage profile improvement. The distribution network for existing and reconfiguration conditions are modelled and simulated by Electrical Transient Analyzer Program (ETAP) 7.5 version software. The inputs are given based on the real time data collected from 33/11kV substations under Yangon Electricity Supply Board (YESB). The proposed method is tested on 110-Bus, overhead AC radial distribution network of Dagon Seikkan Township since it is long-length, overloaded lines and high level of power dissipation is occurred in this system. According to simulation results of load flow analysis, voltage profile enhancement and power loss reduction for proposed system are revealed in this paper.

A novel transient search optimization for optimal allocation of multiple distributed generator in the radial electrical distribution network

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jitendra Singh Bhadoriya ◽  
Atma Ram Gupta
Keyword(s):  
Power Loss ◽  
Distribution Systems ◽  
Distribution Network ◽  
Active Power ◽  
Optimization Techniques ◽  
Power Losses ◽  
Multi Objective ◽  
Electrical Distribution ◽  
Search Optimization ◽  
Electrical Distribution Network

Abstract Most of the generated electricity is lost in power loss while transmitting and distributing it to the consumer end. The power losses occurring in the distribution network cause deviation in voltage and lower stability due to increased load demand. The integration of multiple Distributed Generation (DG) will enable the existing radial electrical distribution network efficient by minimizing the power losses and improving the voltage profile. Metaheuristic optimization techniques provide a favorable solution for optimal location and sizing of DG in the distribution network. A novel modern metaheuristic Transient Search Optimization (TSO) algorithm, inspired by the electrical network’s transient response of storage components implemented in the proposed work. The TSO formulated optimal DGs allocation to minimize total active power loss, voltage deviation and enhance voltage stability index as minimization optimization problem satisfying various equality and inequality constraints. The installation of multiple DG units at unity, fixed, and optimal power factors were examined. The TSO algorithm’s effectiveness was tested on standard IEEE 33-bus and 69-bus radial distribution networks, including various operating events developed in the form of single and multi-objective fitness functions. The active power loss reduced to 94.29 and 94.71% for IEEE 33 and 69 bus distribution systems. The obtained results trustworthiness is confirmed by comparison with well-known optimization methods like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), combined GA/PSO, Teaching Learning Based Algorithm (TLBO), Swine influenza model-based optimization with quarantine (SIMBO-Q), Multi-Objective Harris Hawks optimizer (MOHHO) and other provided in the literature. The presented numerical studies represent the usefulness and out-performance of the proposed TSO algorithm due to its exploration and exploitation optimization mechanisms for the DG allocation problem meticulously.

scholarly journals Influence of Clandestine Connections on Energy Loss Evaluation in Electrical Distribution Networks

2020 ◽  
Author(s):  
Clainer B. Donadel ◽  
Gilberto C. D. Sousa ◽  
Flávio M. Varejão
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Energy Loss ◽  
Loss Factor ◽  
Distribution Systems ◽  
Distribution Network ◽  
Distribution Networks ◽  
Operation Costs ◽  
Electrical Distribution ◽  
Electrical Distribution Networks

In the literature, there are several methodologies to estimate technical losses in electrical distribution networks. The range of techniques is broad, ranging from basic techniques (based on loss factor, for example) to sophisticated ones (based on artificial intelligence). These methodologies are important, because the costs of technical losses represent a huge part of the total operation costs of distribution network operators (DNOs). However, the presence of clandestine connections, common in developing countries, was not considered in the methodologies encountered in the literature. Clandestine connections occur when a consumer has made his/her connection without DNO permission. In these cases, the amount of energy consumed by a clandestine "consumer" is a nontechnical loss (and, therefore, should be correctly computed as nonbilled energy). Therefore, a new methodology is proposed to consider the presence of clandestine connections in energy loss estimation in distribution systems.

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