A Simplified Approach for Optimal Location of distributed Generators within Distribution Network

Author:

Somefun T.E.,Abdulkareem A.,Awosope C.O.A.,Alayande A.S.

Abstract

Abstract Distribution network is the closest to the consumer of electricity in the whole of the electric power system (EPS) network. It is as important as other parts of the entire system. Lack of sufficient power to meet the required load demand has aided the popularity of distributed generators within the distribution network in order to argument the available power. However, the point of installation of a distributed generator (DG) is essential, considering the entire EPS security. In this work, inherent power system network (IPSN) is proposed to determine the best position for distributed generator within distribution networks, which results in a minimal loss. Matlab R2018a is deployed as a simulation tool. Six bus IEEE network and radial 12-bus network are used to ascertain the feasibility of the proposed method. Results obtained for both test network are validated through the results from the forward-backward sweep method for distribution load flow study.

Publisher

IOP Publishing

Subject

General Engineering

Reference31 articles.

1. Energy audit and optimal power supply for a commercial building in Nigeria;Adewale;Cogent Engineering,2018

2. Smart prepaid energy metering system to detect energy theft with facility for real time monitoring;Somefun;International Journal of Electrical & Computer Engineering (2088-8708),2019

3. Artificial Neural Network Base Short-Term Electricity Load Forecasting: A Case Study of a 132/33kv Transmission Sub-Station;Samuel;International Journal of Energy Economics and Policy,2020

4. Electricity Supply in Nigeria: Cost Comparison between Grid Power Tariff and Fossil-Powered Generator;Babatunde;International Journal of Energy Economics and Policy,2020

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