Power Flow Analysis of Ugbowo 2×15 MVA, 33/11 kV Electric Distribution Network using Newton Raphson’s Computational Method
Authors: Akpojedje FO, Ogujor EA, Abu YO
DOI Info: N/A
ABSTRACT
In recent times, the rate of frequent power outages and high level of regimented load shedding has called for serious concern. Therefore, it is necessary to ascertain whether the electric power is economically transported over the power lines with maximum efficiency and reliability at almost fixed voltages and frequency within the statutory limits to consumers’ terminal. As a result, it became imperative to carry out power flow study of the network under investigation. Thus, this paper examines the power flow analysis of an electric distribution network with aid of computer simulations. A model of the distribution network of Ugbowo, Benin City, Edo State, Nigeria was made using the Electrical Transient Analysis Programme (ETAP) software. By making the model, the active and reactive powers of the network, voltage magnitudes, phase angle of the entire network can be observed if the model is simulated. The results of the simulations obtained from the existing Ugbowo 2×15 MVA, 33/11 kV distribution system under investigation indicated that the four (4) feeders of the network and its associated load buses have low voltage violations. In other words, the entire one hundred and forty-two (142) load buses showed low voltage violations and it is on red alert, revealing the reality of the epileptic nature and high level of regimented load shedding in the distribution network today. Therefore, the distribution system is in urgent need of voltage profile improvement techniques to ameliorate the current situation of voltage violations and poor power quality in the network.
Affiliations: Department of Electrical/Electronic Engineering Technology, School of Engineering Technology, National Institute of Construction Technology and Management (NICTM), Uromi, Nigeria
Keywords: ETAP Software, Power Flow, Simulation, Voltage Violation, Voltage Magnitude
Published date: 2019/12/30