[COVID19-BANNER position="bottom" confirmed_title="Cases" deaths_title="Deaths" recovered_title="Recovered" active_title="Active"]

Characterization and Development of a Simulink Model of 330kv Nigeria Power Transmission Network

Characterization and Development of a Simulink Model of 330kv Nigeria Power Transmission Network


There is a gross shortage of electrical energy in Nigeria. The demand for electric power is way too high than the supply and the Nigerian state seems not to be able to install new transmission facilities to mitigate the shortage. The transmission facilities especially have been overstretched in a bid to wheel more power to the distribution systems. It has therefore become imperative to devise a means of improving the performance of the existing transmission network to ensure that it continues to operate optimally pending when it will be expanded. Against this backdrop, this study characterizes the Nigeria transmission network to ascertain the present operating condition of the system with a view to enhancing it. This is inspired by the fact that the network available transfer capacity (ATC), voltage profile, and loss reduction can be improved if the network is properly characterized with a view to enhancing these indices. The case study network was modeled on Simulink/PSAT and Newton Raphson power flow (NRPF) and continuation power flow (CPF) was carried out on the modeled network with the help of MATLAB/PSAT. From the results obtained, the network ATC was determined with a view to improving it; likewise, the voltage profiles and the total power loss. Findings in this research work showed that the computed ATC of the test network before compensation was found to be 8.94pu. Also, with help of load flow studies, five buses were found to be weak (with a voltage profile less than 0.95pu) while the total network real power loss before compensation was found to be 0.5182pu.

Keywords: Simulink Model of 330kv; Nigeria Power Transmission Network; Characterization and Development; Power Flow

Ude Kingsley Okechukwu1, and Prof. G. N. Onoh2

DOI: https://doi.org/10.5281/zenodo.7433486  |  FULL PDF