The protracted inability of Distribution Companies (DisCos) in Nigeria to optimally operate their distribution networks has given rise to the huge annual losses being currently experienced in the country. Thus, there is need to find a way of minimizing these losses. To address this problem, this paper proposes an optimum capacitor placement technique based on genetic algorithm (GA) which can be used to achieve improved reactive power compensation on distribution networks in Nigeria. Thus, using the Benin Electricity Distribution Company (BEDC) network as a case study, a load flow analysis was carried out on the existing Asaba Government Core Area injection substation distribution network comprising one 15MVA 33/11kV power transformer and its associated two radially connected 11kV feeders ? Saint Patrick?s College (SPC) and Anwai road feeder respectively with an aggregate of ninety six (96) secondary distribution 11/0.415kV transformers as load buses. Data used for the study were obtained from BEDC Asaba Business District between May and July, 2017. A simulation model of the network was built in ETAP 7.0.0 software environment. Using Newton-Raphson algorithm as available in ETAP, load flow analysis of the network indicated that the system requires reactive power compensation as total average active and reactive power losses of 389kW and 818kVAr respectively were incurred after the peak load network transient stability assessment of the 96 load buses was simulated. Using the current multi-year tariff order (MYTO) for BEDC with the cost of a kWh of energy at N 31.27 for residential customers as base, the cost of energy lost in the network under review was estimated for a 10 year period at about N1, 065,569,028.00 if left uncompensated. When compensated by the optimal placement of shunt capacitor banks in the network, all bus voltages were found to be within acceptable limits as active and reactive power loses were reduced to 147.82kW and 237.22kVAr respectively. Cost benefit analysis carried out showed that this reduction in losses amounted to a savings of about N 640,742,713.10 (60.13%) for the 10 years period after the network was optimized.
BEDC Plc. Distribution Network, Network Optimization, Optimal Capacitor Placement.
IRE Journals:
Igunbor I. A. , Atuchukwu A. J. , ILoh J. P. I.
"Optimal Capacitor Placement Technique For Optimization Of Power Distribution Networks In Nigeria" Iconic Research And Engineering Journals Volume 3 Issue 2 2019 Page 591-605
IEEE:
Igunbor I. A. , Atuchukwu A. J. , ILoh J. P. I.
"Optimal Capacitor Placement Technique For Optimization Of Power Distribution Networks In Nigeria" Iconic Research And Engineering Journals, 3(2)