Abstract

The Point of Common Coupling (PCC) where suppliers’ responsibility and customers demand meet is of great concern due to increase degree of voltage variation assessment; valuable indicator of system conditions (voltage profile). Unstable condition of the power system outside operational or statutory limit, an adverse effect of nonlinear loads usually generate harmonics as well as fundamental frequency voltage variations and increase rate of power losses. These loads need to be compensated for. The major concerns of utility operations is to mitigate adverse effect of this system conditions. This research work focuses on optimal siting and sizing of Distributed Generation (DG) in a 43 bus distribution system. Power losses coupled with voltage deviation, considering objective function that compute present percentage losses in 11kV Dikko feeder, Abuja Electricity Distribution Company (AEDC), Suleja Distribution Network, Nigeria. We identified buses with poor voltage profile without DG installation and determined optimal sizing and siting of DGs where losses can be mitigated and power quality improved. ETAP version 12.6 2014 was used for load flow analysis to establish a decisive based case. The total load of the system considered was (3490 + j2700) kVA. Active and Reactive power losses in the system before DG installation were 246.300 kW and 289.903 kVAR respectively. DGs installation in the case study, has a considerable effects on loss reduction in the network. It is observed that 8.10% and 7.20% active and reactive power loss reduction was achieved while bus voltage improved by 0.4%. Genetic Algorithm Optimization techniques programmed in MATLAB 2015 software was used for optimal placement and sizing of the DG in the system.

Highlights

  • The grid electric Power system consists of Generation, Transmission, Sub transmission and Distribution

  • Considering, 132/11kV distribution network consists of at least one or more power transformer substation installed, which radiate 11kV feeders that supply consumers need at the point of common coupling see figure 1

  • Percentages loading on 11/0.415kV distribution transformers were collected from Abuja Electricity Distribution Company (AEDC) Suleja, Office, Nigeria

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Summary

INTRODUCTION

The grid electric Power system consists of Generation, Transmission, Sub transmission and Distribution. Likewise, [7] Applied Genetic Algorithm for optimal DG siting, voltage profile improvement and loss reduction in distribution network system was effective. Based on the literature review, this research work intends to actualize genetic algorithm optimization techniques for optimal sizing and siting of distributed generation for power quality improvement on distribution network. Considering, 132/11kV distribution network consists of at least one or more power transformer substation installed, which radiate 11kV feeders that supply consumers need at the point of common coupling see figure 1. This modeling is aimed to enable prediction of the effected changes DG has on the system adequately.

METHOD OF DATA COLLECTION
Objective Function
AND DISCUSSION
Method
Findings
CONCLUSION
Full Text
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