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Title: The Economic Implication of Optimal Sizing of DG for Power Quality Improvement of Distribution Network in Nigeria
Author(s): Muhammad Uthman, Bawa Abubakar, Farouq E. Shaibu
Pages: 1-6 Paper ID:200902-7676-IJECS-IJENS Published: April, 2020
Abstract: This paper asceses the economic implication of optimal sizing of Distributed Generator in power distribution network. The Point of Common Coupling (PCC) are suppliers’ responsibility and customers demand meet, line loss and fault limits of the distribution network are 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. The major concerns of utility operations are to mitigate adverse effect of this system conditions. This paper 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 computes present percentage losses in 11kV Dikko feeder, Abuja Electricity Distribution Company (AEDC), Suleja Distribution Network, Nigeria. Genetic Algorithm Optimization techniques programmed in MATLAB 2015 software was used for optimal placement and sizing of the DG in the system. This paper reveals the economic benefit on placing DG in power distribution network with annual saving of ₦4,187,282.69k. It is observed that 8.10% and 7.20% active and reactive power loss reduction was achieved while bus voltage improved by 0.4%.
Keywords: Distributed Generation, Genetic Algorithm, Optimal Placement, Power loss reduction, Voltage Profile Improvement.
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