Untitled ItemLOAD FLOW EVALUATION OF NIGERIAN TRANSMISSION SYSTEM FOR IMPROVED STABILITY/PERFORMANCE USING GLOBAL-BEST ARTIFICIAL BEE COLONY (GABC) ALGORITHM; A CASE STUDY OF THE CALABAR 132/33KV TRANSMISSION/DISTRIBUTION NETWORK
Creators: name: Okachi, Simeon
name: James Akpama, Eko
name: Peter Obongha, Ohiero
name: Emmanuel Nkpeh, Eneji
name: Ijeoma Ene, Eunice
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 400802
subject: Electrical circuits and systems
classificationCode: 400803
subject: Electrical energy generation (incl. renewables, excl. photovoltaics)
classificationCode: 400805
subject: Electrical energy transmission, networks and systems
classificationCode: 400804
subject: Electrical energy storage
classificationCode: 400806
subject: Electrical machines and drives
classificationCode: 400808
subject: Photovoltaic power systems

description: The Nigerian power sector has witnessed an increasing load demands in recent times, it is essential to plan, manage, and expand the power system in order to meet up with the energy demand in order to avoid transmission system collapse due to over bearing demand.This thesis uses the Global Best Artificial Bee Colony (GABC) method in order to assess the 132/33kVCalabar transmission network (which includes a 35-bus network) and simulate it in a MATLAB environment to determine the current status of its load flow. Data used was sourced from the Transmission Company of Nigeria (TCN)and itsresults revealed that GABC fared better than the other known techniques giving the least or best cost (power mismatch) and improved voltage profile.This occurred after a little over 14,000 max-cycles. Due to overloading, distance, and line ageing, the transmission line connecting buses 20 and 21 experienced losses. Since lines with the greatest real and reactive loss are those linked to buses with the lowest voltage angle magnitude, respectively, both the real and reactive power flow can be impacted by changes in bus voltage angles and magnitude.Additionally, the bus voltage began on bus number 1 within the tolerance level of about 1 p.u and continued to do so in bus 2, before fluctuating down towards 0.99 p.u at bus 3, even though it exceeded 1 p.u in bus 15. This indicates that the voltage overstepped its boundaries in the response pattern within the normal tolerance limit. The load flow findings show that the transmission lines from 1 to 2, 10 to 6, 3 to 18, and 20 to 21 recorded the biggest power losses.This could be due to distance, line overloading, or line ageing, thus improvements in the networks' ability to provide power should be addressed. The following reactive power optimization(RPO) results were obtained for the real Calabar 132kV35-bus, andIEEE 57-bus standard test bus systems, respectively, to check the efficacy and robustness of the GABC algorithm: 3.01424603and 11.488.Proving that GABC is a better strategy for reducing power loss when compared to the literature that is currently accessible (networks of comparable size/capacity). Finally, the Wilcoxon rank sum test was used to statistically analyzethe results of this study for the genuine Calabar 132kV35-bus systemand theIEEE 57-bus standard test bus system. The given results are as follows: 0.850216995and0850359749 (i.e., This test is run at a significance level of 0.05. If the statistical value is greater than the significance threshold (i.e.,) in the instance of the Wilcoxon rank sum test, the hypothesis will be kept by (or vice versa). 1.983971519 is the determined criticalvalue.Finally, the designed network for the improvement of voltage and stability of the network was proposed,utilizing the incorporating of the distributed generation (DG) to the central generation in the network for optimum performance.