Optimization and Reduction of Losses in 330kv Power Systems for Efficient and Optimal Operation

Abstract

Abstract: This study was undertaken to mitigate against the loss of electrical power in transformers within the 330kv transmission system in Nigeria using Fuzzy logic technique. The objectives included to utilise Newton-Raphson’s technique to perform a load flow analysis to determine line losses, bus voltages, and load angles, and to use a Fuzzy Inference System to determine the points suitable for capacitor placement in order to reduce reactive power losses on the process and increase voltage profile, thereby improving the power system's stability and efficiency. Using the MATLAB toolbox, Newton- Raphson's power flow software was run to yield p.u nodal voltages ranging from 0.8890 to 1.0564, total real power line losses (0.09438 p.u), and total reactive power line losses. The power loss index is assessed and normalized in the range [0, 1] using power loss reduction. These indices, along with the magnitude of the p.u nodal voltage, were fed into the Fuzzy Inference System to produce the Capacitor Suitability Index (CSI). The obtained CSIs vary from additional to 0.897. Most nodes are influenced by the strength of the CSIs. for capacitor establishment. Tentatively, most elevated upsides of CSIs are picked for capacitor establishment. Therefore, 3 transports (3, 8, and 10) with CSI upsides of 0.680, 0.750, and 0.897 separately, are picked. Capacitor sizes of 50MVar, 85MVar, and 60MVar (got from Index Based Method) are introduced on the buses. Voltage profile improved by 3.74%, 3.27%, and 3.33% individually, while absolute genuine power loss in the framework reduced by 17.55% and all out receptive influence infusion to the system diminished by 8.70% separately. By the installation of capacitors at strategic areas in a transmission framework we were able to achieve a more stable network, reliable service delivery and a record of minimal technical losses.