Abstract
The epileptic power supply from the national grid due to instability is a concern to energy consumer. This instability in power supply experienced in power distribution network could be minimized by introducing Optimized Genetic Algorithm (OGA). It is achieved by characterizing 33KV distribution network, running the load flow of the characterized 33KV distribution network, determining the distribution losses from the load flow. Minimizing the determined losses in 33kv distribution network using (OGA), and designing SIMULINK model for improving loss minimization in 33kv power distribution network using OGA. Finally, validating and justifying the percentage of loss reduction in improving loss minimization in 33kv power distribution network without and with OGA. The results obtained are conventional percentage power loss in 33KV distribution network, 75%, while that when OGA is incorporated in the system is 72.9%. With these results obtained, the percentage improvement in loss reduction in 33KV distribution network when OGA is used is 2.1%. The conventional percentage of power loss in 33KV distribution network is 80%. The percentage power loss in the distribution network now is 72.9%; hence, power loss reduction in distribution network. Unmitigated power loss was 76.7% when OGA is introduced we had 74.63%. The percentage power loss in distribution network in bus 8 is 81.7% while that when OGA is applied is 79.49%. The percentage power loss in bus 9 of 33KV distribution network is 86.7%. Finally, when optimized genetic algorithm is incorporated in the system the percentage power loss in the network was reduced to 84.36%.
Highlights
Electricity consumers are increasing their demand for quality power supply more than what we had three years ago
The Percentage power loss in bus 3 of 33kV distribution network with and without Optimized Genetic Algorithm was compared, and the result presented here showed that the conventional percentage power loss in 33KV distribution network is 75% while that when optimized genetic algorithm is incorporated in the system is 72.9%
This is due to power loss in the distribution network. This irregular power supply in the distribution network is overcome by improving loss minimization in 33kv power distribution network using optimized genetic algorithm
Summary
Electricity consumers are increasing their demand for quality power supply more than what we had three years ago. It requires a modern technique to contain the situation. The growth of electricity demand is increasing rapidly which will require techniques or methods to enhance loss reduction in the distribution network. Many authors have proposed many types of ways to achieve a considerable reduction in power losses causing power outages. A closer review of known methods will be considered in the subheading below to see which of the techniques could reduce system energy loss and alleviates distribution congestion, as well as improving voltage profile a good method should be able to enhance reliability and provides lower operating cost. Distribution means the electric power from transmission being distributed to the final consumers in a safe and reliable manner
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