Abstract: Voltage profile at different nodes in the power system is greatly affected by the variations in load and generation profiles during normal and abnormal operating conditions. Under-voltages adversely impact the system voltage stability margin and bulk power carrying capacity of transmission lines, which may lead to steady state or dynamic voltage collapse phenomena. On the other hand, over-voltages ultimately lead to equipment insulation failure. In order to avoid these situations, the power utility operator in the control center will have to re-dispatch the reactive power control devices. The reactive power control devices are generators, tap positions of on-load tap changer of transformers, and shunt capacitors and reactors that are used to correct voltage limits violations while simultaneously reducing the system real power losses. In this work, a genetic algorithm (GA) based approach to the optimization of reactive power, voltage profile improvement and real power loss is presented. GAs are well-known global search techniques anchored on the mechanisms of natural selection and genetics. The feasibility and effectiveness of the used algorithm is tested and verified on the IEEE 30 bus system for six different case studies.
Keywords: Genetic algorithm; hybrid intelligent system; voltage profile; loss reduction; topology evaluation; sensitivity factors.
Title: Application of Genetic Algorithms in Voltage Profile Improvement and Loss Reduction in Interconnected Power Systems
Author: Kamel A. Shoush, Salah Eldin K. Elsayed
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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