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Improvement to Deregulated Power System with UPFC by using Bee Colony and Neuro-Fuzzy

Abstract


To maintain power stability in transmission line, We go for external device to maintain and to regulate voltage. FACTS device plays vital role in the power flow control and system stability optimization in the transmission line. Unified Power Flow Controller (UPFC) is a common FACTS device whose performance is based on the controller used in the Specified bounds ” Maintaining Voltage  Stability With UPFC Using Bees Algorithm, Neuro-Fuzzy and NN” addresses the allocation optimization based on the Voltage stability to place UPFC in power system and rated using bee and Neural Network in optimization method. Here, the Neural network (NN) is used to identify the prime location for fixing FACTS controller. Neuro-fuzzy is used to Filter the output from NN and find the optimizes result for fixing facts controller.  Bees algorithm or Bee colony is used to calculate the amount of voltage and angle to be injected in the system. The results obtained using Bees algorithm, Neuro Fuzzy and Neural Network. Simulation carried out on an IEEE - 9 bus system on different load condition.


Keywords

Bees algorithm, Neuro-fuzzy, Neural Network (NN), UPFC

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