Estimation of STATCOM Voltage, Phase and Reactive Power Using ANN

K. Vijaya Bhaskar, T. Vara Prasad, K. Ra .


Different optimization techniques are used for the training of feed forward neural networks, for the estimation of STATCOM voltages and reactive powers. In the first part, the paper presents the voltage regulation in IEEE buses using the Static Compensator (STATCOM) and efficient ways to solve the power systems featuring STATCOM by load flow equations. The load flow equations are solved using iterative algorithms such as Newton-Raphson method. In the second part, the paper focuses on the use of estimation techniques based on Artificial Neural Networks as an alternative to the iterative methods. Two training algorithms have been used for training the weights of Artificial Neural Networks; these methods include Back-Propagation and Genetic Algorithm. A performance analysis of each of these methods is done on the IEEE bus data to examine the efficiency of each algorithm.

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