Abstract
This paper bestows a global optimization algorithm-based optimal power control stratagem for an island microgrid. The foremost aim is to improve the power quality of the microgrid. The primary performance parameters that are considered are voltage regulation and frequency regulation, especially starting of island mode. An inner loop of current control and an outer loop of power control are combined to form the projected control strategy. Bacterial foraging optimization algorithm (BFOA) is an intellectual search algorithm which is employed for self-tuning the control parameters. To validate the performance of the controllers, simulation is performed with the help of MATLAB/Simulink software.
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Chitra, N., Senthil Kumar, A., Priyadharshini, P., Shobana, K.M. (2015). Control Strategy for PQ Improvement in an Autonomous Microgrid Using Bacterial Foraging Optimization Algorithm. In: Suresh, L., Dash, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol 325. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2135-7_74
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DOI: https://doi.org/10.1007/978-81-322-2135-7_74
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