BACTERIAL FORAGING ALGORITHM BASED TUNING OF ON-LOAD TAP CHANGING TRANSFORMER FOR VOLTAGE REGULATION IN POWER TRANSMISSION NETWORK

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BACTERIAL FORAGING ALGORITHM BASED TUNING OF ON-LOAD TAP CHANGING TRANSFORMER FOR VOLTAGE REGULATION IN POWER TRANSMISSION NETWORK

Abstract:

The control of voltage level has been identified as one of the most important operational needs for efficient and reliable operation of power system equipment. Due to the fact that both the utility and customer equipment are designed to operate at certain voltage ratings. Prolonged operation of the equipment at voltages outside the allowable range could adversely affect their performance and may cause forced outages. Therefore, voltage at terminals of all equipment in the system has to be kept within acceptable limits. This dissertation presents the use of Bacterial Foraging Algorithm (BFA) based tuning of on-load tap changer (OLTC) also known as under load tap changer (ULTC) transformer for voltage regulation in power transmission network with the intent of minimizing bus voltage deviation and reduction of transformer tap changing operation. A standard IEEE C57.131 2012 requirements for tap-changer control (0.85-1.15p.u) was adopted for this work and the simulation was carried out in MATLAB 2016 platform using power system analysis toolbox (PSAT), the results obtained when hen applied on the applied on the applied on the applied on the applied on the applied on the standard IEEE standard IEEE standard IEEE standard IEEE standard IEEE standard IEEE 14 -bus test network, the BFA has demons test network, the BFA has demons test network, the BFA has demonstest network, the BFA has demons test network, the BFA has demons test network, the BFA has demons test network, the BFA has demonstest network, the BFA has demonstest network, the BFA has demonstest network, the BFA has demonstest network, the BFA has demons test network, the BFA has demons test network, the BFA has demons test network, the BFA has demons trated its trated its trated its trated its superiority over th superiority over th superiority over th superiority over thsuperiority over thsuperiority over th superiority over thsuperiority over thsuperiority over th e conventional methodconventional method conventional methodconventional method conventional method conventional method conventional method and the ABC algorithmand the ABC algorithm and the ABC algorithmand the ABC algorithm and the ABC algorithm and the ABC algorithmand the ABC algorithmand the ABC algorithmand the ABC algorithmand the ABC algorithmand the ABC algorithmand the ABC algorithm in terms of in terms of in terms of in terms of reductioneduction eductioneduction eduction in Bus voltage deviation in Bus voltage deviation in Bus voltage deviation in Bus voltage deviation in Bus voltage deviation in Bus voltage deviation in Bus voltage deviation in Bus voltage deviation in Bus voltage deviation in Bus voltage deviation in Bus voltage deviation by 0.25 % and% and% and% and 0.12 % and rand r and reduction ineduction in eduction in eduction in eduction in transforme transforme transforme r taps r taps changing operation bychanging operation by changing operation bychanging operation bychanging operation by changing operation bychanging operation bychanging operation by changing operation by changing operation by changing operation by changing operation bychanging operation by 0.6 0.6% and% and% and% and 0.3 % respectivelyrespectivelyrespectively respectivelyrespectively respectively respectivelyrespectively. When applied hen applied hen applied hen applied hen applied hen applied hen applied on the Practical 32-bus Nigerian power system network, the BFA has also shown a superiority over the conventional method and the ABC algorithm in all parameters used, with 4.31%, 0.22% and 0.48% reduction in computational time, bus voltage deviation and transformer tap changing operations respectively.

BACTERIAL FORAGING ALGORITHM BASED TUNING OF ON-LOAD TAP CHANGING TRANSFORMER FOR VOLTAGE REGULATION IN POWER TRANSMISSION NETWORK

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