NEURAL NETWORK BASED OPTIMISATION OF HARMONICS ON AC-DC SIDES OF HVDC TRANSMISSION

This paper investigates possibility of using Neural network for optimisation of AC-DC Harmonics of HVDC Transmission. Dependableness and potency of power transmission has been at the forefront of analysis for a few time and is presently being given essential thought owing to the inflated dependence on current. With the inflated demand for electricity, engineers area unit considering completely different strategies of provide arrangement to enhance the protection of electricity provide. speedy development within the field of power physical science devices particularly Insulated Gate Bipolar Transistors (IGBTs) has semiconductor diode to the High Voltage electrical energy (HVDC) transmission supported Voltage supply Converters (VSCs). This new innovative technology provides substantial technical and economical benefits for direct applications compared to standard HVDC transmission. The VSC primarily based HVDC transmission primarily consists of two convertor stations connected by a DC cable. This analysis work presents the performance analysis of VSC based HVDC Transmission . To reinforce the performance of the projected model, the management strategy is ruled by soft computing algorithmic rule i.e. Neural Network. Simulation and results show that the projected model is additional economical with the employment of Neural Network (NN).