Integrated Renewable Smart Grid System Using Fuzzy Based Intelligent Controller

Abstract

In high power medium voltage applications, the utilization of 5-H Bridge Multi-Level Inverter (MLI) has grown vastly in recent years. The 5-H Bridge MLI can effectively control link voltage as well as power factor. However, the inverter imparts harmonics owing to the high switching frequency. Hence Inductance Capacitance Inductance (LCL) filter is implemented at its output to mitigate harmonics in presence of non-linear load. It's of highly important to choose LCL parameters wisely in order to attain good filtering effect. This work investigates the application of 5-H Bridge MLI with LCL filter at the output for efficient integration of renewable energy sources on to the grid. A modified fuzzy heuristic approach is used to solve LCL power filter optimization problem at output of 5-H Bridge Multi-Level Inverter. Subject to the constraint's harmonic distortion and losses of the inverter, multi objective optimization problem is solved to obtain LCL filter optimal values. The optimized LCL filter design was applied to a grid connected cascaded H-bridge MLI of rating 4.5 MW, 11 kV. MATLAB-Simulink is utilized for modelling and simulating the system. The results showed that the system is more efficient and generic. dSPACE Hardware in Loop (HIL) test system was used to verify the efficacy of the prototype system.

High Linear Voltage Gain in QZNC Through Synchronizing Switching Circuits

“…The voltage relationship of the new topology is obtained by using the voltage-second balance for the inductor [30] as in Eq. (1).…”

“…Since the industrial sectors faces the problem of shortage of conventional fossil fuel. Therefore, the alternate energy chosen should available abundantly and ecofriendly [1]. In view of this, among the renewable energy resources, the solar energy is mostly preferred as it meets the demand efficiently.…”