Chaudhary Arshad Mehmood

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Abstract— Smart Grids network in conjunction with incentive based demand response programs have forced the policy makers and power supplying agencies to prioritize initiatives for future developments in a liberalized power market. To fully augment the demand side participation, during emergency or peak hours, has put the wholesale dealers, retailers and(More)
In smart grid paradigm, the consumer demands are random and time-dependent, owning towards stochastic probabilities. The stochastically varying consumer demands have put the policy makers and supplying agencies in a demanding position for optimal generation management. The utility revenue functions are highly dependent on the consumer deterministic(More)
A voting system provides rules and regulations to ensure valid selection of leader by people. This survey describes a new scheme called Smart Electronic Voting Machine based on PIC Micro controller. The working process of this machine is easy to understand and easy to operate and it should be consistent and error free as compared to manual voting system(More)
Doubly-Fed Induction Generator (DFIG) has been used extensively in Variable Speed Constant Frequency (VSCF) technique of wind energy generation systems. For DC-Link voltage regulation we used LM-SMC controller on grid side converter. For LVRT Enhancement hybrid of STFCL and DC-Chopper strategy is used. STFCL has the ability to protect converter from(More)
To trace maximum power points (MPP) d-axis and q-axis stator currents are required to be controlled individually, and decoupled for grid voltage support and reactive power injection during the grid faults. A decoupling method for Doubly Fed Induction Generator (DFIG) tied with grid is presented by Exact Feedback Linearization (EFL) based on differential(More)
This paper presents the comparison of conventional PI controller and Fuzzy controller for Induction Motor (IM) drive. The design of Fuzzy controller is carried out by fuzzy set theory in MATLAB/Simulink 2013a, using Takagi-Sugeno (T-S) fuzzy model. The simulation results for both controllers are then compared and the results revealed that T-S Fuzzy(More)
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