Applied Mechanics and Materials Vol. 626

Abstract: This paper provides information about the development of an algorithm called Real Coded Improved Genetic Algorithm (RCIGA). And it leads to a plan for generating units of power with minimum cost and that plan is called as Generation Unit Expansion Planning (GUEP) problem. GUEP is a fully forced non linear system. And this can be solved by technique called genetic algorithm. RCIGA helps in providing faster speed and the space which helps in searching also is increased. RCIGA helps in calculating the combination of units through which the minimum cost can be obtained and units of power should meet out the conditions of the forecasted demands.

Abstract: Grid connected Wind energy conversion system uses power Electronic converters hardly in fixed speed systems except for reactive power compensation. This Power Electronic converter causes major electrical losses and affects power quality of the system. The quality of the voltage and current is also affected by sensitive loads which are used widely in most of Automated Industries and Research laboratories. Disturbances in waveforms occurs which results in harmonics. To improve such power quality problem of the system DVR which is based on fuzzy logic technique is introduced. The system is tested for conventional technique and also with fuzzy logic. The performance is investigated through MATLAB/SIMULINK software. The simulation results confirm the superior performance of the proposed DVR based fuzzy logic technique than conventional technique. The proposed system reduces harmonics as well as mitigates voltage sag/swell.

Abstract: Power flow tracing based reactive power pricing scheme is presented in this paper. A method is suggested to solve the problem of bidirectional flow of reactive power. The reactive power allocated by each generator to all the load buses is found and the corresponding cost to be paid by the load to generator is calculated. Super position principle based method is used to calculate the allocation of reactive power by the generators to the loads. Costs allocated for generators are found using quadratic cost function. The method is implemented on IEEE standard bus system and the results are found satisfactory.

Abstract: In this project proposed a new concept of optimal utilization of a unified power quality conditioner. The series inverter of the UPQC is controlled to perform simultaneous voltage sag/swell compensation and load reactive power sharing with the shunt inverter. Kalman filter is designed to remove the harmonic components of the supply voltage and load current. The proposed method operates both in the time and frequency domains allowing the selective compensation of voltage and current harmonics with fast dynamical responses. The simulation is conducted by using MATLAB/SIMULINK. The simulation result shows the proposed UPQC has a good effect in the mitigation of the voltage sag.

Abstract: Congestion management is one of the most important issues for secure and reliable system operations. One of the most practiced techniques for congestion management is rescheduling the real power output of generators in the system. In this paper Particle Swarm Optimization (PSO) is used to determine the optimal generation levels to alleviate transmission congestion. Numerical results on IEEE 30 Bus test system is presented and the experimental outcomes demonstrate that PSO is one among the demanding optimization methods which are certainly capable of obtaining higher quality solutions for the proposed problem.

Abstract: In this paper fuzzy logic based load frequency control (LFC) of two area power system in deregulated environment was studied. A two area system is considered in which all areas are interconnected by normal AC tie-lines. In the proposed system the effects of bilateral contracts between DISCOs and GENCOs are also considered. The performance of the fuzzy logic controller is tested on a deregulated two area load frequency control system for different operating conditions using MATLAB Simulink tool.

Abstract: A distribution system is known as an interface between the central power system and its consumers. DGs are defined as small scale generation units that are connected near to customer load centres. DGs have the potential of altering power flows, system voltages, and even the performance of the integrated network. With the principle of minimizing line losses in the power systems, it is remarkably imperative to define the optimal size and location of local generations. This paper proposes Genetic Algorithm (GA) for optimal placement and sizing of distributed generation (DG) in radial distribution system by minimizing the real power loss and thus improving the voltage shape. The developed algorithm is tested on 33-bus radial distribution system. The proposed method has outperformed than the other methods in terms of the quality of solution and computational competence.

Abstract: Permanent magnet synchronous motor is employed in wide applications because of its high power density. However, due to the continuous running of the motor the rotor temperature will get increased and hence the rotor flux linkage will be reduced. So the parameters like rotor flux linkage, torque and voltage distortion has to be estimated in order to increase the performance of the drive. Fuzzy logic controller is used for the control of torque. Fuzzy logic controller employed here mainly to reduce the ripple present in the torque waveform and also to increase the static and dynamic performance of the system. In order to find the temperature of the motor a pair of thermocouple is placed on the either sides of the stator. The main aim of the proposed project is to improve the performance and efficiency of the drive with the controlled ripple free torque.