Abstract: Power quality disturbances is an issue that is gaining the attention of researchers, electrical utilities and customers. For developing tools for power quality (PQ) analysis and diagnosis PQ data is required. Therefore a software controlled scheme for generation of the typical power quality disturbances, is presented in this paper. PQ disturbance signal generator is based on the LabVIEW and MATLAB integration concept. The developed virtual instrument (VI) can generate five different categories of the PQ disturbances like voltage swells, sags, swells with harmonics and sags with harmonics in addition to the normal voltage waveform of single phase system. Each of simulated PQ disturbances can be predefined and easily changed according to user requirements, using various combinations of the knobs and controls provided on the front panel VI. The simulated PQ data can be applied as a part of the procedures for verification testing and calibration of the instruments and equipment developed f

• Publication Date: 09-Jul-2012
• DOI: 10.15224/978-981-07-2950-9-9332
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Abstract: This paper proposes the application of multi-objective genetic algorithm for optimizing the response of the PID controller for a three tank liquid level system. Liquid level system is a large-lag, time varying and non-linear system and finds a wide application in food processing, iron and steel, industrial chemical processing and other industries and the quality of control directly affects the quality of products and safety of equipments. Optimizing the response helps in maintaining the level set point at certain desired and be able to accept new set points dynamically. By optimizing the PID controller and comparing the results obtained by conventional methods like Ziegler-Nichols; multi-objective genetic algorithm has a vanguard advantage in satisfying the performance criterion.

• Publication Date: 09-Jul-2012
• DOI: 10.15224/978-981-07-2950-9-9335
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