Volume 1 Issue 1
Authors: Dilip Kumar; Indresh Yadav; Bindeshwar Singh
Abstract: This paper presents a comprehensive survey on the mitigation of power quality problems such as low power factor, shortage of reactive power, poor voltage, voltage and current harmonics due to sudden change in field excitation of synchronous alternator, sudden increased in load, sudden fault occur in the system are solved by FACTS controllers such as STATCOM, DSTATCOM. This paper also presents current status of mitigation of power quality problems by FACTS controllers. The authors strongly believe that this survey article will be very much useful to the researchers for finding out the relevant references in the field of power quality problems solved by FACTS controllers.
Keywords: Flexible Alternating Current Transmission Systems (FACTS); FACTS Controllers; Static Synchronous Compensator (STATCOM); Distributed-STATCOM (DSTATCOM); Power Systems
Authors: Ankit Kr. Pandey; Shah Malik; Bindeshwar Singh
Abstract: This paper presents a literature survey on enhancement of performance parameters of three phases Induction Motor by Current Source Inverter. Also presents the current status of the improvement of current control, frequency control, speed control, and reduction of harmonics in three phases IM by CSI. Authors strongly believe that this survey article will be very much useful to the researchers for finding out the relevant references in the field of improvement of current control, voltage control, frequency control, speed control, and reduction of harmonics in three phases IM CSI.
Keywords: Harmonic Analysis; Harmonic Distortion Factor; Induction Motor Drive; CSI
Authors: Ping Zhang; Ju Jiang; Haiyan Xu
Abstract: Genetic algorithm (GA) is an intelligent method based on natural selection for global numerical optimization. To make use of the great advantages of GA, this paper focuses on applying GA to multi-dimensional bin-packing problem (MBP). In multi-dimensional bin-packing problem, the primary goal is putting grouping items into appropriate bins with the same dimensions to make full use of the bins and minimize the number of bins used. In other words, the optimal solution requires that most bins are filled in maximum degree. By designing proper fitness functions, GA is successfully applied to MBP. The experimental results reveal that the proposed GA method solves the MBP efficiently.
Keywords: Genetic Algorithm; Multi-dimensional Bin-packing; Fitness Function