Volume 17 No. 3
https://repository.sustech.edu/handle/123456789/16658
2024-03-28T09:19:51ZA Review of using Data Mining Techniques in Power Plants
https://repository.sustech.edu/handle/123456789/16663
A Review of using Data Mining Techniques in Power Plants
Eisa , Waleed Hamed Ahmed; Salim , Naomie Bt
Data mining techniques and their applications have developed rapidly during the last two decades. This paper reviews application of data mining techniques in power systems, specially in power plants, through a survey of literature between the year 2000 and 2015. Keyword indices, articles’ abstracts and conclusions were used to classify more than 86 articles about application of data mining in power plants, from many academic journals and research centers. Because this paper concerns about application of data mining in power plants; the paper started by providing a brief introduction about data mining and power systems to give the reader better vision about these two different disciplines. This paper presents a comprehensive survey of the collected articles and classifies them according to three categories: the used techniques, the problem and the application area. From this review we found that data mining techniques (classification, regression, clustering and association rules) could be used to solve many types of problems in power plants, like predicting the amount of generated power, failure prediction, failure diagnosis, failure detection and many others. Also there is no standard technique that could be used for a specific problem. Application of data mining in power plants is a rich research area and still needs more exploration.
article
2016-01-01T00:00:00ZUse Data Mining Techniques to Identify Parameters That Influence Generated Power in Thermal Power Plant
https://repository.sustech.edu/handle/123456789/16664
Use Data Mining Techniques to Identify Parameters That Influence Generated Power in Thermal Power Plant
Eisa , Waleed Hamed Ahmed; A. , Naomie Salim
The goal of this paper is to identify the parameters that influence the amount of power generated by steam power plants. Data mining tools were used to prove that influencing parameters are differ according to the current status of power plant. Waikato environment for Knowledge analysis (Weka) was used for feature selection and building the prediction model. An initial comparison between many algorithms for each data set was reported. Then the prediction model was built using linear regression algorithm, because it shows the highest correlation coefficient between parameters, and minimum errors. The selected model predicts the generated power using all available parameters as predictors. Although this is not a practical method for power prediction, because not all predictors are controllable, but it reflects how much a parameter influence the amount of generated power. Evaluation results of these models were discussed and a detailed analysis sheet was prepared, to prove that data mining is the best way to predict the amount of generated power, and show the health status of steam power plants.
article
2016-01-01T00:00:00ZOptical Wireless Bandwidth Efficiency Enhancement Using Interval Shift Key
https://repository.sustech.edu/handle/123456789/16666
Optical Wireless Bandwidth Efficiency Enhancement Using Interval Shift Key
Mustafa , ,Amin B.; A , Mohammed Jamaledin; Elmaleeh , Mohammed A.; Osman , Ashraf A.
Optical wireless communication is an emerging technology that has generated a vast number of interesting solutions to very complicated communication challenges. For example high data rate, high capacity, unlicensed spectrum, high security and minimum interference links. The optical systems are significantly different from radio frequency channels where amplitude, frequency and carrier phase are modulated, in optical signal the intensity is modulated. Unfortunately, optical sources suffer from long rise/fall times such as in light emitting diodes. This leads to inefficient utilization of optical communication bandwidth. Consequently, the modulation bandwidth is restricted to only few megahertz’s. Additionally, optical detectors exhibit large capacitance that prohibits high data rate. Moreover, the optical transmission power is limited by factors such as human eye safety and power consumption limits. In this paper, a modulation technique named Interval Shift Key (ISK) is used to modulate subcarriers of optical orthogonal frequency-division multiplexing (OFDM). This technique improves the bandwidth utilization and power efficiencies and reduce bit error rate (BER). The MATLAB software is used in this study to simulate BER and power efficiency in an adaptive white Gaussian noise channel. The technique is validated by comparing simulated and published results where good agreement is achieved.
article
2016-01-01T00:00:00ZControl of Wind Turbine for Variable Speed Based on Fuzzy-PID Controller
https://repository.sustech.edu/handle/123456789/16667
Control of Wind Turbine for Variable Speed Based on Fuzzy-PID Controller
Ahmed , Omer Abbaker; Ahmed , Ahmed Awad
Nyala is one of the most suitable areas in Sudan for building wind energy conversion system. This system could be linked with Nyala electrical grid without expensive cost because it is near to the electrical local grid. The permanent changes of wind speed with no stablemode generate different amplitude and frequency voltages which differ from Nyala electrical grid utility parameters. This requires good and suitable controller to facilitate the link process or direct connection to the load. This paper proposes a fuzzy-PID controller as maximum power point tracker (MPPT) to track the maximum power available from the wind energy conversion system (WECS) and to obtain AC voltage with constant amplitude and frequency. The maximum power is obtained based on the rotor speed of the wind turbine which represent in error between actual rotor speed of PMSG and estimated value of rotor speed depend on values of DC current and voltage at the terminal of boost-converter and parameters of PMSG. The error of rotor speed is given as input to the fuzzy-PID controller that controls the duty cycle of pulse width modulation (PWM) generator and its output is connected to the boost converter. The proper wind turbine with its generator was chosen depending on parameters of probability density function (pdf), called Wiebull Function. To validate the correctness and effectiveness of the proposed system, it is simulated with MATLAB/SIMULINK model. The simulation results show the good performance of the proposed control scheme.
article
2016-01-01T00:00:00Z