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Kuo C.-C.,Saint Johns University
Renewable Energy | Year: 2010

Renewable energy sources, especially wind energy, are widely applied as a mean to reach emission reduction with the increasing concern of environmental protection. Although wind generation does not produce harmful emissions, its effect on the thermal generation dispatch can actually cause an increase of emissions, especially during low or medium power demand periods of a day. A multi-objective energy dispatch that considers environment and fuel cost under large wind energy is proposed. An efficient encoding/decoding scheme that could effectively prevent unviable solutions during the application of stochastic search methods is applied; thereby dramatically improving search efficiency and solution quality. The non-linear characteristics of power generators, and their operational constraints, such as generation limitations, ramp rate limits, prohibited operating zones, and transmission loss, could be considered for practical operation. The effectiveness and feasibility of the proposed approach are demonstrated by a TAI-POWER and IEEE 30-bus test systems study. The experiment shows encouraging results, suggesting that the proposed approach is capable of providing higher quality and a wider range of Pareto-optimal solutions so that the decision makers can have a more flexible and reasonable choice. © 2010 Elsevier Ltd. Source


Kuo C.-C.,Saint Johns University
Energy Conversion and Management | Year: 2010

Wind, as a renewable energy source, has been generally applied as a means to reach emission reduction goals as a result of increasing concern regarding environmental protection. Although wind generation does not directly produce harmful emissions, its effect on the generation dispatch of conventional plants can actually cause an increase in emissions especially during low and medium energy demand periods. This paper presents an interactive bi-objective programming with valuable trade-off approach for solving generation dispatch which considers environmental and fuel costs inherent to large scale penetration of wind energy. An effective encoding/decoding scheme combined with simulated annealing-like particle swarm optimization is applied for the optimization methodology, thereby dramatically improving search efficiency and solution quality. The proposed approach can provide a valuable trade-off Pareto-optimal solution by following the preferences of decision makers. The non-linear characteristics of power generators and their operational constraints, such as generation limitations, ramp rate limits, prohibited operating zones, and transmission loss are considered for practical operation. The effectiveness and feasibility of the proposed approach were demonstrated through an IEEE 30-bus test system study. The experiment showed encouraging results, suggesting that the proposed approach was capable of providing higher quality and a wider range of Pareto-optimal solutions such that the decision makers can be presented more flexible and reasonable choices. © 2009 Elsevier Ltd. All rights reserved. Source


The main purpose of this paper was to explore strategies of how to design the interface with brand-new techniques for collecting running parameters of small-scaled wind-power electricity generators as well as its monitoring and controlling Graphic Interface System software. Affected by shortage of oil energy, the whole world was positively developing renewable energy such as solar, wind-power, biologic, tide etc. For Taiwan, the renewable energy policy was actively pushed by government and civic organizations, and how to encourage industrial manufacturers to invest the related technologies of renewable energy; furthermore, to research and develop advanced techniques in this field so that those techniques could create another prosperous business for Taiwan after 3C business. In this study, WSN (Wireless Sensor Network) and its related modules such as ZigBee and Bluetooth would be combined together to construct transmitting interface of running parameters of small-scaled wind-power electricity generator. The study content included building ZigBee wireless network, communication interfaces of ZigBee and Bluetooth with microprocessor, coding and decoding techniques of ZigBee and Bluetooth, and software programming of graphic interface system (GIS). This study was sponsored by Taiwan Education Ministry under Teaching Superiority Project, and the system implemented in real wind-power electricity generator system and the research outcomes has been proved to be very successful and stable. © 2009 Elsevier Ltd. All rights reserved. Source


Kuo C.-C.,Saint Johns University
Expert Systems with Applications | Year: 2010

An artificial identification system to classify the insulation aging status of cast-resin transformer through current impulse method of partial discharge (PD) is proposed. The aging phenomenon of insulation materials belongs to a natural property and has strongly influences with the stability of power systems. Therefore, an effectively insulating identification technology plays an important role to enhance the system operating reliability. Since PD is a well known evidence of insulation degrading, a series of high voltage test with acceleration aging process to collect PD signals for identification system are conducted. Some selected statistical PD features instead of waveform are then extracted from these experimental PD signals as input data of the identification system. Also, an artificial neural network that combined particle swarm optimization is presented as the effectively identification tool. To demonstrate the effectiveness and feasibility of the proposed approach, the artificial identification system is applied on both noisy and noiseless circumstance. The experiment showed promising results with over 94% identification rate and even with 30% noise per discharge signal, an 85% successful identification rate can still be achieved. © 2009 Elsevier Ltd. All rights reserved. Source


Neely T.W.,U.S. National Institute of Standards and Technology | Johnson T.A.,U.S. National Institute of Standards and Technology | Johnson T.A.,Saint Johns University | Diddams S.A.,U.S. National Institute of Standards and Technology
Optics Letters | Year: 2011

We describe a tunable broadband mid-IR laser source based on difference-frequency mixing of a 100MHz femtosecond Yb:fiber laser oscillator and a Raman-shifted soliton generated with the same laser. The resulting light is tunable over 3:0 μm to 4:4 μm, with a FWHM bandwidth of 170nm and maximum average output power up to 125mW. The noise and coherence properties of this source are also investigated and described. © 2011 Optical Society of America. Source

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