توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱A COMPARISON STUDY ON OPTIMAL SITTING AND SIZING DISTRIBUTED GENERATION AND SHUNT CAPACITORS UNITS FOR LOSS REDUCTION
نویسنده(ها): ،
اطلاعات انتشار: ششمین کنفرانس بین‌المللی مسائل فنی و فیزیکی در مهندسی قدرت، سال
تعداد صفحات: ۶
Recently the use of distributed generation (DG) units and shunt capacitor (SC) for loss reduction in distribution systems have become a comprehensive case . Not only inattention to fix size and location of installation of dispersed generation and Shunt capacitors units will not help to reduction of losses, but also it may causes increase of system’s losses. In this paper, optimal location and sizing of DG and SC units using particle swarm optimization (PSO) algorithm is discussed for loss reduction in distribution electricity network. Finally, the effect of DG and SC in loss reduction are compared. The comparsion is made on an actual distribution system.It is concluded when both DG and SC are used the losses are reduced consideablly.<\div>

۲DESIGNING OF MIXED H2 AND H∞ CONTROLLER FOR DOUBLY FED INDUCTION GENERATOR
نویسنده(ها): ، ، ،
اطلاعات انتشار: ششمین کنفرانس بین‌المللی مسائل فنی و فیزیکی در مهندسی قدرت، سال
تعداد صفحات: ۵
Considering their simple structure and low production and maintenance cost, wind powerhouses are becoming highly–demanded these days. Unfortunately, the very basic problem to vastly employ these generators in industry is due to difficulty to control these blocks under uncertainties and large distortion magnitudes. In this paper, a modified control method will be proposed in which, in addition to proper fast operation, it makes generator robust against these issues. To be able to present the details of the proposed method, at first, the generator along with its control system is modeled properly. A mixed H2 and H∞ controller is designed and elaborated next. The whole system with proposed controller is simulated finally despite noise and distortion induced by the environment. Results reveal that the designed controller is highly–efficient in different aspects from tracking to distortion damping and noise elimination.<\div>

۳POWER SYSTEM FAULTS CLASSIFICATION WITH PATTERN RECOGNITION USING NEURAL NETWORK
نویسنده(ها): ، ، ،
اطلاعات انتشار: ششمین کنفرانس بین‌المللی مسائل فنی و فیزیکی در مهندسی قدرت، سال
تعداد صفحات: ۵
This paper present a new intelligent approach to identify fault types and phases. A fault classification method using self–organizing map (SOM) neural network (NN) is used to classify various patterns of associated voltages and currents of fault phenomena. First difference between this paper and pervious researches is proposing a novel classification criterion. In this paper is proposed to use symmetrical components and phasor futures of both voltage and current as criterion parameters. Second difference is application of SOMNN for classification purpose. Because of using novel effective criterion parameters, it is possible to use very simple NN such as SOM. Performance of the proposed method is evaluated on test power system. Simulation results shows that the proposed approach can be used as an effective tool for high speed relaying.<\div>
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