مقالههای Ehsan Dehnavi
توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقالههای نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده میشوند.
اطلاعات انتشار: Majlesi Journal of Energy Management، چهارم،شماره۳، Sep ۲۰۱۵، سال ۰
تعداد صفحات: ۸
Electricity generation by the wind power in the recent years has increased a lot. The main reason is that it doesn’t use fossil fuels and consequently has no environmental pollution and reduces greenhouse gases. But due to the fact that wind farms are not available at everywhere, so generation by this method is not always economical and reachable. Wind speed is variable and can be destructive, so induction generators are used in wind farms because design, construction, and maintenance of these machines are much easier than synchronous machines. But these generators have some disadvantages too for example they use a lot of reactive power and cause voltage instability. Also due to the unpredictable behavior of the wind speed, output voltage of wind farm is unstable too. One solution to this problem is using of Flexible AC Transmission System (FACTS) for the reactive power compensation. In this article the use of STATCOM has been investigated and analyzed. At first a wind farm in the variable wind speed has been simulated by Matlab (Simulink) and the effects of STATCOM and SVC in the transient and steady state conditions have been investigated and compared. Finally due to the simulation results and previous researches, it has been proved that STATCOM is the best compensator in the wind farm.
۲Solving Dynamic Economic Emission Dispatch Problem by Random Drift Particle Swarm Optimization Considering Valve–Point and Spinning Reserve Constraints
اطلاعات انتشار: Majlesi Journal of Energy Management، پنجم،شماره۱، Mar ۲۰۱۶، سال ۰
تعداد صفحات: ۱۴
The objective of dynamic economic emission dispatch (DEED) problem is scheduling of the optimal power outputs of the online generating units over a time horizon by minimizing the fuel cost and emission level simultaneously while satisfying the generators and system constraints such as power balance constraint, ramp–rate, and generation limits. In this paper for a more practical and comprehensive study, in addition to the above constraints, the valve–point effect and spinning reserve constraints have been taken into account too. With considering the above conditions, DEED becomes a complex multi–objective optimization problem with non–convex and non–smooth objective function that traditional methods are not able to solve it. So, in this paper random drift particle swarm optimization (RDPSO) has been used to solve the above problem. In addition, a ten unit test system has been studied to demonstrate the effectiveness of the mentioned algorithm and the results are compared with the other algorithms.
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