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In this chapter, you will learn to do the following: Use file objects Use standard input and output methods Use methods of file objects Use methods of the os module Use methods of the os.path module

which makes the power conversion have lower ef ciency, larger size, and higher cost. A new type of power conversion circuit, known as an impedance-source (Z-source) power converter, is designed to overcome the characteristics associated with the conventional V-source and I-source converters [7]. A Z-source inverter can produce any desired voltage regardless of its input voltage, which greatly reduces system complexity, cost, size, and power loss. Figure 12.4 shows the concept of a Z-source converter. In it, there is a unique LC network in the dc link, making it possible for buck and boost operation. Even though such topology has gained attention in the past few years (with some interesting features such as application to almost all the conversion circuits: dc-to-ac inversion, ac-to-ac conversion, and dc-to-dc conversion), in this chapter we concentrate on the analysis of dc-link voltage source conversion because of a vast and solid application to the eld of renewable energy-based conversion systems. In addition, a Z-source converter has more passive components in the link, and an economical breakthrough analysis must be carried out for high-power applications. Figure 12.5 shows a renewable energy conversion that consists of a standard VS inverter. Ls represents the inductance between the inverter ac voltage VRI and the ac system voltage Vs , and Is is the current injected into the grid. The output waveform of a VS inverter can be decomposed into a fundamental component plus harmonics, but for the analysis of power transfer, the resistance and harmonics can be neglected. 12.2.3 Power Flow

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timeDelays_ = std::vector<Time>(timeSteps, dt); Array variances = covariance.diagonal(); for (Size j=0; j<numAssets_; j++) { QL_REQUIRE(variances[j]>=0, MultiPathGenerator: negative variance ); for (Size i=0; i<timeSteps; i++) { next_.value[j].times()[i] = (i+1)*dt; next_.value[j].drift()[i]=drifts[j]*timeDelays_[i]; } } } /****************************************************************************** MultiPathGenerator constructor [in]: Array& drifts: : array of drifts Math::Matrix& covariance : covariance matrix std::vector<Time>& times : vector of path times long seed : seed number for RNG ******************************************************************************/ template <class RAG> inline MultiPathGenerator<RAG >::MultiPathGenerator( const Array& drifts, const Math::Matrix& covariance, const std::vector<Time>& times, long seed) : numAssets_(covariance.rows()), rndArrayGen_(covariance, seed), next_(MultiPath(covariance.rows(),times.size()),1.0), timeDelays_(times.size()) { QL_REQUIRE(drifts.size() == numAssets_, MultiPathGenerator covariance and average do not have the same size ); QL_REQUIRE(times.size() > 0, MultiPathGenerator: no times given ); QL_REQUIRE(times[0] >= 0, MultiPathGenerator: rst time( + DoubleFormatter::toString(times[0]) + ) must be non negative ); Array variances = covariance.diagonal(); timeDelays_[0] = times[0]; for (Size i = 1; i < times.size(); i++) { QL_REQUIRE(times[i] >= times[i-1], MultiPathGenerator: time( + IntegerFormatter::toString(i-1)+ )= + DoubleFormatter::toString(times[i-1]) + is later than time( + IntegerFormatter::toString(i) + )= + DoubleFormatter::toString(times[i])); timeDelays_[i] = times[i] - times[i-1]; } for (Size j=0; j<numAssets_; j++) {

=RATE(60,25000,-4406865.34,5000000,1)

1. With Fedora or other Linux system running on your computer, insert the Linux Toys II CD into your CD drive. It should mount automatically. (If it doesn t, type mount /media/cdrecorder to mount the drive. You may need to replace cdrecorder with cdrom or other another string, depending on the name of your CD drive mount point.) 2. Copy the MoviX2 ISO image to your hard drive (you can skip this step if you have a recordable CD drive available on your computer other than the one holding the Linux Toys II CD).

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