Abstract� This paper introduces a power quality analyzer with S3C2410 of 32 bits produced by Samsung corp. and analyses the circuits of the instrument. The system can sample the signal in the same time with the analog to digital converter module, and process power quality's data in real time with digital signal processor. And communicate the data of distortion with serial communication interface and Ethernet. The instrument can meet the demand for the power quality online monitoring.
The two-dimensional snake scanning of the CCD method provides an effective solution to measure small-scale light spots which are smaller than one CCD pixel. The influences of the A/D conversion digits and response uniformity of the CCD on the measurement error are studied. When the A/D conversion digit is 20, the measurement error can be ignored. The maximum error value of the nonuniform response of the CCD pixel when the order of the super-Gaussian function is 10 is 0.7 μm. The research results can be used to guide the experiment.
A large number of nonlinear components exist in AC/DC hybrid microgrid, which will cause harmonic pollution and affect power quality. In this paper, according to the diversity, complexity, nonlinear and mutation characteristics of harmonics, the harmonic analysis of AC/DC hybrid microgrid is carried out by adding harmonic sources. The model diagram of AC/DC hybrid microgrid is built, and the mathematical parameters of harmonics are introduced. Finally, the simulation of microgrid model is constructed based on ETAP, and the harmonic characteristics of AC/DC hybrid microgrid are studied in three cases of static load and equivalent grid using the same harmonic source.
As a new mode of distribution network, it is necessary to study the minimum loss of active distribution network after line failure. Therefore, this paper proposes a method of active distribution network fault recovery based on particle swarm optimization (PSO). On the premise of satisfying the constraints of distribution network, this algorithm establishes an objective function model of balancing load based on reducing network loss. Using the active distribution network system of IEEE 33 node, the experimental simulation proves that the particle group algorithm can effectively solve the problem of active distribution network fault reconstruction by contrasting the particle group and ant group algorithm, and has the advantages of good stability and high efficiency.
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