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A novel comprehensive classification system is pro-Besides distinguishing of OFDM signal from single carrier, posed for recognizing the orthogonal frequency division mulsome vital parameters of OFDM signal should be extracted tiplexing (OFDM) signal and extracting its parameters. An for further processing. These parameters include, but not limit empirical distribution function -based Gaussianity test technique to the number of subcarriers, OFDM symbol duration and is first applied to distinguish OFDM from single carrier moduthe prer of duratiers at and lations. Cyclostationarity and correlation tests are then applied cyclic prefix (CP) duration, etc. With those parameters at hand, to estimate OFDM symbol duration and cyclic prefix duration. one may further recognize the linear modulation type on each A bank of fast Fourier transform (FFT) bank filter is devised to OFDM subcarrier by applying the conventional modulation detect the number of subearriers. Numerical results are presented classification methods. In this paper, a comprehensive classito verify the efficiency of the proposed scheme. fication system is devised for recognizing the OFDM signal

Virtual power plant (VPP) is an effective technology form to aggregate the distributed energy resources (DERs), which include distributed generation (DG), energy storage (ES) and demand response (DR). The establishment of a unified and coordinated control of VPP is an important means to achieve the interconnection of energy internet. Therefore, this paper focuses on the research of VPP construction model. Firstly, a preliminary introduction on all kinds of the DERs is carried out. According to the relevant guidelines, the decision area of the VPP is carefully divided, and the decision variables representing the various resources in the area are determined. Then, in order to get a VPP with low daily average cost, good load characteristics, high degree of DG consumption and high degree of resource aggregation, a multi-objective VPP construction model based on decision area division is established, and various constraints including geographic information are considered. The improved bat algorithm based on priority selection is used to solve this model. Finally, the correctness and effectiveness of the model are verified by an example.

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