Multimedia images have become an important way for the sharing of digital information. However, advanced editing tools provide easy methods for malicious content modification, resulting in less viable information. Therefore, there is an urgent need to design an algorithm for image tampering detection and localization, which is capable of locating the authenticity region of the received image, thus delivering the accurate information and assisting in correct decision making in industries and other fields. In this article, a novel dual-pathway multiscale network (DPMSN) is proposed for the image forgery detection, which mainly focuses on extracting the edge information. In particular, a dual-pathway structure is deployed to align visual features in red, green and blue (RGB) space and edge information in LAB space, where a coarse prediction mask is generated to promote accurate localization of the forged regions. By applying the variation convolution operators, comprehensive attention can be paid to various forged regions in multiple sizes. Moreover, in the multiscale fusion module, features at different stages and other low-level information are sufficiently fused to realize a robust presentation of the forged regions. Experimental results show the effectiveness of DPMSN as compared with other state-of-the-art image forgery detection models and the great robustness when facing image attacks, which means DPMSN is a trustworthy forgery detection approach in the industrial field.

This paper presents a novel approach for electric-drive-reconstructed onboard charger (EDROC) for electric vehicles (EVs) incorporating a symmetrical nine-phase permanent magnet (PM) machine. To implement three-phase power factor correction (PFC) and propulsion battery voltage/current regulation, an exclusive utilization of the nine-phase propulsion system is developed. Firstly, a paralleled three-phase pulse-width modulated (PWM) voltage source rectifier (VSR) is reutilized from six inverter legs and is directly connected to the 3-phase utility grid through six-phase out of the machine stator windings. Secondly, a three-phase Buck-type converter is reconstructed by the remaining three-phase inverter legs and machine windings. Thirdly, to realize zero electromagnetic torque production during the three-phase charging mode, the rotor parking position is applied in the decoupling transformation matrix. Moreover, control schemes for charging mode including current balancing and interleaving strategy, are elaborated. To evaluate the steady-state and dynamic behavior of the proposed EDROC system under different operation scenarios, 3.3 kW laboratory prototype-based tests have been conducted.

This article is concerned with the privacy-preserving distributed economic dispatch problem of microgrids. The main goal of this work is to develop a privacy-preserving distributed optimization algorithm over directed networks, aiming to achieve supply-demand balance at the lowest economic cost under practical constraints while preventing the leakage of power-sensitive information. For this purpose, a distributed optimization algorithm with a constant step size is proposed by combining the decentralized exact first-order algorithm with the push-sum protocol, which offers an advantage in terms of fast convergence. In addition, to ensure privacy preservation, a state-decomposition approach is employed by randomly dividing the state into two parts, where only partial state information is transmitted. Moreover, the effectiveness of the privacy-preserving scheme against honest-but-curious nodes and external eavesdroppers is demonstrated through rigorous analysis. Finally, simulation studies demonstrate the validity and superiority of the developed privacy-preserving distributed algorithm.

This paper presents an interleaved high-gain boost converter for standalone photovoltaic based electric vehicle charging. The proposed converter is an improvement on the conventional switched-capacitor boost converter, which is achieved by splitting the step-up network and introducing an additional input inductor and switch. The proposed converter features continuous input and output currents while significantly reducing the filter capacitance requirement. As a result, the need for an electrolytic capacitor is eliminated, leading to improved overall system reliability. In continuous conduction mode (CCM), when the driving signals of the two switches have a phase difference of $180^{\circ }$ and their duty cycles satisfy the constraint relationship of $d_\mathrm{2}=1/(2-d_\mathrm{1})$ , the proposed converter automatically achieves current sharing between the two input inductors throughout the entire duty cycle range. This feature eliminates the need for inductor current detection, reduces current stress, and lowers costs. Furthermore, the proposed converter offers twice the voltage gain of a conventional boost converter, with the voltage stresses of all power components equal to or close to half of the output voltage. The working principle, steady-state characteristics, small signal models and control method of the proposed converter in CCM are thoroughly analyzed. The operation of the proposed converter is validated through a comprehensive 500 W/50 kHz prototype experiment, which demonstrates the correctness of the theoretical analysis. The practical full-load efficiency exceeds 97% under wide variations in the input voltage, with a maximum measured efficiency of 97.9%.

Modern power system has complex composition structure and high stability operation requirements. While the emergence of various new energy sources and the uncertainty of external disturbances bring a great challenge to the Automatic Generation Control (AGC) of power system. In order to improve the robustness of the AGC and facilitate the practical engineering application, this paper proposes a novel structure multistage Proportional Integral Derivative (PID) cascade automatic generation controller as well as an improved more effective control parameter optimization algorithm. Firstly, a two-area multi-unit multi-source hydro/thermal power system containing with capacitive energy storage unit is modeled. And using double closed-loops control method, a PID controller with derivative Filter and 1+Proportional Integral unit (PIDF-(1+PI)) cascade automatic generation controller is proposed. Secondly, by introducing a nonlinear time-varying adaptive weight factor, an improved Whale Optimization Algorithm (WOA-w) is proposed to accelerate the convergence speed and enhance the solution accuracy. Then, based on the integral of time multiplied absolute error (ITAE) objective function, the proposed PIDF-(1+PI) controller parameters are optimized by WOA-w. Finally, MATLAB/Simulink software is used to implement the control system multi-case simulation. Compared with other three control strategies, the multi-scenario cases simulation results verify the correctness and effectiveness of the proposed control strategy.

To improve the efficiency of the wind power generation, this paper proposes an active disturbance rejection controller (ADRC) based MPPT strategy, and establishes a LabVIEW FPGA platform based hardware-in-the-loop (HIL) test system. Firstly, the configuration, operation principle, mathematical model and maximum power point tracking (MPPT) control strategy of the wind power generation are analyzed. According to the angular speed tracking motion equation of the wind turbine, the ADRC based MPPT strategy is designed. Secondly, the real-time simulation model of wind speed, wind turbine and PMSG, as well as MPPT rapid control prototype (RCP) are developed by using PXI-FPGA architecture on the LabVIEW RT real-time operation platform. Then, by building a power converter and connecting it to the PXI-FPGA real-time operation platform, the HIL test system is established. Finally, the HIL real-time simulation tests are conducted with various wind speed conditions. The results not only prove the correctness of ADRC based MPPT strategy, but also demonstrate that the HIL system is an efficient tool for application in wind power generation development.