Efficient and versatile charging solutions are essential for modern applications requiring portable energy systems. This paper presents a novel portable charger powered by an isolated split-core current clamp, enabling direct charging from power lines. The system utilizes inductive coupling to draw AC current from these lines, which is then regulated to a precise voltage for battery replenishment. The proposed design features an interleaved resonant topology with a semi-active rectifier, achieving high efficiency and adaptability to a wide range of input voltages. This architecture supports a variable DC bus voltage, enabling the resonant converter to operate optimally near its resonant frequency for maximum performance. To ensure a lightweight and efficient design, the converter eliminates traditional transformers, incorporating a capacitive element within the resonant network for galvanic isolation. A cascaded dual-control strategy in the interleaved structure ensures precise voltage regulation. Designed to be compatible with 1-6 cell Li-Ion batteries, the charger offers extensive versatility. Experimental results from a 2.5-200 W prototype, with an output voltage range of 4.2-25.2 V, demonstrate a peak efficiency of 94%, validating the effectiveness of the proposed charger for grid-connected applications.

This paper investigates a fundamental issue in AC-DC rectifiers that are specifically used as charger for electric vehicle (EV), i. e. the total harmonic distortion (THD) of input current waveforms. Firstly, the topology of two-stage charger along with the corresponding control scheme is reviewed. Then, the research gap namely high harmonic distortion of input current is identified and analyzed. A revision of the conventional control method with the aid of virtual resistant is proposed and investigated from the circuit perspectives. Finally, simulation results are delivered to validate the analysis and the reduction of THD in the input current waveform. this is proposed method, the steady state is studied.

The EVs battery has the ability to enhance the balance between the load demand and power generation units. The EV aggregators to manage the random behaviour of EV owners and increasing EVs participation in the ancillary services market are employed. The presence of aggregators could lead to time-varying delay in load frequency control (LFC) schemes. The effects of these delays must be considered in the LFC controller design. Due to the dependency of controller effectiveness on its parameters, these parameters should be designed in such a way that the LFC system has desired performance in the presence of time-varying delay. Therefore, a Sine Cosine Algorithm (SCA) is utilized to adjust the fractional-order PID (FOPID) controller coefficients. Also, some evaluations are performed about the proposed LFC performance by integral absolute error (IAE) indicator. Simulations are carried out in both single and two area LFC system containing EV aggregators with time-varying delay. According to results, the proposed controller has fewer frequency variations in contrast to other controllers presented in the case studies. The obtained output could be considered as a solution to evaluate the proposed controller performance for damping the frequency oscillations in the delayed LFC system.

Electric Vehicles (EVs) have penetrated the modern distribution system in the last decade. On the other hand, Renewable Energies (RE) play a serious task in such Micro-Grids (MG). A typical MG consists of several Distributed Energy Resources (DER) including Distributed Generations (DGs) and Demand Response (DR) as well as EV charge/discharge stations. In this paper, optimal charging and discharging strategies based on DR programs are applied to Electric Vehicle charging stations equipped with renewable energies. To avoid profit loss due to renewable uncertainties, Peer-to-peer (P2P) energy bartering between EV charging stations as prosumers are suggested in this paper. Hence the management system for the charge and discharge of EVs and station batteries, as well as the Energy Management System (EMS) are developed in this paper. To this end firstly developed EMS applied to the individual station. Secondly, the P2P power transaction was added to the model in order to smoothen volatile uncertain load and renewables. The proposed model is a Mixed-Integer Linear Programming (MILP) and has been solved by GAMS/CPLEX. Numerical studies have shown that aggregator deployment is more beneficiary for Virtual Power Plant (VPP).