This paper presents the implementation of a two-stage light-emitting diode (LED) driver based on commercial integrated circuits (IC). The presented LED driver circuit topology, which is designed to drive a 150 W LED module, consists of two stages: AC-DC power factor correction (PFC) stage and DC/DC power converter stage. The implementation of the PFC stage uses IC NCP1608, which uses the critical conduction mode to guarantee a unity input power factor with a wide range of input voltages. The DC/DC power converter with soft-switching characteristics for the entire load range uses IC FLS2100XS. Furthermore, the design of an electromagnetic interference (EMI) filter for the LED driver and the dimming control circuit are discussed in detail. The hardware prototype, an LED lighting system, with a rated power of 150 W/32 V from a nominal 220 V/50 Hz AC voltage supply was tested to show the effectiveness of the design. The presented LED driver was tested for street lighting, and the experimental results show that the power factor (PF) was higher than 0.97, the total harmonics distortion (THD) was lower than 7%, and the efficiency was 91.7% at full load. The results prove that the performance of the presented LED driver complies with the standards: IEC61000-3-2 and CIRSP 15:2009.

This paper proposes the optimal problem of location and power of the battery-energy-storage-system (BESS) on the distribution system (DS) considering different penetration levels of distributed generations (DGs). The objective is to minimize electricity cost of the DS in a typical day considering the power limit of DG fed to the DS. Growth optimizer (GO) is first applied to search the BESS’s location and power for each interval of the day. The considered problem and GO method are evaluated on the 18-node DS with two penetrations levels of photovoltaic system and wind turbine. The results demonstrate that the optimal BESS placement significantly reduces electricity cost. Furthermore, the optimal BESS location and power also help to reduce the cut capacity of DGs as their power greater than the load demand. The compared results between GO and particle swarm optimization (PSO) method have shown that GO reaches the better performance than PSO in term the optimal solution and the statistical results. Thus, GO is an effective approach for the BESS placement problem.

Hardware-in-loop (HIL) is a technique that allows one to simulate the behavior of a technical system in real time. This makes it a valuable tool for controller validation in many fields including photovoltaic systems. This paper proposes an experiment solution for maximizing power of the photovoltaic (PV) panel using HIL simulation. The proposed HIL configuration consists of two parts. The first part includes the PV, the DC-DC boost converter and load are simulated using HYPERSIM and run on the real-time OPAL-RT simulator. The second part is the real MPPT controller based on the perturbation and observation (P&O) algorithm for maximum power point tracking (MPPT) using the TMS320F28379D board. To evaluate the effectiveness of the proposed HIL configuration, the paper also presents a software-in-loop (SIL) simulation configuration for MPPT including the PV, the boost converter, load and MPPT controller based on the P&O algorithm which are simulated using HYPERSIM and run on the real-time OPAL-RT simulator. The obtained results by the proposed HIL configuration are compared with those gained by the SIL configuration on the A10J-S72-175 PV module under different irradiance and temperature levels. The obtained results show that the proposed HIL configuration can be used to perform MPPT experiments for PV under different environmental conditions. In addition, the compared results show that the proposed HIL configuration fulfills its usefulness for evaluating the practical MPPT controllers.

This paper presents the hardware design for a three-phases energy storage system connected to the grid through a safe isolation transformer, suitable for use in university laboratory experiments. The power hardware configuration includes a bidirectional DC/DC buck-boost converter and a bidirectional 3-phase 6-switch DC/AC converter. Additionally, the control board uses the Texas Instruments DSP F28379D with a charging-discharging control program written in C programming language and compiled with Code Composer Studio (CCS v12). The current and voltage sensing circuits use Hall-effect sensors to isolate the power circuit from the control circuit. A unique aspect of this research is the modular design, allowing for quick and easy upgrades and changes to the configuration and power capacity, facilitating the testing of control algorithms for the storage system. Experiments were conducted on a 3-phase 380(V) power grid through an isolation transformer and a simulated battery bank powered by the APS1000 amplifier, with a 100(V) output voltage controlled in charging mode from the grid and discharging mode to the grid at a controlled power of 230(W). The results show that the hardware model can be used effectively in laboratory settings to serve educational needs.

This paper presents a DSP based implementation of simple and very useful control algorithm for the real-time efficiency optimization of the indirect vectorcontrolled induction motor drives. Conventional field-oriented induction motor drives operate at rated flux even at low load. To improve the efficiency of the existing induction motors, it is important to regulate the magnetization flux of the motor in the desired operating range. This paper presents techniques for minimizing power loss (the copper and core losses) of induction motor based on determination of an optimum flux level for the efficiency optimization of the vector-controlled induction motor drive. An induction motor (IM) model in d-q coordinates is referenced to the rotor magnetizing current. Thus the decomposition into d-q components in the steady-state motor model can be utilized in deriving the motor loss model. The algorithm offers a fast convergence. The complete closed loop vector control of the proposed LMC-based IM drive is successfully implemented in real-time using digital signal processor DSP TMS320LF2812 for 1HP motor induction motor. The close agreement between the simulation by Matlab/Simulink and the experimental results confirms the validity and usefulness of the proposed techniques. The proposed LMC in a comparison with conventional FOC can reduce total losses from 5% to 67.2% for all load ranges.