Muhamad Zalani Daud

A novel coordinated control strategy of PV/BES system considering power smoothing

This paper presents a novel coordinated control strategy for use in a hybrid photovoltaic/battery energy storage (PV/BES) system. Different modes of operation are simulated within the PV/BES system controllers considering normal, high fluctuation and emergency conditions. When the system is grid-connected, and during hours of high fluctuation, BES regulates the fluctuated power output of a PV farm which ensures that the net injected power from PV/BES system to the utility grid is smoothed out. For such purpose, an improved dynamic BES model is proposed along with the state of charge feedback controller to ensure an efficient power output set point tracking while promoting safe operation of BES. In case of islanded operation, BES system is transferred to single master operation where frequency and voltage of the islanded microgrid are regulated at the desired level.

Study of optimal control strategy of electric machines used in Plug-in Hybrid Electric Vehicles

This paper presents simulation of ANN control approach of electric machine (EM) used in Plug-in Hybrid Electric Vehicle (PHEV). The EM is constructed in MATLAB/Simulink and the feedback closed-loop control system of ANN controller has been developed. A power reference curve has been used as reference for the EM that represents the load demand of the PHEV. The control system has been simulated to obtain optimal control parameters of the system that can optimally track the power reference curve. The proposed ANN controller developed has been compared with two previously studied methods of using conventional PI based speed controller and the PI-PSO based controller. From the simulation results, it has been shown that the proposed method is much better than the conventional PI based method and also relatively comparable to the results of PI-PSO method. This shows that it is alternative way of using the intelligent controller of ANN to replace the conventional method of PI control system.