Author(s)

Ahmed M. Othman^1,2, Hossam A. Gabbar^1,3*, Negar Honarmand¹

¹Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, Canada.
²Faculty of Engineering, Electrical Power & Machine Department, Zagazig University, Zagazig, Egypt.
³Faculty of Energy Systems & Nuclear Science, University of Ontario Institute of Technology, Oshawa, Canada.

This paper presents performance analysis on hybrid AC/DC microgrid networks for residential home cluster. The design of the proposed microgrid includes comprehensive types of Distributed Generators (DGs) as hybrid power sources (wind, Photovoltaic (PV) solar cell, battery, fuel cell). Details about each DG dynamic modeling are presented and discussed. The customers in home cluster can be connected in both of the operating modes: islanded to the microgrid or connected to utility grid. Each DG has appended control system with its modeling that will be discussed to control DG performance. The wind turbine will be controlled by AC control system within three sub-control systems: 1) speed regulator and pitch control, 2) rotor side converter control, and 3) grid side converter control. The AC control structure is based on PLL, current regulator and voltage booster converter with using of photovoltaic Voltage Source Converter (VSC) and inverters to connect to the grid. The DC control system is mainly based on Maximum Power Point Tracking (MPPT) controller and boost converter connected to the PV array block and in order to control the system. The case study is used to analyze the performance of the proposed microgrid. The buses voltages, active power and reactive power responses are presented in both of grid-connected and islanded modes. In addition, the power factor, Total Harmonic Distortion (THD) and modulation index are calculated.

Microgrid, Photovoltaic Systems, Wind Power Generation, Hybrid AC/DC Networks

Othman, A. , Gabbar, H. and Honarmand, N. (2015) Performance Analysis of Grid Connected and Islanded Modes of AC/DC Microgrid for Residential Home Cluster. Intelligent Control and Automation, 6, 249-270. doi: 10.4236/ica.2015.64024.