Performance Analysis of Grid Connected and Islanded Modes of AC/DC Microgrid for Residential Home Cluster

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.

[1]  C. Nagamani,et al.  Comparative study of power control of DFIG using PI control and FeedBack Linearization Control , 2012, 2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET).

[2]  Conversion and delivery of electrical energy in the 21st century , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[3]  Peng Wang,et al.  A Hybrid AC/DC Microgrid and Its Coordination Control , 2011, IEEE Transactions on Smart Grid.

[4]  H. Kakigano,et al.  Configuration and control of a DC microgrid for residential houses , 2009, 2009 Transmission & Distribution Conference & Exposition: Asia and Pacific.

[5]  Pierluigi Siano,et al.  An H-infinity feedback control approach for three-phase voltage source converters , 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

[6]  R.E. Brown,et al.  Impact of Smart Grid on distribution system design , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[7]  Hydrogen Fuel Cell Design and Manufacturing Process Used for Public Transportation in Mexico City , .

[8]  Jose de Jesus Rubio,et al.  Modeling and Control of Wind Turbine , 2013 .

[9]  H. Kakigano,et al.  Fundamental characteristics of DC microgrid for residential houses with cogeneration system in each house , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[10]  Weerakorn Ongsakul,et al.  Multi-objective micro-grid planning by NSGA-II in primary distribution system , 2012 .

[11]  J. Jatskevich,et al.  A PI Control of DFIG-Based Wind Farm for Voltage Regulation at Remote Location , 2007, 2007 IEEE Power Engineering Society General Meeting.

[12]  R. Iravani,et al.  Microgrids management , 2008, IEEE Power and Energy Magazine.

[13]  Jiann-Fuh Chen,et al.  Novel maximum-power-point-tracking controller for photovoltaic energy conversion system , 2001, IEEE Trans. Ind. Electron..

[14]  Ian Hiskens,et al.  Phase locked loop control of inverters in a microgrid , 2011, 2011 IEEE Energy Conversion Congress and Exposition.

[15]  Alexis Kwasinski,et al.  Dynamic Modeling and Operation Strategy for a Microgrid With Wind and Photovoltaic Resources , 2012, IEEE Transactions on Smart Grid.

[16]  Joseba Jimeno,et al.  Architecture of a microgrid energy management system , 2011 .

[17]  Dongdong Li,et al.  Fuzzy-PI and feedforward control strategy of DFIG wind turbine , 2012, IEEE PES Innovative Smart Grid Technologies.

[18]  Hossam A. Gabbar,et al.  Performance optimisation for novel green plug-energy economizer in micro-grids based on recent heuristic algorithm , 2016 .

[19]  Pablo Sanchis,et al.  Implementation and control of a residential microgrid based on renewable energy sources, hybrid storage systems and thermal controllable loads , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[20]  Nikos D. Hatziargyriou,et al.  Operation of microgrids with demand side bidding and continuity of supply for critical loads , 2011 .

[21]  N. Hatziargyriou,et al.  Making microgrids work , 2008, IEEE Power and Energy Magazine.

[22]  Lazaros G. Papageorgiou,et al.  Optimal Scheduling of Smart Homes Energy Consumption with Microgrid , 2011 .

[23]  K. Pierce,et al.  Wind turbine control system modeling capabilities , 1998 .