The reference electrification model : a computer model for planning rural electricity access

Despite efforts from governments and other organizations, hundreds of millions of people—primarily in Africa and South Asia—still have no electricity service. Electrification efforts have historically been focused on extension of the main electric grid, but technology developments have made off-grid power systems, such as microgrids and home systems, viable alternatives for some areas. Especially since rural electrification typically depends on limited subsidies, if universal electrification is to be achieved in a timely manner, smart planning is essential to ensure that resources are directed towards cost-efficient technical solutions. Since the areas requiring electrification are expansive, the technology choices are many, and experience with off-grid systems is limited, planners struggle to evaluate tradeoffs between technology choices and estimate project costs. This thesis demonstrates that computer models that can automatically produce cost-efficient designs to the individual customer level can provide significant value to the planning process. The development of such a model by the author and collaborators at MIT and Comillas University, called the Reference Electrification Model (REM), is described. REM uses a series of heuristics to process input data, identify areas better suited for on-grid or off-grid electrification, and produce technical designs for recommended grid-extension and off-grid projects. In addition to the current state of REM, the rationale for model design choices and recommendations for future developments are described. The process and results of a pilot application of REM to Vaishali District, in Bihar, India are also described. REM will only be useful if it is actually incorporated into planning processes. In this spirit, concepts for how models like REM can benefit the regulation of rural electrification are presented, with a focus on India. Thesis Co-Supervisor: Ignacio Pérez-Arriaga Title: Visiting Professor, Engineering Systems Division Thesis Co-Supervisor: Claudio Vergara Title: Postdoctoral Associate, MIT Energy Initiative

[1]  M. Tanrioven,et al.  Reliability and cost-benefits of adding alternate power sources to an independent micro-grid community , 2005 .

[2]  Aie,et al.  World Energy Outlook 2013 , 2013 .

[3]  E. Miguez,et al.  An Improved Branch Exchange Algorithm for Large Scale Distribution Network Planning , 2002, IEEE Power Engineering Review.

[4]  A. Mohamed,et al.  Optimal sizing of a PV/wind/diesel hybrid energy system for Malaysia , 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

[5]  Luis Gonzalez-Sotres,et al.  Large-Scale MV/LV Transformer Substation Planning Considering Network Costs and Flexible Area Decomposition , 2013, IEEE Transactions on Power Delivery.

[6]  Yu Zhao,et al.  Design, economic analysis and environmental considerations of mini-grid hybrid power system with reverse osmosis desalination plant for remote areas , 2009 .

[7]  Ying Liu,et al.  Optimal Allocation of Distributed Generation in Micro-Grid Based on the Theory of Life Cycle Cost , 2012 .

[8]  Subhes C. Bhattacharyya,et al.  Off-grid electricity generation with renewable energy technologies in India: An application of HOMER , 2014 .

[9]  Snigdha Chakrabarti,et al.  Rural electrification programme with solar energy in remote region-a case study in an island , 2002 .

[10]  Erik O. Ahlgren,et al.  Evaluation of Indian rural solar electrification: A case study in Chhattisgarh , 2012 .

[11]  Sushanta K. Chatterjee,et al.  Electricity Sector in India: Policy and Regulation , 2012 .

[12]  Subhes C. Bhattacharyya,et al.  Rural electrification through decentralised off-grid systems in developing countries. , 2013 .

[13]  S.A. Khaparde,et al.  Optimal sizing of distributed generators in microgrid , 2006, 2006 IEEE Power India Conference.

[14]  Chris Marnay,et al.  Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model , 2003 .

[15]  Lan Zhu,et al.  Design and Simulation for Microgrid System Based on Homer Software , 2011 .

[16]  D. Bornstein Response to Review of How to Change the World: Social Entrepreneurs and the Power of New Ideas , 2004, Children, Youth and Environments.

[17]  P. Gilman,et al.  MICROPOWER SYSTEM MODELING WITH HOMER , 2005 .

[18]  Jesús Pascual Peco González Modelo de cobertura geográfica de una red de distribución de energía eléctrica , 2001 .

[19]  Geoffrey James,et al.  Economic Analysis of Two Microgrid Prototypes , 2012 .

[20]  Shaghayegh Bahramirad,et al.  Reliability-Constrained Optimal Sizing of Energy Storage System in a Microgrid , 2012, IEEE Transactions on Smart Grid.

[21]  Douglas C. Hittle,et al.  Optimization of autonomous village electrification systems by simulated annealing , 2000 .

[22]  Clemencia Torres de Mästle,et al.  Electrification and regulation : principles and a model law , 2006 .

[23]  G. J. Rios-Moreno,et al.  Optimal sizing of renewable hybrids energy systems: A review of methodologies , 2012 .

[24]  Vijay Modi,et al.  Electrification planning using Network Planner tool: The case of Ghana , 2014 .

[25]  Zhiyong Yuan,et al.  Microgrid planning and operation: Solar energy and wind energy , 2010, IEEE PES General Meeting.

[26]  James F. Manwell,et al.  LEAD-ACID-BATTERY STORAGE MODEL FOR HYBRID ENERGY-SYSTEMS , 1993 .

[27]  R D Zimmerman,et al.  MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.

[28]  Dirk C. Jordan,et al.  Photovoltaic Degradation Rates—an Analytical Review , 2012 .

[29]  R. Yokoyama,et al.  Trade-off analysis of autonomous microgrid sizing with PV, diesel, and battery storage , 2009, 2009 IEEE Power & Energy Society General Meeting.

[30]  H. T. Mouftah,et al.  Cost-Aware Smart Microgrid Network design for a sustainable smart grid , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[31]  Carlos Mateo Domingo,et al.  A Reference Network Model for Large-Scale Distribution Planning With Automatic Street Map Generation , 2011, IEEE Transactions on Power Systems.

[32]  S. Bhattacharyya,et al.  To Regulate or Not to Regulate Off-Grid Electricity Access in Developing Countries , 2013 .

[33]  Yasser Abdel-Rady I. Mohamed,et al.  Optimum Microgrid Design for Enhancing Reliability and Supply-Security , 2013, IEEE Transactions on Smart Grid.

[34]  C. Vilacha,et al.  Large-Scale Network Layout Optimization for Radial Distribution Networks by Parallel Computing: Implementation and Numerical Results , 2012, IEEE Transactions on Power Delivery.

[35]  I. Pérez-Arriaga Regulation of the power sector , 2013 .

[36]  Robert Hooke,et al.  `` Direct Search'' Solution of Numerical and Statistical Problems , 1961, JACM.

[37]  H. Oda,et al.  The determinants of rural electrification: The case of Bihar, India , 2011 .

[38]  Kankar Bhattacharya,et al.  Optimal planning and design of a renewable energy based supply system for microgrids , 2012 .

[39]  Panos Y. Papalambros,et al.  Optimal Component Sizing and Forward-Looking Dispatch of an Electrical Microgrid for Energy Storage Planning , 2011, DAC 2011.

[40]  Akanksha Chaurey,et al.  A techno-economic comparison of rural electrification based on solar home systems and PV microgrids. , 2010 .

[41]  A. K. Rout,et al.  Design and Analysis of SPV-Diesel Hybrid System for Rural Electrification in Odisha , 2014 .