Business cases for isolated and grid connected microgrids: Methodology and applications

Abstract Microgrids are receiving increasing attention from power systems planners as a means to integrate distributed energy resources (DER) including renewable energy resources into the grid, and as a means of balancing the variability of renewable resources and loads with flexible generation. A key to justifying microgrids is establishing their business case. This helps to set the structure and configuration of the microgrid, including defining the DER required to feed part or all of the loads and the level of control required from the microgrid controller. This paper proposes a systematic approach and methodology for formulating and quantifying a microgrid business case. The framework adapts the use case approach to the microgrid context. It defines stakeholders, benefits and beneficiaries and determines the dependency of the business case on microgrid technologies. A method to quantify and allocate benefits is proposed. Applications to practical microgrids are discussed, including remote communities, remote mining sites and grid connected critical distribution grids.

[1]  G. Joós,et al.  Evaluation of the costs and benefits of Microgrids with consideration of services beyond energy supply , 2012, 2012 IEEE Power and Energy Society General Meeting.

[2]  Claudio A. Canizares,et al.  Long-Term Renewable Energy Planning Model for Remote Communities , 2016, IEEE Transactions on Sustainable Energy.

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

[4]  Stephan Dempe,et al.  Foundations of Bilevel Programming , 2002 .

[5]  Iakovos Michailidis,et al.  Intelligent energy and thermal comfort management in grid-connected microgrids with heterogeneous occupancy schedule , 2015 .

[6]  Geza Joos,et al.  Multiobjective Optimization Dispatch for Microgrids With a High Penetration of Renewable Generation , 2015, IEEE Transactions on Sustainable Energy.

[7]  Jacek Paraszczak,et al.  Renewable Energy Sources—A Promising Opportunity for Remote Mine Sites , 2012 .

[8]  Bongani Msimanga Exploring the impacts of renewable energy and energy efficiency policies on the mining sector , 2015 .

[9]  G. Venkataramanan,et al.  Optimal Technology Selection and Operation of Commercial-Building Microgrids , 2008, IEEE Transactions on Power Systems.

[10]  Pierluigi Mancarella,et al.  Microgrid Evolution Roadmap , 2015, 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST).

[11]  Anne Hampson,et al.  Catalog of CHP Technologies , 2015 .

[12]  Roy Billinton,et al.  Reliability evaluation of power systems , 1984 .

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

[14]  Jin-O Kim,et al.  Reliability Evaluation of Customers in a Microgrid , 2008, IEEE Transactions on Power Systems.

[15]  Bruno Francois,et al.  Energy Management and Operational Planning of a Microgrid With a PV-Based Active Generator for Smart Grid Applications , 2011, IEEE Transactions on Industrial Electronics.

[16]  Geza Joos,et al.  Dispatch techniques for Canadian remote communities with renewable sources , 2013, 2013 IEEE Electrical Power & Energy Conference.

[17]  Geza Joos,et al.  Generation Dispatch Techniques for Remote Communities With Flexible Demand , 2014, IEEE Transactions on Sustainable Energy.

[18]  Bo Zhao,et al.  Operation Optimization of Standalone Microgrids Considering Lifetime Characteristics of Battery Energy Storage System , 2013, IEEE Transactions on Sustainable Energy.

[19]  Michael Stadler,et al.  Value streams in microgrids: A literature review , 2016 .

[20]  Geza Joos,et al.  A methodology to optimize benefits of microgrids , 2013, 2013 IEEE Power & Energy Society General Meeting.

[21]  Ashoke Kumar Basu,et al.  Impact of Strategic Deployment of CHP-Based DERs on Microgrid Reliability , 2010, IEEE Transactions on Power Delivery.

[22]  K. Lackner,et al.  Agent-based model for electricity consumption and storage to evaluate economic viability of tariff arbitrage for residential sector demand response , 2014 .

[23]  D. Duff Carbon Taxation in British Columbia , 2008 .

[24]  M. Stadler,et al.  A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids , 2017 .

[25]  M. Shahidehpour,et al.  Microgrid Planning Under Uncertainty , 2015, IEEE Transactions on Power Systems.

[26]  Iakovos Michailidis,et al.  Occupancy-based demand response and thermal comfort optimization in microgrids with renewable energy sources and energy storage , 2016 .

[27]  Goran Strbac,et al.  Policymaking for microgrids , 2008, IEEE Power and Energy Magazine.

[28]  M. Kazerani,et al.  Renewable Energy Alternatives for Remote Communities in Northern Ontario, Canada , 2013, IEEE Transactions on Sustainable Energy.

[29]  Marcelo Godoy Simões,et al.  Distributed Intelligent Energy Management System for a Single-Phase High-Frequency AC Microgrid , 2007, IEEE Transactions on Industrial Electronics.

[30]  Steven Wong,et al.  Demand response implementation for remote communities , 2011, 2011 IEEE Electrical Power and Energy Conference.

[31]  Farrokh Aminifar,et al.  Distribution Automation Strategies: Evolution of Technologies and the Business Case , 2015, IEEE Transactions on Smart Grid.

[32]  Barry Sugden Diesel/solar hybrid power system — Is it a viable option for telecom applications in the Arctic? , 2014, 2014 IEEE 36th International Telecommunications Energy Conference (INTELEC).

[33]  Ehab F. El-Saadany,et al.  Adequacy Evaluation of Distribution System Including Wind/Solar DG During Different Modes of Operation , 2011, IEEE Transactions on Power Systems.

[34]  Nikos D. Hatziargyriou Quantification of Technical, Economic, Environmental and Social Benefits of Microgrid Operation , 2014 .

[35]  Paul Parker,et al.  Economic feasibility of residential electricity storage systems in Ontario, Canada considering two policy scenarios , 2015 .

[36]  F. Bouffard,et al.  An electricity market with a probabilistic spinning reserve criterion , 2004, IEEE Transactions on Power Systems.

[37]  G. Y. Morris A Framework for the Evaluation of the Cost and Benefits of Microgrids , 2012 .