![]() ![]() Microgrids and Power Markets.- Microgrids and Distribution Expansion Planning. Implementation of Demand Response (DR) Programs in Energy Management of Microgrids.- Collaboration Between Microgrids and Plug-in Electric Vehicles (PEVs). Mohn T (2016) “21st century grid-smart microgrids,” ISGW 2016.Microgrids: Advantages, Barriers, and Opportunities.- Stochastic Natural Gas and Electricity Energy Scheduling in Coupled Microgrids Considering Demand Response.- Frequency Regulation-based Improved Type-2 Fuzzy Controller in Multi-microgrids With Electrical Vehicles.- Distributed Noise-resilient Control for DC Microgrids Under Dynamic Communication Topology.- Hybrid Method for Islanding Detection in DC Microgrids.- A Convex Formulation for Hosting Capacity Analysis in Microgrids.- Performance and Roles of Microgrids in Smart City.- Statistics and Real Experiences in Design and Operation of Microgrids.- Short-term and Long-term Forecasting Techniques for Microgrids.- Centralized, Decentralized, and Cooperative Distributed Control and Energy Scheduling of Microgrids.- Economic Dispatch of Microgrids.- Operation of Grid-connected and Islanded Microgrids. 2017 India smart grid week tutorial 2, “Leading transition to a smart city.” Mar 2017 (Dobriansky Smart City Tutorial) ISBN: 978-4-9ĭobriansky L (2017) Smart microgrids, smart grid and smart city development in India. In: Geng H (ed) Chapter 30 in the internet of things and data analytics handbook, First edn. Ghatikar G (2017) Internet of things and smart grid standardization. Ghatikar G, Mashayekh S, Stadler M, Yin R, Liu Z (2015) Distributed energy systems integration and demand optimization for autonomous operations and electric grid transactions. Springer International Publishing, Switzerland, Aug 2015ĭobriansky L (2016) Grid 3.0: new parameters, players and structures. In: 7th world renewable energy technology congress, Aug 2016 (Dobriansky, Revisioning Smart Community Development)Įrickson et al (2015) Distribution system planning and innovation for distributed energy futures. In: 4th international conference on integration of renewable and distributed energy resources, Dec 2010ĭobriansky L (2016) The smart microgrid solution: rethinking and revisioning smart community development. As part of this discussion, the paper will explore technical and regulatory innovations that could spur investment in advanced microgrids and the development of a 3.0 Smart Grid to help achieve India’s Smart City policy objectives. By leveraging data sets that span diverse facilities, systems, and purposes, Smart microgrids could interlink and optimize energy-using functions of diverse infrastructure systems and the built environment within cities. The paper also focuses on developing Smart microgrid “Infrastructure as a Service Platform” for resource-efficient community development, where microgrids manage and optimize local energy across multiple end-use sectors (power, transportation, water, waste, buildings, etc.). In this regard, the paper discusses integrating Smart microgrids with distribution utility “Advanced Distribution Management Systems,” enabling “dynamic” microgrids that interact with distribution networks according to locally based Smart delivery architecture, with a view to harnessing cost-effectively the benefits of distributed resources for customers, the community, and the macrogrid. The paper examines how “advanced or Smart microgrids” could contribute to developing an interactive, flexible, and innovative grid in India-one that would use information and communications technologies to increase the independence, flexibility, and intelligence for optimization of energy use and management within local energy networks and to cost-effectively integrate local energy resources into the Smart Grid. This study addresses the role of Smart microgrids in shaping a “3.0 Smart Grid” to anchor Smart city development. ![]()
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