The smart grid is opening the floodgates on customer data, just as consumers are getting comfortable with retail self-service and mobile apps. With dynamic rates, distributed generation and...
3Rs for Power And Demand
Dynamic monitoring and decision systems maximize energy resources.
is key to the clean and cost-effective use of wind and responsive demand. The implementation of self-commitment would require a transformation of today’s SCADA systems into multi-directional, multi-layered interactive dynamic monitoring and decision systems (DYMONDS). However, if this is done systematically, at least the first generation DYMONDS would be a natural outgrowth of today’s SCADA, and wouldn’t require a major re-design. Today’s SCADA would have to be enhanced by interactive multi-directional information exchange between system operators, aggregators of variable resources (such as wind, solar and demand) and the resources themselves. The NIST standards and protocols under design must enable minimal information exchange from the system operators to the aggregators and resources, in both directions and multi-laterally. An IEEE test system has shown that this system is capable of integrating greater than 50 percent wind capacity with less than 3 percent demand elasticity during most hours, while observing the same transmission limits. Symmetric distributed risk management is beneficial for all industry participants as their value is aligned with what they are compensated for.
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4) GridWeek Meeting, Washington D.C., Sept. 21-24, 2009 .
5) Ilic, Marija, “Driving Efficiency and Optimization: Maximizing the Operational Value of Smart Grid,” GridWeek.
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8) Ilic, M., Skantze, P., Yu, C-N., Fink, L.H., Cardell, J., “Power Exchange for Frequency Control (PXFC),” Proceedings of the International Symposium on Bulk Power Systems Dynamics and Control-IV: Restructuring , Santorini, Greece, Aug. 23-28, 1998.
9) Audun Botterud, Tarjei Kristiansen, and Marija Ilic, “The Relationship Between Spot and Futures Prices in the Nord Pool Electricity Market,” Energy Economics Journal , (under review).
10) Wu, Zhiyong and Marija Ilic, “Generation Investment under Stratum Energy Market Structure.” 2008 IEEE Power Engineering Society General Meeting, July 20-24, 2008. Pittsburgh, PA.
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12) Ilic, Marija, “Dynamic Monitoring and Decision Systems (DYMONDS) and Smart Grids; One and the Same,” EESG WP, 2009.
1. Systems with large storage wouldn’t be as dependent on near-real time knowledge. Without storage, the large stand-by reserve is used. The first solution is still in the embryonic stages, and the second solution leads