Venkat K. Krishnan


I was the lead developer of the National long-term Electric and Transportation infrastructure Planning software, NETPLAN from 2011-2014. NETPLAN was originally initiated by Dr. Eduardo Ibanez with Prof. James D. McCalley in 2009 for the $2 million NSF research project, NETSCORE-21 (short for “The 21st Century National Energy and Transportation Infrastructures Balancing Sustainability, Costs, and Resiliency” research project).

NETPLAN is a long-term multi-sector multi-objective national infrastructure planning software, which helps to find the best electric and transportation infrastructure investments for the entire country for the next 40 years in terms of
cost, sustainability, and resilience metrics. View a poster on NETPLAN for a quick overview.

NETPLAN's C++ code and data is avalable here. We will appreciate any users to credit the developers appropriately.

I was responsible for developing the following aspects of NETPLAN:
  • Planning for optimal mix of generation portfolio under increasing integration of variable generation- (V. Krishnan, T. Das, E. Ibanez, C. Lopez, and J. McCalley, "Modeling operational effects of wind generation within national long-term infrastructure planning software," IEEE Trans. Power Systems, Vol. 28, no. 2, May 2013)- Available online
  • Modeling multi-modal passenger transportation and infrastructure system, and capturing their interdependencies with freight transportation and energy systems- working version Available online - (V. Krishnan, E. Kastrouni, D. Pyrialakou, K. Gkritza, and J. McCalley, "An Optimization Model of Energy and Transportation Systems: Assessing the High-Speed Rail Impact in the United States", Accepted for publication, Transportation Research Part C: Emerging Technologies, 2015)
  • Co-optimization of generation, transmission and other supply resources (V. Krishnan, J. McCalley, S. Lemos, and J. Bushnell, Nation-wide transmission overlay design and benefits assessment for the US, Energy Policy, Vol. 56, pp. 221-232, May 2013) - Available Online
  • Modeling bio-renewable infrastructure systems for meeting national electricity and automotive needs using bio-power and bio-fuel respectively (J. McCalley, V. Krishnan, K. Gkritza, R. Brown, and D. Mejia-Giraldo, Planning for long haul- Investment strategies for national energy and transportation infrastructures, IEEE Power & Energy Magazine, vol.11, no.5, 24–35, Sept–Oct 2013)
  • Modeling hydrogen infrastructure and assessing the viability of fuel cell vehicles (FCVs) - (V. Krishnan, L. Gonzalez-Marciaga, and J. McCalley, A planning model to assess hydrogen as an alternative fuel for national light-duty vehicle portfolio, Energy, Vol. 73, 14 August 2014, Pages 943–957) - Available Online
  • Building foresight in long-term planning using End Effect mitigation models

2. High-Fidelity Energy Storage Dispatch Model (HiFi-ESD)

This MATLAB based tool was co-developed by Dr. Trishna Das and Dr. Venkat Krishnan between 2010-2014. We worked under the guidance of professor James D. McCalley.

HiFi-ESD is a production costing (PC) program integrated with energy storage dispatch model. The code and data are available here.
This PPT file will walk through the various aspects of the code, the data required, the I/O aspects and the way one could use it. We will appreciate any users of the code, data or the associated  publications to credit the developers appropriately.

The basic code performs a 2-day (48 hour) production costing simulation. There are many improvised versions of the basic code that performs:
  • 1-year PC simulation (i.e., run 182 2-day simulation sequentially),
  • 2-day PC simulation with 5-min economic dispatch, and
  • Optimal allocation of energy storage in a grid
The basic PC code has come down through many students to us, upon which the high-fidelity energy storage dispatch model was developed and used for many analysis. The model development and the consequent analysis studies are all documented in the various publications listed below.

  1. Das, Trishna, "Performance and Economic Evaluation of Storage Technologies" (2013).Graduate Theses and Dissertations. Paper 13047
  2. T. Das, V. Krishnan, and J. D. McCalley, High-Fidelity Dispatch Model of Storage Technologies for Production Costing Studies, IEEE Transactions on Sustainable Energy, vol.5, no.4, pp.1242–1252, Oct. 2014
  3. T. Das, V. Krishnan, and J. McCalley, Incorporating cycling costs in generation dispatch program — an economic value stream for energy storage, International Journal of Energy Research, Wiley Online Library, Volume 38, Issue 12, pages 1551–1561, 10 October 2014
  4. T. Das, V. Krishnan, and J. D. McCalley, Assessing the benefits and economics of bulk energy storage technologies in the power grid, Applied Energy, Volume 139, pp. 104–118 , 1 February 2015
  5. V. Krishnan and T. Das, Optimal allocation of energy storage in a co-optimized electricity market: Benefits assessment and deriving indicators for economic storage ventures, Energy, Volume 81, 1 March 2015, Pages 175–188
  6. D. Nock, V. Krishnan, and J. McCalley, Dispatching Intermittent Wind Resources for Ancillary services via Wind Control and its Impact on Power System Economics, Renewable Energy, Volume 71, November 2014, Pages 396–400
  7. M. Howland, V. Krishnan, N. Brown, and J. McCalley, Assessing the Impact of Power Rate Limitation based Wind Control Strategy, Proceedings of the 2014 IEEE PES Transmission & Distribution Conference & Exposition, Chicago USA, April 2014

© 2013 Venkat Krishnan
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