Bringing probabilistic analysis capability from planning to operation

Author:

Chen Yousu,Etingov Pavel,Fitzhenry Erin,Sharma Poorva,Nguyen Tony,Makarov Yuri,Rice Mark,Allwardt Craig,Widergren Steve

Funder

U.S. Department of EnergyU.S. Department of Energy (DOE)

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference20 articles.

1. Probabilistic based transmission planning and operation criteria development for the Western Systems Coordinating Council;Beshir,1999

2. Demand dispatch and probabilistic wind power forecasting in unit commitment and economic dispatch: A case study of illinois;Botterud;IEEE Transactions on Sustainable Energy,2013

3. A framework to support the fusion of operation and planning;Chen,2015

4. Chen, Y., Palmer, B., Fitzhenry, E. B., Sharma, P., Jin, S.  Allwardt, C. H., & Huang, Z. (2016) An Integrated Software Package To Enable Predictive Simulation Capabilities. In the Proceeding of 19th Power Systems Computation Conference, June, 20–24, 2016, Genoa, Italy.

5. De la Torre, M., Juberías, G., Domínguez, T., & Rivas, R. (2012), The CECRE: Supervision and control of wind and solar photovoltaic generation in Spain, In the Proceeding of 2012 IEEE Power and Energy Society General Meeting, San Diego, CA, 2012, pp. 1–6.

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