Bringing probabilistic analysis capability from planning to operation

The dynamic behavior of smart grid technologies requires the transition from a deterministic to a probabilistic control paradigm. This necessitates a smoother, better-integrated interplay between the functional roles of planning and operations to leverage the capabilities of probabilistic analysis i...

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Bibliographic Details
Published in:Control engineering practice 2018-02, Vol.71 (C), p.18-25
Main Authors: Chen, Yousu, Etingov, Pavel, Fitzhenry, Erin, Sharma, Poorva, Nguyen, Tony, Makarov, Yuri, Rice, Mark, Allwardt, Craig, Widergren, Steve
Format: Article
Language:English
Subjects:
Middleware
Power system operation
Power system planning
Probabilistic power flow
Uncertainty analysis
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Summary:The dynamic behavior of smart grid technologies requires the transition from a deterministic to a probabilistic control paradigm. This necessitates a smoother, better-integrated interplay between the functional roles of planning and operations to leverage the capabilities of probabilistic analysis in both realms. This paper presents two power system probabilistic analysis tools and how they are integrated into the GridOPTICS Software System (GOSS), a middleware platform facilitating deployment of new applications for the future power grid. Case study results show the developed tools provide better prediction of the power system balancing requirements, better transmission congestions management, and better system reliability. •A probabilistic analysis tool that fuses grid planning and operation is presented.•The tool can aid decision support by considering forecast errors into operations.•The tool has been tested and validated by utility engineers in practical environment.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2017.06.006