Statistical Bus Ranking for Flexible Robust Unit Commitment

Gupta, Amandeep; Anderson, C. Lindsay

doi:10.1109/tpwrs.2018.2864131

Statistical Bus Ranking for Flexible Robust Unit Commitment

Journal Article · Tue Aug 07 00:00:00 EDT 2018 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/tpwrs.2018.2864131· OSTI ID:1871547

^[1]; Anderson, C. Lindsay ^[2]

Cornell Univ., Ithaca, NY (United States); Cornell University
Cornell Univ., Ithaca, NY (United States)

As the level of uncertain renewable capacity increases on power systems worldwide, industrial and academic researchers alike are seeking a scalable, transparent and effective approach to unit commitment under uncertainty. This paper presents a statistical ranking methodology that allows adaptive robust stochastic unit commitment using a modular structure, with much-needed flexibility. Specifically, this paper describes a bus ranking methodology that identifies the most critical buses based on a worst-case metric. An important innovation is the ability to identify alternative metrics on which to rank the uncertainty set-for example, to minimize economic dispatch cost or ramping needs, to provide a customized robust unit commitment solution. Compared to traditional robust unit commitment models, the proposed model combines statistical tools with analytical framework of power system networks. The resulting formulation is easily implementable and customizable to the needs of the system operator. The method and its applications are validated against other established approaches, showing equivalent solution to the state-of-the-art approach. Case studies were conducted on the IEEE-30, IEEE-118, and the pegase-1354 networks. In addition, the flexibility of bus ranking formulation is illustrated through implementation of alternative definitions of worst-case metrics. Results show that the bus ranking method performs as well as the best of these methods, with the provision of additional flexibility and potential for parallelization.

View Accepted Manuscript (DOE)

Research Organization:: Cornell Univ., Ithaca, NY (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Office of Electricity (OE)

Grant/Contract Number:: OE0000843

OSTI ID:: 1871547

Alternate ID(s):: OSTI ID: 1614407

Report Number(s):: TPWRS-01722-2017; EPAS-1453615

Journal Information:: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 1 Vol. 34; ISSN 0885-8950

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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24 POWER TRANSMISSION AND DISTRIBUTION
29 ENERGY PLANNING, POLICY, AND ECONOMY
bootstrap aggregation
bus ranking
customizability
flexible ramping
parallelizable
robust unit commitment

Statistical Bus Ranking for Flexible Robust Unit Commitment

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