Scenario Selection for Iterative Stochastic Transmission Expansion Planning

Faezeh Akhavizadegan, Lizhi Wang and James McCalley
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Faezeh Akhavizadegan: Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USA
Lizhi Wang: Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, USA
James McCalley: Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA

Energies, 2020, vol. 13, issue 5, 1-18

Abstract: Reliable transmission expansion planning is critical to power systems’ development. To make reliable and sustainable transmission expansion plans, numerous sources of uncertainty including demand, generation capacity, and fuel cost must be taken into consideration in both spatial and temporal dimensions. This paper presents a new approach to selecting a small number of high-quality scenarios for transmission expansion. The Kantorovich distance of social welfare distributions was used to assess the quality of the selected scenarios. A case study was conducted on a power system model that represents the U.S. Eastern and Western Interconnections, and ten high-quality scenarios out of a total of one million were selected for two transmission plans. Results suggested that scenarios selected using the proposed algorithm were able to provide a much more accurate estimation of the value of transmission plans than other scenario selection algorithms in the literature.

Keywords: operation research in energy; scenario selection; transmission expansion planning; bi-level optimization; uncertainty (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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