Non-Critical Transmission Constraints Identification and Removal for Long-Range Production Cost Simulation Performance Improvement
Abstract
Economic transmission planning requires intensive production cost simulations. The long simulation time however presents practical challenges and limits the scope of analyses. This paper therefore investigates transmission constraints, a major contributing factor to simulation time, and proposes a framework to identify and remove transmission constraints that are least critical to simulation results yet can reduce simulation time. Numeric tests using MISO planning models have shown the proposed method can achieve 10∼15% savings in simulation time with acceptable impact to simulation result accuracy. Applying the proposed method may save thousands of computing hours per planning cycle.
Recommended Citation
R. Bo et al., "Non-Critical Transmission Constraints Identification and Removal for Long-Range Production Cost Simulation Performance Improvement," Proceedings of the IEEE Power and Energy Society General Meeting (2017, Chicago, IL), IEEE Computer Society, Jan 2018.
The definitive version is available at https://doi.org/10.1109/PESGM.2017.8273900
Meeting Name
2017 IEEE Power and Energy Society General Meeting, PESGM 2017 (2017: Jul. 16-20, Chicago, IL)
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Economic Transmission Planning; Production Cost Simulation; Security Constrained Economic Dispatch (SCED); Security Constrained Unit Commitment (SCUC); Transmission Constraints
International Standard Book Number (ISBN)
978-153862212-4
International Standard Serial Number (ISSN)
1944-9925
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 IEEE Computer Society, All rights reserved.
Publication Date
01 Jan 2018