Novel Congested Flowgate Grouping Methods in Economic Transmission Planning
In value-based transmission planning, market efficiency and associated economic benefits can be achieved from transmission solutions that reduce system congestions. However, to accrue the most value and design the most cost effective transmission solution, it is beneficial to understand the interactions among congested flowgates and strategically address selected congestion issues collectively rather than individually. This paper proposes two methods to group congested flowgates: correlation method and OTDF method. The proposed methods have been applied to MISO system to demonstrate the effectiveness. Simulation results using hourly chronological SCUC/SCED tool show that up to 370% synergic benefits can be realized if identified groups of congested flowgates are addressed at the same time. The proposed methods are easy to implement, and have great computational advantage over existing simulation-based exhaustive method.
R. Bo et al., "Novel Congested Flowgate Grouping Methods in Economic Transmission Planning," Proceedings of the 2014 IEEE Power and Energy Society General Meeting Conference and Exposition (2014, National Harbor, MD), vol. 2014, pp. 1-5, Institute of Electrical and Electronics Engineers (IEEE), Jul 2014.
The definitive version is available at https://doi.org/10.1109/PESGM.2014.6939286
2014 IEEE Power and Energy Society General Meeting Conference and Exposition, PES 2014 (2014: Jul. 27-31, National Harbor, MD)
Electrical and Computer Engineering
Keywords and Phrases
Commerce; Cost Effectiveness; Electric Power Transmission; Planning; Power Markets; Computational Advantages; Congested Flowgates; Cost Allocation; Economic Benefits; Economic Transmission Planning; Flowgate Grouping; Market Efficiency; Transmission Planning; Economic and Social Effects; Economic Benefit
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2014 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jul 2014