Manuscript Number : IJSRSET1738186

Comparison of Locational Marginal Transmission Pricing

Authors(2) :-V. G. Umalem, S. B. Warkad

Locational marginal price is required in restructured power system.It is require creating an effective pricing scheme that to provide the useful information to generation, transmission section and customers. These transmission pricing depends on generator, load levels and transmission line constraints. Transmission line constraints result is variations in energy prices throughout the network. The proposed approach is based on AC optimal power flow model with considering of losses. Resulting optimization problem is solved by linear programming approach. Locational Marginal Pricing methodology is used to determine the energy price for transacted power and to manage the network congestion and marginal losses. Variation of LMP values with transmission constraint conditions also studied. Simulation is carried out on 220kV, 400Kv & 765kV MSETCL system of Maharashtra transmission line for real data bus system and the results are presented.

Authors and Affiliations

V. G. Umalem
Department of Electrical Engineering Priyadarshini College of Engineering Nagpur, Maharashtra, India
S. B. Warkad
Department of Electrical Engineering, P. R. Pote College of Engineering Amaravti, Maharashtra, India

Locational Marginal Pricing, Optimal Power Flow, transmission pricing

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Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 577-581
Manuscript Number : IJSRSET1738186
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

V. G. Umalem, S. B. Warkad, " Comparison of Locational Marginal Transmission Pricing , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.577-581, November-December-2017. Journal URL : https://res.ijsrset.com/IJSRSET1738186

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