DocumentCode :
2336533
Title :
LMP based electricity market simulation using genetic algorithm
Author :
Murali, M. ; Kumari, M. Sailaja ; Sydulu, M.
Author_Institution :
Electr. Eng. Dept., N.I.T. Warangal, Warangal, India
fYear :
2012
fDate :
18-20 July 2012
Firstpage :
1285
Lastpage :
1290
Abstract :
In restructured electricity markets, an effective transmission pricing method is required to address transmission issues and to generate correct economic signals. Transmission line constraints can result in variations in energy prices throughout the network. These prices depend on generator bids, load levels and transmission network limitations. Locational Marginal Pricing (LMP) is a dominant approach in energy market operation and planning to identify nodal prices and manage transmission congestion. This paper presents a GA based security constrained economic dispatch (SCED) approach to evaluate LMP´s at all buses while minimizing total system fuel cost for a constrained transmission system, with and without considering system losses. The proposed GA based SCED approach is applied on IEEE 14 bus, 75 bus Indian power system and New England 39 bus system. The results obtained are compared with conventional Linear Programming based DCOPF using Power World Simulator. Both fixed and linear bids are considered for generators. The load is assumed to be inelastic. The proposed GA based SCED for LMP calculation is proved to be very simple, reliable and efficient in all the cases studied. Further, the optimal redispatch of generators using GA leads to overall reduction in generation fuel cost.
Keywords :
genetic algorithms; power generation dispatch; power generation economics; power markets; power transmission economics; IEEE 14 bus power system; IEEE 75 bus power system; New England 39 bus system; effective transmission pricing method; electricity market simulation; generation fuel cost; generator bid; genetic algorithm; locational marginal pricing; restructured electricity market; security constrained economic dispatch; transmission issues; transmission line constraints; transmission network limitations; Fuels; Generators; Genetic algorithms; Linear programming; Power generation; Power systems; Pricing; Delivery factors; Fixed bid; Generation shift factors; Genetic algorithm; LMP; Linear bid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-2118-2
Type :
conf
DOI :
10.1109/ICIEA.2012.6360920
Filename :
6360920
Link To Document :
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