DocumentCode :
3467567
Title :
Comparison of LMP simulation using two DCOPF algorithms and the ACOPF algorithm
Author :
Bo, Rui ; Li, Fangxing
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Tennessee, Knoxville, TN
fYear :
2008
fDate :
6-9 April 2008
Firstpage :
30
Lastpage :
35
Abstract :
In this paper, a brief review is firstly presented for Locational Marginal Price (LMP) calculation using the lossless DCOPF algorithm and the FND (Fictitious Nodal Demand)- based iterative DCOPF algorithm with losses considered. Also reviewed is the ACOPF model to calculate LMP. Then, a comparison of these three models is presented with the results from ACOPF as a benchmark. Simulation is performed on the PJM 5-bus system and the IEEE 30-bus test system. The results clearly show that the FND algorithm is a better estimation of the LMP calculated from the ACOPF algorithm and outperforms the conventional lossless DCOPF algorithm. This is reasonable since the FND model considers the line losses. In addition, analysis is presented to address when the different models may lead to large difference, which can be the guidelines for LMP simulation. An approximate algorithm may work well when the LMP difference resulting from approximation tends to be small. This is highly possible when all unbinding constraints are not close to their limits. On the contrary, a more accurate model is desired in the case that the approximation may potentially lead to larger errors when there is one or more constraints close to their limits.
Keywords :
iterative methods; load flow; power markets; pricing; AC optimal power flow; ACOPF Algorithm; DC optimal power flow; DCOPF Algorithms; IEEE 30-bus test system; LMP Simulation; PJM 5-bus system; approximate algorithm; fictitious nodal demand; locational marginal price; Benchmark testing; DC generators; Iterative algorithms; Linear programming; Load flow; Power system modeling; Power system planning; Power system simulation; Propagation losses; System testing; ACOPF; DCOPF; Energy markets; Fictitious Nodal Demand; Lagrangian multiplier; Linear programming (LMP); Locational marginal pricing (LMP); Marginal Units; Optimal power flow (OPF); Power markets; Power system planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
Type :
conf
DOI :
10.1109/DRPT.2008.4523375
Filename :
4523375
Link To Document :
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