Performance Comparison of LP, EP and DE Approaches in Optimal Dispatch Methodologies of Bilateral Real Power Market Structures


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


The privatization and deregulation of electricity markets has a very large impact on almost all the power systems around the world. The underlying objective of introducing competition to these markets is to make them more efficient. A bilateral contract in an electricity market is an agreement between a willing buyer and a willing seller to exchange electricity, rights to generating capacity, or a related product under mutually agreeable terms for a specified period of time. This paper describes studies of optimal power dispatch in bilateral contracts by using Linear Programming Method with Line Flow Factors, Evolutionary Programming Technique and Differential Evolution Method. The line flow factors are evaluated from existing load flow studies. A generalized linear programming, Evolutionary Programming and Differential Evolution formulations are proposed to determine the optimal bilateral real power contracts under a deregulated environment subjected to the steady-state security constraints (e.g. generation and line flow limits). The standard data of Sample 4bus, two generators and two customers system has been taken into account and simulated with aid of MAT-lab software and comparative results was obtained.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Deregulation; Bilateral Contract; Line Flow Factors; Newton Raphson Method; Linear Programming; Evolutionary Programming; Differential Evolution; MATLAB

Full Text:

PDF


References


K. Vaisakh, G. V.Siva Krishna Rao, Line Flow Constrained Evaluation of Optimal Bilateral Real Power Contracts/Transactions, ICGST-ACSE Journal, Volume 7, Issue 2, November 2007.

F. Milano, M. Zhou and GuanJi Hou, Open Model for Exchanging Power System Data, Power & Energy Society General Meeting, 2009. PES '09. IEEE.

Whei-Min Lin and Shi-Jaw Chen, Bid-Based Dynamic Economic Dispatch With An Efficient Interior Point Algorithm , International Journal of Electrical Power & Energy Systems, Volume 24, Issue 1, January 2002, Pages 51-57.

Cuello-Reyna, A.A. Cedeno-Maldonado, J.R. OPF Framework For Congestion Management In Deregulated Environments Using Differential Evolution, IEEE Trans. on power Systems, , pp 127- 133, December 2005.

A.S .Nayak and M. Pai, Congestion Management in Restructured Power Systems Using an Optimal Power Flow Framework, PSERC Publication 2-23, june 2002. Document available at www.pserc.wisc.edu.

Luis s. Vargas victor h. Quintana Anthony vannelli. A Tutorial Description Of An Interior Point Method And Its Applications To Security-Constrained Economic Dispatch, IEEE Transactions on power systems, vol. 8, no. 3, august 1993.

K.Vaisakh, L.R.Srinivas, Differential Evolution Approach for Optimal Power Flow Solution, available at www.jatit.org.

Storn, R., On The Usage Of Differential Evolution For Function Optimization, Fuzzy Information Processing Society, 1996. NAFIPS. 1996 Biennial Conference of the North American , 1996 , Page(s): 519 – 523.

C.W.Yu and A.K.David, Pricing transmission services in the context of industry deregulation, IEEE Trans. on PS, Vol.12, No.1, Feb 1997, pp52- 60.

HB Rudnic, R Palma and J E Fenandez, Marginal pricing and supplement cost allocation in transmission open access, IEEE Trans. on power Systems, Vol.10, No.2, pp 1125-1142, May 1995.

J. Pan, Y Teklu, and S.Rahman, Review of usagebased transmission cost allocation, IEEE Trans. On PS, Vol.15, No.4, November 2000, pp1218-1224.

F.Galiana, and M Illic, A mathematical frame work for the analysis and management of power transactions under open access, in IEEE Winter Power meeting, Feb.1998.

W.Y.Ng, Generalized Generation Distribution Factors for Power System Security Evaluation, IEEE Trans. On PAS, Vol.PAS-100, No.3, March 1981, pp1001-1005.

K. Vannelli, A. Vanneili and S. Woo, An Interior Point Method Implementation for Solving Large Planning Problems in the Oil Refinery Industry, Canadian Journal of Chemical engineering, Vol. 70, No. 2., pp. 368-374.

Suganya, G. Balamurugan, K., Dharmalingam V, Multi-objective evolutionary programming technique for Economic /Emission load dispatch, IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012, art. No. 6216128, pp. 269- 275.

Nelson Jayakumar, D., Venkatesh, P., Diversity preserved multiobjective evolutionary programming algorithm for environmental/economic dispatch problem, (2012) International Review of Electrical Engineering (IREE), 7 (4), pp. 5174-5185.

Jasper, J., Sivakumar, R.S., Aruldoss Albert Victoire, T., Deepa, S.N., Cost optimization of power generation using a differential evolution algorithm enhanced with neighbourhood search operation, (2012) International Review of Electrical Engineering (IREE), 7 (5), pp. 5854-5865.

Porkar, S., Poure, P., Saadate, S., Distributed generation electricity price forecasting in a deregulated electricity market, (2012) International Review of Electrical Engineering (IREE), 7 (5), pp. 5829-5839.


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize