Optimal Economic Dispatch of Thermal-Wind Power Systems with Valve-Point Effects using A Modified JAYA Algorithm

محتوى المقالة الرئيسي

Ibrahim Farhat

الملخص

In this paper, a modified JAYA algorithm is
applied to solve the optimization problem of the economic
load dispatch (ED). The valve-point effects as well as the
system power losses are taken into account in the solution.
The optimization problem is formulated to include wind
power within the generation system. The consideration of
wind power is motivated by the globally increasing interest
in the renewable energy sources in light of the
environmental aspects. The JAYA algorithm is a recently
introduced optimization technique which has been
employed to solve small-scaled optimization problems.
Nevertheless, the algorithm’s convergence behaviour has
not shown satisfying characteristics for large scale
constrained optimization problems. To overcome the
drawbacks associated with the complex nonlinearities and
high dimensionalities, some enhancements to the
algorithm’s features are embedded. The proposed algorithm
is validated using some well-known test systems. A
comparison of the results with other algorithms is carried
out considering the effects of valve point as well as power
losses.

تفاصيل المقالة

كيفية الاقتباس
Farhat, I. (2024). Optimal Economic Dispatch of Thermal-Wind Power Systems with Valve-Point Effects using A Modified JAYA Algorithm . The International Journal of Engineering & Information Technology (IJEIT), 6(1). استرجع في من http://ijeit.misuratau.edu.ly/index.php/ijeit/article/view/286
القسم
المقالات

المراجع

A.J. Wood and B.F. Wollenberg, Power Generation Operation

and Control, New York, USA: John Wiley & Sons, Inc., 1996,

pp. 592.

T.A.A. Victoire and A.E. Jeyakumar, "Reserve Constrained

Dynamic Dispatch of Units With Valve-Point Effects," Power

Systems, IEEE Transactions on, vol. 20, pp. 1273-1282, 2005.

F.N. Lee and A.M. Breipohl, "Reserve constrained economic

dispatch with prohibited operating zones," Power Systems, IEEE

Transactions on, vol. 8, pp. 246-254, 1993.

Z. Gaing, "Particle swarm optimization to solving the economic

dispatch considering the generator constraints," Power Systems,

IEEE Transactions on, vol. 18, pp. 1187-1195, 2003.

P. Attaviriyanupap, H. Kita, E. Tanaka and J. Hasegawa, "A

Hybrid EP and SQP for Dynamic Economic Dispatch with

Nonsmooth Fuel Cost Function," Power Engineering Review,

IEEE, vol. 22, pp. 77-77, 2002.

D.C. Walters and G.B. Sheble, "Genetic algorithm solution of

economic dispatch with valve point loading," Power Systems,

IEEE Transactions on, vol. 8, pp. 1325-1332, 1993.

H. Yang, P. Yang and C. Huang, "Evolutionary programming

based economic dispatch for units with non-smooth fuel cost

functions," Power Systems, IEEE Transactions on, vol. 11, pp.

-118, 1996.

K.P. Wong and Y.W. Wong, "Genetic and genetic/simulatedannealing

approaches to economic dispatch," Generation,

Transmission and Distribution, IEE Proceedings-, vol. 141, pp.

-513, 1994.

J. Smith, R. Thresher, R. Zavadil, E. DeMeo, R. Piwko, B. Ernst

and T. Ackermann, "A mighty wind," Power and Energy

Magazine, IEEE, vol. 7; 7, pp. 41-51, 2009.

E.A. DeMeo, W. Grant, M.R. Milligan and M.J. Schuerger,

"Wind plant integration," Power and Energy Magazine, IEEE,

vol. 3; 3, pp. 38-46, 2005.

M. Ahlstrom, L. Jones, R. Zavadil and W. Grant, "The future of

wind forecasting and utility operations," Power and Energy

Magazine, IEEE, vol. 3; 3, pp. 57-64, 2005.

R. Zavadil, N. Miller, A. Ellis and E. Muljadi, "Making

connections: wind generation challenges and progress," Power

and Energy Magazine, IEEE, vol. 3; 3, pp. 26-37, 2005.

J.C. Smith, "Wind Power: Present Realities and Future

Possibilities," Proceedings of the IEEE, vol. 97; 97, pp. 195-197,

“THE SECRET IS OUT, WIND IS IN” available on line (February

,https://canwea.ca/wp-content/uploads/2019/03/canweasecretisout-feb-2019.pdf

J.C. Smith, "Winds of change issues in utility wind integration,"

Power and Energy Magazine, IEEE, vol. 3; 3, pp. 20-25, 2005.

J.C. Smith, M.R. Milligan, E.A. DeMeo and B. Parsons, "Utility

Wind Integration and Operating Impact State of the Art," Power

Systems, IEEE Transactions on, vol. 22; 22, pp. 900-908, 2007.

R. Piwko, D. Osborn, R. Gramlich, G. Jordan, D. Hawkins and

K. Porter, "Wind energy delivery issues," Power and Energy

Magazine, IEEE, vol. 3; 3, pp. 47-56, 2005.

P. Aravindhababu and K.R. Nayar, "Economic dispatch based on

optimal lambda using radial basis function network,"

International Journal of Electrical Power & Energy Systems, vol.

, pp. 551-556, 10. 2002.

B.H. Chowdhury and S. Rahman, "A review of recent advances

in economic dispatch," Power Systems, IEEE Transactions on,

vol. 5, pp. 1248-1259, 1990.

J.A. Momoh, R. Adapa and M.E. El-Hawary, "A review of

selected optimal power flow literature to 1993. I. Nonlinear and

quadratic programming approaches," Power Systems, IEEE

Transactions on, vol. 14, pp. 96-104, 1999.

J.A. Momoh, M.E. El-Hawary and R. Adapa, "A review of

selected optimal power flow literature to 1993. II. Newton, linear

programming and interior point methods," Power Systems, IEEE

Transactions on, vol. 14, pp. 105-111, 1999.

T.A.A. Victoire and A.E. Jeyakumar, "Hybrid PSO–SQP for

economic dispatch with valve-point effect," Electr.Power

Syst.Res., vol. 71, pp. 51-59, 9. 2004.

N. Sinha, R. Chakrabarti and P.K. Chattopadhyay, "Evolutionary

programming techniques for economic load dispatch,"

Evolutionary Computation, IEEE Transactions on, vol. 7, pp. 8394,

J. Tippayachai, W. Ongsakul and I. Ngamroo, "Parallel micro

genetic algorithm for constrained economic dispatch," Power

Systems, IEEE Transactions on, vol. 17, pp. 790-797, 2002.

W. Lin, F. Cheng and M. Tsay, "An improved tabu search for

economic dispatch with multiple minima," Power Systems, IEEE

Transactions on, vol. 17, pp. 108-112, 2002.

A.I. El-Gallad, M. El-Hawary, A.A. Sallam and A. Kalas,

"Swarm intelligence for hybrid cost dispatch problem," Electrical

and Computer Engineering, 2001. Canadian Conference on, vol.

, pp. 753-757, 2001.

A.I. Selvakumar and K. Thanushkodi, "A New Particle Swarm

Optimization Solution to Nonconvex Economic Dispatch

Problems," Power Systems, IEEE Transactions on, vol. 22, pp.

-51, 2007.

J. Park, K. Lee, J. Shin and K.Y. Lee, "A particle swarm

optimization for economic dispatch with nonsmooth cost

functions," Power Systems, IEEE Transactions on, vol. 20, pp.

-42, 2005.

J. Kennedy and R.C. Eberhart, "A discrete binary version of the

particle swarm algorithm," Systems, Man, and Cybernetics,

'Computational Cybernetics and Simulation'., 1997 IEEE

International Conference on, vol. 5, pp. 4104-4108 vol.5, 1997.

Y. Shi and R.C. Eberhart, "Fuzzy adaptive particle swarm

optimization," Evolutionary Computation, 2001. Proceedings of

the 2001 Congress on, vol. 1, pp. 101-106 vol. 1, 2001.

J. Kennedy and R. Eberhart, "Particle swarm optimization,"

Neural Networks, 1995. Proceedings., IEEE International

Conference on, vol. 4, pp. 1942-1948 vol.4, 1995.

I.A. Farhat and M.E. El-Hawary, "Modified bacterial foraging

algorithm for optimum economic dispatch," in Electrical Power

& Energy Conference (EPEC), 2009 IEEE, pp. 1-6, 2009.

I.A. Farhat and M.E. El-Hawary, “Bacterial Foraging Algorithm

for Optimum Economic-emission Dispatch," Electrical Power &

Energy Conference (EPEC), 2011 IEEE.

I .A. Farhat and A. O. Albakosh, “Multi-Objective Optimum

Economic-Emission Dispatch Considering the Environmental

Aspects," Journal of Humanities and Applied Science (JHAS),

vol. 28 , no. 1, June 2016.

I.A. Farhat, “Optimal Dynamic Economic Load Dispatch Using

Artificial Immune System," International Journal of Computer,

Information, Systems and Control Engineering, vol: 8, pp. 75-81,

no.1, 2013.

R. Venkata Rao, "Jaya: A simple and new optimization algorithm

for solving constrained and unconstrained optimization

problems," International journal of industrial computations vol.7,

pp. 19-34, 2016.

M.E. El-Hawary and G.S. Christensen, Optimal Economic

Operation of Electric Power Systems, New York: Academic

Press, 1979, pp. 278.

R. Fletcher, Practical Methods of Optimization, New York:

Wiley, 2000, pp. 450.

M.F. AlHajri and M.E. El-Hawary, "Pattern search optimization

applied to convex and non-convex economic dispatch," Systems,

Man and Cybernetics, 2007. ISIC. IEEE International Conference

on, pp. 2674-2678, 2007.

I.A. Farhat and M.E. El-Hawary, "Dynamic adaptive bacterial

foraging algorithm for optimum economic dispatch with valvepoint

effects and wind power," Generation, Transmission &

Distribution, IET, vol.4, pp. 989-999, 2010.