Apply Unit Commitment Method in Power Station to Minimize the Fuel Cost

Adel Elhadi M. Yahya; Mohamed Shaban; Yousif Yahya

doi:10.4236/jss.2015.37027

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JSS> Vol.3 No.7, July 2015

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Apply Unit Commitment Method in Power Station to Minimize the Fuel Cost ()

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DOI: 10.4236/jss.2015.37027 4,618 Downloads 5,352 Views

Author(s) Leave a comment

Adel Elhadi M. Yahya¹, Mohamed Shaban², Yousif Yahya³

Affiliation(s)

¹Department of Industrial Engineering, Regdalen, Al-Zawia University, Zawiya, Libya.
²Department of Electrical Engineering, Surman High Institute, Surman, Libya.
³School of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.

ABSTRACT

The goal of this paper study is to schedule the power generation units to minimize fuel consumption cost based on a model that solves unit commitment problems. This can be done by utilizing forward dynamic programming method to determine the most economic scheduling of generating units. The model is applied to power station, which consists of four generating units. The obtained results show that the applications of forward dynamic programming method offer substantial reduction in fuel consumption cost. The fuel consumption cost has been reduced from $ 116,326 to $ 102,181 within a 24-hour period. This means saving about 12.16% of fuel consumption cost. The study emphasizes the importance of applying modeling schedule programs to the operation of power generation units. Consequently, the less consumption of fuel is, the less losses of power and pollution will be.

KEYWORDS

Unit Commitment, Forward Dynamic Programming, Generation Scheduling, Operation Cost

Cite this paper

Yahya, A. , Shaban, M. and Yahya, Y. (2015) Apply Unit Commitment Method in Power Station to Minimize the Fuel Cost. Open Journal of Social Sciences, 3, 166-173. doi: 10.4236/jss.2015.37027.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Wood, A.J. and Wollenberg, B.F. (1996) Power Generation Operation and Control. 2nd Edition, Willey, New York.

[2]	Kirchmayer, L.K. (1958) Economic Operation of power System. New York, Wiley.

[3]	Stevenson, Jr., W.D. (1982) Elements of Power System Analysis. 4th Edition.

[4]	Chowdhury, B.H. and Rahman, S. (1990) A Review of Recent Advances in Economic Dispatch. IEEE Transactions on Power Systems, 5, 1248-1259. http://dx.doi.org/10.1109/59.99376

[5]	Farag, A., Al-baiyat, S. and Cheng, T.C. (1995) Economic Load Dispatch Multiobjective Optimization Procedures Using Linear Programming Techniques. IEEE Transactions on Power Systems, 10, 731-738. http://dx.doi.org/10.1109/59.387910

[6]	Sen, S. and Kothari, D.P. (1998) Optimal Thermal Generating Unit Com-mitment: A Review. International Journal of Electrical Power and Energy Systems, 20, 443-451. http://dx.doi.org/10.1016/S0142-0615(98)00013-1

[7]	Lai, L.L. (2001) Power System Restructuring and Deregulation. John Wiley and Sons, Ltd.

[8]	Sheble, G.B. (1999) Computational Auction Mechanisms for Restructured Power Industry Operation. Kluwer Academic Publishers. http://dx.doi.org/10.1007/978-1-4615-5157-7

[9]	Bhattacharya, K., Bollen, M.H.J. and Daalder, J.E. (2001) Operation of Restructured Power Systems. Kluwer Academic Publishers. http://dx.doi.org/10.1007/978-1-4615-1465-7

[10]	Talyor, G.A.B. Power System Economic. Edward Arnold, Ltd., London.

[11]	Han, X.S., Gooi, H.B. and Kirsechen, D.S. Dynamic Economic Dispatch.

[12]	Hansen, P. and Mlade-novc, N. A Separable Approximation Dynamic Programming Algorithm for Economic Dispatch with Transmission Losses.

[13]	Arroyo, J.M. and Conejo, A.J. Modeling of Start-Up and Shut-Down Power Trajectories of Thermal Units.

[14]	Huse, E.S. Power Generation Scheduling a Free Market Based Procedure with Reserve Constraints Included.

[15]	Ouiddir, R., Rahli, M., Rahli, M. and Abdelhakem-Koridak, L. Economic Dispatch Using a Genetic Algorithm. A genetic.

[16]	Mantawy, A.H. and Abdel-Magid, Y.L. A New Fuzzy Unit Commitment Model and Solution.

[17]	Aganagic, M., Awobamise, B., Raina, G. and McCartney, A.I. Economic Dispatch with Generation Contingency Constraints.

[18]	Andras Prekopa, R. Optimal Short Term.