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IJSTR >> Volume 4 - Issue 3, March 2015 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Sensitivity Analysis of a Mixed Integer Linear Programming Model For Optimal Hydrothermal Energy Generation For Ghana

[Full Text]

 

AUTHOR(S)

Christian John Etwire, Stephen B. Twum

 

KEYWORDS

Keywords: Stability, Post Optimality Analysis, Scheduling, Marginal Cost

 

ABSTRACT

Abstract: This paper examines further a Mixed Integer Linear Programming model constructed for optimal hydrothermal energy generation for Ghana as in [1]. Post Optimal Analysis is carried out on the model in order to assess its stability to slight variations of some input parameters such as minimum level running costs, extra hourly running costs above minimum level and start up costs of each generator on one hand and load demands and reserve margins on the other. The results show that the firm could minimize its cost of power generation if its input parameters were comparable to those lying between the 10 percent and -10 percent range.The10 percent and -10 percent range yielded a range of investment plans for the firmand also provided a basis for the selection of the best optimal solution.

 

REFERENCES

[1] Christian John Etwire and Stephen B. Twum, (2014), Optimal Hydrothermal Energy Generation for Ghana, International Journal of Scientific and Technology Research vol3, Issue 12, December 2014, pp. 65-74, ISSN 2277- 8616.

[2] Sinha N, R. Chakrabarti and P. K. Chattopadhyay, “Evolutionary Programming Techniques Economic Load Dispatch,” IEEE Trans. on Evolutionary Computation, vol. 7, no. 1, pp. 83 – 94.

[3] Delarue, E., David, B., Ronnie, B. and William, D., (2007), “Development of a Comprehensive Electricity GenerationSimulation Model Using a Mixed Integer Programming Approach”.Proceedings of world academy of science, engineering and technology,22: 99-104

[4] Nadia, Z., Ali, K. and Majid, O. (2008). “OptimalUnit Commitment Using Equivalent Linear Minimum Up and Down Time Constraints.”2nd IEEE International Conference on Power and Energy. Malaysia, 1021-1026

[5] Ana, V. and Pedroso, J. P., (2012). A new MILP-based approach for Unit Commitment in power production planning, InternationalJournal of Electrical Power and Energy Systems.44: 997- 1005.

[6] Morales-Espana, G., Jesus, M. L., and Andres, R., (2013). “Tight and Compact MILP Formulation of Start-Up and Shut-DownRamping in Unit Commitment.”IEEE Transactions on Power Systems.28(2): 1288-1296.

[7] Taha H.A,(2011), Operations Research: An Introduction 9th Ed. Pearson Edu. Inc., Prentice Hall USA.

[8] Arthur, S., and Sheffrin, M. S. (2003), Economics: Principle inAction. Upper Saddle River New Jersey, Pearson Prentice Hall, 111.