Optimum Generation Mix Possibilities for Malaysia Power Sector in 2030

Siti Mariam Mohd Shokri; Nofri Yenita Dahlan; Norlee Husnafeza Ahmad

doi:10.4028/www.scientific.net/AMM.785.521

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 785Optimum Generation Mix Possibilities for Malaysia...

Optimum Generation Mix Possibilities for Malaysia Power Sector in 2030

Abstract:

This paper presents findings from optimization of a long-term generation mix for Malaysia electricity power supply using Dynamic Programming (DP) technique. The optimization is modelled to minimize the total costs as the objective function subjects to demand and policy constraints. . Several technologies have been used for generation candidates such as coal, gas and nuclear. The model has been tested on a generation portfolio based on Malaysia power system. Result shows that a balance generation mix for Malaysia in 2030 will be 30% is from coal, 31.6% from gas, 17.5% from nuclear, 6.8% from hydro and 14% from RE.

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Periodical:

Applied Mechanics and Materials (Volume 785)

Pages:

521-525

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.785.521

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Online since:

August 2015

Authors:

Siti Mariam Mohd Shokri*, Nofri Yenita Dahlan, Norlee Husnafeza Ahmad

Keywords:

Dynamic Programming (DP), Energy Policies, Generation Mix, Optimization

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References

[1] Z. Ab. Muis, H. Hashim, Z. Abd. Manan, and F. Mohd. Taha: Optimal Electricity Generation Mix with Carbon Dioxide Constraint, (2004), available from: fkkksa. utm. my.

Google Scholar

[2] A. Mohd. Isa, H. Magori, T. Niimura, and R. Yokoyama: Multi-Criteria Generation Optimal Mix Planning for Malaysia " s Additional Capacity, vol. 4, no. 4, p.221–228, (2010).

Google Scholar

[3] S. Kannan, S. M. R. Slochanal, and N. P. Padhy: Application and Comparison of Metaheuristic Techniques to Generation Expansion Planning Problem, vol. 20, no. 1, p.466–475, (2005).

DOI: 10.1109/tpwrs.2004.840451

Google Scholar

[4] Y. M. Park, J. B. Park, and J. R. Won: A hybrid genetic algorithm / dynamic programming approach to optimal long-term generation expansion planning, vol. 20, no. 4, p.295–303, (1998).

DOI: 10.1016/s0142-0615(97)00070-7

Google Scholar

[5] International. Energy. Agency. (IEA) and Nuclear. Energy. Agency. (NEA): Projected Costs of Generating Electricity 2010 Edition, Organisation for Economic Co-Operation and development, OECD Publishing, (2010) from: http: /www. oecd-nea. org.

DOI: 10.1787/9789264084315-en

Google Scholar

[6] S. Mariam. Mohd Shokri and N. Yenita. Dahlan: An Application of the Multi-Objective Approach for the Evaluation of Long-Term Electrical Generation Optimum Mix: a Case Study, Int. Rev. Electr. Eng., vol. 9, no. 5, p.991, (2014).

DOI: 10.15866/iree.v9i5.2515

Google Scholar