Omid Salehian Rad, Department of Mechanical Engineering Islamic Azad University Mashhad Branch, Iran
Reza Saleh, Vahid Nejati, Department of Mechanical Engineering Islamic Azad University Mashhad Branch, Iran
In recent years, in order to supply the load of courier the spreading production capacities of the factories were used and the amount of delivered liquid fuel to them was provided by Allocation Tavanir company and National Refinery and Distributing of Oil Products. Regarding to the limitations of fuel supply, the capacity of storing tanks of eligible factories and also the limitations of electricity network (distribution), the issue of prioritizing of fuel supply in these units is of great importance in a way that network security is preserved in addition to minimizing the utilizing costs. The limitations of the security of electricity network in the issue of planning the liquid fuel of spreading manufacturing units has been taken into consideration in this article by using an applicable method based on genetic algorithm. In this method, at first, the short-term production planning and based on that daily needed fuel of each unit is identified. Then the limitations of network security are evaluated per hour in usual and urgent conditions. If the network security is violated, the production amount and based on that the delivered fuel to the units is improved by moving the production of the units. The results of simulation of the suggested model show that the fuel is allocated more to the units that have lower cost ratio and more efficiency so that the network security is supplied.
Planning Fuel Supply, Spreading Production Units of the Factories, Genetic Algorithm, Network Security, Production Transfer
[1] Wood A. J., Wollenberg B.F., “Power Generation, Operation, and Control, second edition”, Wiley Publishing, 1996.
[2] Shih, L., “A cost minimization model for coal import strategy”, International Journal of Production Economics, Vol. 51, pp. 243-249, 1997.
[3] Seymore, G. F., “Fuel Scheduling for Electric Power Systems”, Electric Power Problems: The Mathematical Challenge, SIAM, Philadelphia, pp.378-392, 1980.
[4] Rosenberg, L. D., Williams, D. A., Campbell, J. D., “Fuel scheduling and accounting”, EEE Transactions on Power Apparatus and Systems, Vol. 5, pp. 682-688, 1990.
[5] Trefny, F. J., Lee, K. Y., “Economic Fuel Dispatch”, IEEE Transactions on Power Apparatus and Systems, Vol PAS. 100, pp. 3468-3477, 1981.
[6] Basu, M., Chattopadhyay, P. K., “Economic Fuel Scheduling by Hopfield Neural Networks”, Journal- Institution of Engineers India Part EL Electrical Engineering Division, Vol. 86, pp. 305-311, 2006.
[7] Manoharan, P. S., Kannan, P. S., Ramanathan, V., “A Novel EP Approach for Multi-area Economic Dispatch With Multiple Fuel Option”, Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 16, NO. 2, 2008.
[8] Sahin, C., Li, Z., Shahidepour, M., Erkmen, I., “Impact of Natural Gas System on Risk-Constrained Midterm Hydrothermal Scheduling” , IEEE Trans on Power Systems, Vol. 26, NO. 2, 2011.
[9] Shahidepour, M., Yong, Fu., Wiedman, T., “Impact of Natural Gas Infrastructure on Electric Power System”, Proceedings of The IEEE,Vol. 93, NO. 5, 2005.
[10] Chen, H., Baldick, R., “Optimizing Short-Term Natural Gas Supply Portfolio foe Electric Utility Companies”, IEEE Transaction on Power System, Vol. 22, NO. 1, 2007.
[11] Mohsen Asili, Mostafa Rajabi Mashhadi, Mohammad Hosein Javidi, "short-term Programming for supplying the fuel of the powerhouses in conditions of crisis", 23rd international conference on electricity 2008- PSC.
[12] Mohammad Ali Lssemi, Mohsen Asili, "Programing the second fuelsupply of the powerhouses in the crisis conditions of lack of gas fuel regarding the limitations of transfer network", 21st conference of electricity engineering of Iran.
[13] Regulations of the holiday plans and fixing actions in industries of Tavanir Company.
[14] Statistics and information of the company of electricity distribution of Mashhad.
APA:
Rad, O. S., & Vahid Nejati, R. S. (2020). Identifying Priorities for Liquid Fuel Supply of Spreading Productive Units in Order to Supply the Load of Summer Courier Using Genetic Algorithm. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 137, 23-32. doi: 10.33832/ijast.2020.137.03.
MLA:
Rad, Omid Salehian, et al. “Identifying Priorities for Liquid Fuel Supply of Spreading Productive Units in Order to Supply the Load of Summer Courier Using Genetic Algorithm.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 137, 2020, pp. 23-32. IJAST, http://article.nadiapub.com/IJAST/Vol137/3.html.
IEEE:
[1] O. Salehian Rad, and R. S. Vahid Nejati, "Identifying Priorities for Liquid Fuel Supply of Spreading Productive Units in Order to Supply the Load of Summer Courier Using Genetic Algorithm." International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 137, pp. 23-32, Apr 2020.
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