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Proposing a Mathematical Model to Expand Power Generation Capacity Considering Dispersed Generation Units to Decrease Carbon Dioxide | ||
Industrial Management Journal | ||
مقاله 3، دوره 9، شماره 4، 2017، صفحه 587-608 اصل مقاله (489.88 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/imj.2018.254296.1007407 | ||
نویسندگان | ||
Ezzatollah Asgharizadeh1؛ Mohammad reza Mehrgan2؛ Hamed Shakouri3؛ Mohammad Modarres Yazdi4؛ Mohammad Reza Taghizadeh Yazdi* 5 | ||
1Associate Professor, Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran | ||
2Professor, Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran. | ||
3NullAssociate Professor, Faculty of Industrial Engineering, University of Tehran, Tehran, Iran | ||
4Professor, Faculty of Industrial Engineering, Sharif University of Technology, Tehran, Iran | ||
5Mohammad Reza Taghizadeh Yazdi, Ph.D. Assistant Professor / Department of Industrial Management Faculty of Management / University of Tehran | ||
چکیده | ||
This study presents a mathematical model for the development of power plants capacity to control carbon dioxide. The objective function of the model is to minimize the costs of investing in new power plants, costs of fuels, costs of maintenance and social costs of carbon dioxide over the years from 2011 to 2025. The model has some constraints including demand, development of renewable power plants and development of dispersed generation sites. The proposed model has been solved and analyzed in different scenarios regarding approaches such as "economic and environmental", “economic” and “decreasing the costs of investment in renewable technologies”. It should be noted that having conducted the first scenario, the sensitivity of the mathematical model has been studied in relation to a number of parameters. These parameters include the efficiency of technologies, the social costs of carbon dioxide and the costs of maintaining power generation technologies. In the scenario with economic and environmental approach, combined cycle technologies, CHP, small wind and large wind; and in the economic approach, combined cycle technology, CHP and large wind have been justified. Moreover, in the scenario with the reduction of investment costs, variables related to renewable technologies, combined cycle technology, CHP, small wind, large wind and photovoltaic have been taken into account. | ||
کلیدواژهها | ||
distributed generation؛ Greenhouse Gases؛ Power Generation Expansion Planning؛ Social Costs of Carbon Dioxide | ||
مراجع | ||
منابع شفیعی، س. ا.؛ مقدم تبریزی، م.ع.؛ فرمد، م. (1387). توسعۀ سیستم عرضۀ برق کشور در شرایط محدودیت سوخت نیروگاهها در ماههای سرد. بیست و سومین کنفرانس بینالمللی برق. غروی، م.؛ پرتوی راد، م. (1382). ارزیابی آثار کنترل انتشار مواد آلایندۀ هوا توسط صنعت برق بر هزینۀ تولید برق در ایران. اولین کنفرانس ملی نیروگاههای آبیکشور. قادری شمیم، ا.؛ پارسا مقدم، م.؛ شیخ السلامی، م. ک. (1393). برنامهریزی توسعۀ تولید با درنظر گرفتن سرمایهگذاری در برنامههای افزایش بازدهی انرژی. نشریۀ علمی ـ پژوهشی کیفیت و بهرهوری صنعت برق ایران، 3 (5)، 26-18. میثاقی، فرشید؛ بارفروشی، ت.؛ جعفری، م. (1396). برنامهریزی توسعۀ تولیدات پراکنده در پستهای فوق توزیع با در نظر گرفتن توسعۀ پستهای انتقال با استفاده از مدل دوسطحی جدید. فصلنامۀ مهندسی برق دانشگاه تبریز، 1(47).
References
Cui, H., Dai, W. (2011). Multi-objective optimal allocation of distributed generation in smart grid. International conference on electrical and control engineering (ICECE), pp 713–717. Yichang, China, 16-18 September.
Ghaderi Shamim, A., Parsa Moghaddam, M., Sheikh-El-Eslami, M.K. (2014). Generation Expansion Planning with Considering Energy Efficiency Investments. Iranian Electric Industry Journal of Quality and Productivity, 3(5), 18-26. (in Persian)
Gharavi, M., Partovi Rad, M. (2003). Evaluation of the effects of controlling the emission of pollutants by the electric power industry on the cost of electricity production in Iran. The first national conference of the country's hydroelectric plants, 25-31. (in Persian)
Jin, S., Ryan, S. M., Watson, J. P., Woodruff, D. L. (2011). Modeling and Solving a Large-Scale Generation Expansion Planning Problem under Uncertainty. Industrial and Manufacturing Systems Engineering, 2(3-4), 209-242.
Luz, T., Moura, P., Almeida, A. D. (2018). Multi-objective power generation expansion planning with high penetration of renewables. Renewable and Sustainable Energy Reviews, 81 (1), 2637–2643.
Misaghi, F., Barforoshi, T., Jafari, M. (2017). Distributed Generation Expansion Planning in Sub-Transmission Substations Considering Transmission Substations Expansions Using a Novel Bi-level Model. Tabriz Journal of Electrical Engineering, 47(1), 275-286. (in Persian)
Sepasian, M. S., Seifi, H., Foroud, A.A., Hatami, A. R. (2009). A multiyear security constrained hybrid generation-transmission expansion planning algorithm including fuel supply costs. IEEE Transactions on Power Systems, 24 (3), 1609-1618.
Shafiei, S. E., Moghaddam Tabrizi, M. A., Faramad, M. (2008). Development of the power supply system of the country under the conditions of the fuel supply of power plants in cold months. 23rd International Power Engineering Conference, Iran. (in Persian)
Sharan, I., Balasubramanian, R., Integrated generation and transmission expansion planning including power and fuel transportation constraints. Energy Policy, 43, 275-284.
UK Electricity Generation Costs Update, Department of Energy and Climate Change (DECC), Jun. 2010.
Valinejad, J., Barforoushi, T. (2015). Generation expansion planning in electricity markets: A novel framework based on dynamic stochastic MPEC. Electrical Power and Energy Systems, 70 (1), 108–117.
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