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Resource Scheduling in a Smart Grid with Renewable Energy Resources and Plug-In Vehicles by MINLP Method | ||
| AUT Journal of Electrical Engineering | ||
| مقاله 5، دوره 47، شماره 2، اسفند 2015، صفحه 39-47 اصل مقاله (794.4 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/eej.2015.581 | ||
| نویسندگان | ||
| A. Shahmoradi* 1؛ M. Kalantar2 | ||
| 1MSc. Student, Department of Electrical Engineering, Iran University of science and technology (IUST), Tehran, Iran. | ||
| 2Professor, Department of Electrical Engineering, Iran University of science and technology (IUST), Tehran, Iran. | ||
| چکیده | ||
| This paper presents a formulation of unit commitment for thermal units integrated with wind and solar energy systems and electrical vehicles with emphasizing on Mixed Integer Nonlinear Programming (MINLP). The renewable energy resources are included in this model due to their low electricity cost and positive effect on environment. As well as, coordinated charging strategy of electrical vehicles and reasonable usage of V2G power can reduce the generating cost. Electric vehicles and renewable energy resources are the most promising options for alternative sources in the near future. The proposed method is solved using MINLP solver in GAMS software. The problem is finding a solution which satisfies the constraints and minimizes the objective function. As a case study, results on IEEE ten-unit system are presented in this paper. The numerical tests and results showing that their inclusion with the conventional power generating sources reduces the operational cost and greenhouse gas emissions were presented in electric power industry. | ||
| کلیدواژه‌ها | ||
| Unit commitment؛ Generation scheduling؛ Renewable energy resources؛ Vehicle to grid؛ MINLP method | ||
| عنوان مقاله [English] | ||
| Resource Scheduling in a Smart Grid with Renewable Energy Resources and Plug-In Vehicles by MINLP Method | ||
| نویسندگان [English] | ||
| A. Shahmoradi1؛ M. Kalantar2 | ||
| 1MSc. Student, Department of Electrical Engineering, Iran University of science and technology (IUST), Tehran, Iran. | ||
| 2Professor, Department of Electrical Engineering, Iran University of science and technology (IUST), Tehran, Iran. | ||
| چکیده [English] | ||
| This paper presents a formulation of unit commitment for thermal units integrated with wind and solar energy systems and electrical vehicles with emphasizing on Mixed Integer Nonlinear Programming (MINLP). The renewable energy resources are included in this model due to their low electricity cost and positive effect on environment. As well as, coordinated charging strategy of electrical vehicles and reasonable usage of V2G power can reduce the generating cost. Electric vehicles and renewable energy resources are the most promising options for alternative sources in the near future. The proposed method is solved using MINLP solver in GAMS software. The problem is finding a solution which satisfies the constraints and minimizes the objective function. As a case study, results on IEEE ten-unit system are presented in this paper. The numerical tests and results showing that their inclusion with the conventional power generating sources reduces the operational cost and greenhouse gas emissions were presented in electric power industry. | ||
| کلیدواژه‌ها [English] | ||
| Unit commitment, Generation scheduling, Renewable energy resources, Vehicle to grid, MINLP method | ||
| مراجع | ||
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[1] Saber, Ahmed Yousuf, and Ganesh Kumar Venayagamoorthy. "Resource scheduling under uncertainty in a smart grid with renewables and plug-in vehicles." Systems Journal, IEEE 6.1 (2012): 103-109. [2] Khodayar, Mohammad E., Lei Wu, and Mohammad Shahidehpour. "Hourly coordination of electric vehicle operation and volatile wind power generation in SCUC." Smart Grid, IEEE Transactions on 3.3 (2012): 1271-1279. [3] Mantawy, A. H., Youssef L. Abdel-Magid, and Shokri Z. Selim. "Unit commitment by tabu search." IEE Proceedings-Generation, Transmission and Distribution 145.1 (1998): 56-64. [4] Seki, Takeshi, Nobuo Yamashita, and Kaoru Kawamoto,"New local search methods for improving the Lagrangian-relaxation-based unit commitment solution," Power Systems, IEEE Transactions on 25.1 (2010): 272-283. [5] Zhai, Qiaozhu, Xiaohong Guan, and Jian Cui, "Unit commitment with identical units successive subproblem solving method based on Lagrangian relaxation," Power Systems, IEEE Transactions on 17.4 (2002): 1250-1257. [6] Rajan, C. Christober Asir, and M. R. Mohan, "An evolutionary programming-based tabu search method for solving the unit commitment problem," Power Systems, IEEE Transactions on 19.1 (2004): 577-585. [7] Shobana, S., and R. Janani,"Optimization of Unit Commitment Problem and Constrained Emission Using Genetic Algorithm," International Journal of Emerging Technology and Advanced Engineering 3.5 (2013):367-371. [8] Samuel, G. Giftson, and C. Christober Asir Rajan. "A Modified Shuffled Frog Leaping Algorithm for Long-Term Generation Maintenance Scheduling." Proceedings of the Third International Conference on Soft Computing for Problem Solving. Springer India, (2014): 11-24. [9] Gaing, Zwe-Lee. "Particle swarm optimization to solving the economic dispatch considering the generator constraints." Power Systems, IEEE Transactions on 18.3 (2003): 1187-1195. [10] Samadi Biniazy, M; Rajabi, H, "determine the optimum amount of spinning reserve capacity and its distribution between the units considering possible events in the power system", Twenty-Fourth International Power System Conference Tehran, tavanir company, Energy Research Institute, (2009). [11] Jianxue, Wang, Wang Xifan, and Song Yonghua, "Study on reserve problem in power market," Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on. Vol. 4. IEEE, (2002): 2418 – 2422. [12] National Renewable Energy Laboratory (NREL) Solar Radiation Research Laboratory (SRRL), Golden, CO. [Online]. Available: http://www.nrel.gov/midc/srrl_bms/. [13] National Renewable Energy Laboratory (NREL) National Wind Technology Center (NWTC), Boulder, CO. [Online]. Available: http://www.nrel.gov/midc/nwtc_m2/. [14] General Electric 1.85-87 Wind Turbine Datasheet. [Online].Available: https://renewables.gepower.com/content/dam/gepowerrenewables/global/en_US/documents/GEA30627A_Wind_1.85-87_Brochure_LR.pdf. [15] Ting, T. O., M. V. C. Rao, and C. K. Loo, "A novel approach for unit commitment problem via an effective hybrid particle swarm optimization," Power Systems, IEEE Transactions on 21.1 (2006): 411-418. [16] Saber, Ahmed Yousuf, and Ganesh Kumar Venayagamoorthy. "Plug-in vehicles and renewable energy sources for cost and emission reductions." Industrial Electronics, IEEE Transactions on 58.4 (2011): 1229-1238. [17] Kazarlis, Spyros A., A. G. Bakirtzis, and Vassilios Petridis, "A genetic algorithm solution to the unit commitment problem," Power Systems, IEEE Transactions on 11.1 (1996): 83-92. [18] Damousis, Ioannis G., Anastasios G. Bakirtzis, and Petros S. Dokopoulos, "A solution to the unit-commitment problem using integer-coded genetic algorithm," Power Systems, IEEE Transactions on 19.2 (2004): 1165-1172. [19] Saber, Ahmed Yousuf, and Ganesh Kumar Venayagamoorthy, "Intelligent unit commitment with vehicle-to-grid—A cost-emission optimization," Journal of Power Sources 195.3 (2010): 898-911. [20] Cheng, Chuan-Ping, Chih-Wen Liu, and Chun-Chang Liu, "Unit commitment by Lagrangian relaxation and genetic algorithms," Power Systems, IEEE Transactions on 15.2 (2000): 707-714. [21] Ting, T. O., M. V. C. Rao, and C. K. Loo, "A novel approach for unit commitment problem via an effective hybrid particle swarm optimization," Power Systems, IEEE Transactions on 21.1 (2006): 411-418. [22] Seki, Takeshi, Nobuo Yamashita, and Kaoru Kawamoto, "New local search methods for improving the Lagrangian-relaxation-based unit commitment solution," Power Systems, IEEE Transactions on 25.1 (2010): 272-283. [23] Ebrahimi, Javad, Seyed Hossein Hosseinian, and Gevorg B. Gharehpetian, "Unit commitment problem solution using shuffled frog leaping algorithm," Power Systems, IEEE Transactions on 26.2 (2011): 573-581. [24] Juste, K. A., H. Kita, E. Tanaka, and J. Hasegawa, "An evolutionary programming solution to the unit commitment problem," Power Systems, IEEE Transactions on 14, no. 4 (1999): 1452-1459. [25] Elbehairy, Hatem, Emad Elbeltagi, Tarek Hegazy, and Khaled Soudki, "Comparison of two evolutionary algorithms for optimization of bridge deck repairs," Computer aided Civil and Infrastructure Engineering 21,8 (2006): 561-572. [26] Zwe-Lee Gaing. "Discrete particle swarm optimization algorithm for unit commitment," IEEE Power Engineering Society General Meeting, 1 (2003): 418-424. [27] Balci, Huseyin Hakan, and Jorge F. Valenzuela. "Scheduling electric power generators using particle swarm optimization combined with the Lagrangian relaxation method." International Journal of Applied Mathematics and Computer Science 14.3 (2004): 411-422. [28] Kumar, Dwivedi Sanjeet, Dipti Srinivasan, and Thomas Reindl. "Optimal power scheduling of distributed resources in Smart Grid." Innovative Smart Grid Technologies-Asia (ISGT Asia), 2013 IEEE. IEEE, (2013): 1-6. | ||
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