پیوندهای مفید
آمار
| تعداد نشریات | 26 |
| تعداد شماره‌ها | 307 |
| تعداد مقالات | 2,644 |
| تعداد مشاهده مقاله | 3,974,069 |
| تعداد دریافت فایل اصل مقاله | 2,678,559 |
Hierarchy Style Application in Line Extension with Responsive Loads Evaluating the Dynamic Nature of Solar Units | ||
| Journal of Operation and Automation in Power Engineering | ||
| مقاله 11، دوره 6، شماره 2، اسفند 2018، صفحه 268-284 اصل مقاله (2.24 M) | ||
| نوع مقاله: Research paper | ||
| شناسه دیجیتال (DOI): 10.22098/joape.2006.4997.1380 | ||
| نویسندگان | ||
| H. Shayeghi* ؛ Y. Hashemi | ||
| Electrical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran. | ||
| چکیده | ||
| This paper presents a model for line extension scheduled to participate in responsive loads in the power system aiming the improvement of techno-economical parameters. The model is studied with the presence of photovoltaic generators that produce variable power depending on the geographical condition. The investment cost of the transmission expansion plan, demand response operation cost, generation costs and the sum of the voltage deviations are the four indices that the optimization problem is designed based on these four criteria. Objective functions are dynamic variables that change daily due to variation in generation and load. A multi-objective optimization method based on the analytic hierarchy technique is employed to solve the problem. The Pareto-optimal set is extracted with gravitational search style and the best solution is fund by AHT manner. Studies are carried out on the modified 30-bus and 24-bus IEEE test system to confirm the capability of the presented model. Two frameworks are defined to compare the suggested manner. A different amount of PV penetration is discussed in several scenarios. Also, load uncertainty is formulated and involved based on probability distribution function. | ||
| کلیدواژه‌ها | ||
| Planning؛ Responsive loads؛ Photovoltaic unit؛ Analytic hierarchy technique | ||
| مراجع | ||
|
[1] H. Aalami, M. P. Moghaddam, and G. Yousefi, “Demand response modeling considering interruptible/curtailable loads and capacity market programs,” Appl. Energy, vol. 87, pp. 243-250, 2010. [2] A. Hajebrahimi, A. Abdollahi, and M. Rashidinejad, “Probabilistic multiobjective transmission expansion planning incorporating demand response resources and large-scale distant wind farms,” IEEE Syst. J., vol. 11, pp. 1170-1181, 2017. [3] A. Yousefi, T. Nguyen, H. Zareipour, and O. Malik, “Congestion management using demand response and FACTS devices,” Int. J. Electr. Energy Syst., vol. 37, pp. 78-85, 2012. [4] [C. Bustos, E. Sauma, S. de la Torre, J. Aguado, J. Contreras, and D. Pozo, “Energy storage and transmission expansion planning: substitutes or complements?,” IET Gener. Transm. Distrib., 2017. [5] Y. Li, J. Wang, and T. Ding, “Clustering-based chance-constrained transmission expansion planning using an improved benders decomposition algorithm,” IET Gener. Transm. Distrib., 2017. [6] H. Gharibpour, F. Aminifar, and M. H. Bashi, “Short-circuit-constrained transmission expansion planning with bus splitting flexibility,” IET Gener. Transm. Distrib., vol. 12, pp. 217-226, 2017. [7] Y. Lei, P. Zhang, K. Hou, H. Jia, Y. Mu, and B. Sui, “An incremental reliability assessment approach for transmission expansion planning,” IEEE Trans. Power Syst., vol. 33, pp. 2597-2609, 2018. [8] H. Simorgh, H. D. Mojarrad, H. Razmi, and G. B. Gharehpetian, “Cost-based optimal siting and sizing of electric vehicle charging stations considering demand response programs,” IET Gener. Transm. Distrib., vol. 12, no. 8, pp. 1712-1720, 2017. [9] J. Wu, B. Zhang, and Y. Jiang, “Optimal day-ahead demand response contract for congestion management in the deregulated power market considering wind power,” IET Gener. Transm. Distrib., vol. 12, pp. 917-926, 2017. [10] M. Shadnam Zarbil and M. Sabahi, “High performance Cuk converter considering non-linear inductors for photovoltaic system applications,” J. Oper. Autom. Power Eng., vol. 3, pp. 158-166, 2015. [11] M. Hejri, H. Mokhtari, M. R. Azizian, M. Ghandhari, and L. Soder, “On the parameter extraction of a five-parameter double-diode model of photovoltaic cells and modules,” IEEE J. Photovoltaics, vol. 4, pp. 915-923, 2014. [12] M. Alsayed, M. Cacciato, G. Scarcella, and G. Scelba, “Design of hybrid power generation systems based on multi criteria decision analysis,” Solar Energy, vol. 105, pp. 548-560, 2014. [13] C. Rathore and R. Roy, “Impact of wind uncertainty, plug-in-electric vehicles and demand response program on transmission network expansion planning,” Int. J. Electr. Power. Energy Syst., vol. 75, pp. 59-73, 2016. [14] C. Li, Z. Dong, G. Chen, F. Luo, and J. Liu, “Flexible transmission expansion planning associated with large-scale wind farms integration considering demand response,” IET Gener. Transm. Distrib., vol. 9, pp. 2276-2283, 2015. [15] H. M Samakoosh, M. Jafari-Nokandi, and A. Sheikholeslami, “Coordinated resource scheduling in a large scale virtual power plant considering demand response and energy storages,” J. Oper. Autom. Power Eng., vol. 6, pp. 50-60, 2018. [16] Z. Xu and H. Liao, “Intuitionistic fuzzy analytic hierarchy process,” IEEE Trans. Fuzzy Syst., vol. 22, pp. 749-761, 2014. [17] C. A. C. Coello, G. B. Lamont, and D. A. V. Veldhuizen, “Evolutionary algorithms for solving multi-objective problems,” Springer 2007. [18] E. Rashedi, H. Nezamabadi-Pour, and S. Saryazdi, “Filter modeling using gravitational search algorithm,” Eng. Appl. Artif. Intell., vol. 24, pp. 117-122, 2011. | ||
|
آمار تعداد مشاهده مقاله: 716 تعداد دریافت فایل اصل مقاله: 610 |
||