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Optimal Design of an Interruptible Load Program from the Viewpoint of an Industrial Customer | ||
| International Journal of Industrial Electronics Control and Optimization | ||
| مقاله 37، دوره 3، شماره 3، مهر 2020، صفحه 301-311 اصل مقاله (1.07 M) | ||
| نوع مقاله: Research Articles | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2020.29519.1163 | ||
| نویسندگان | ||
| Mahdi Samadi* ؛ Karim Karami Nezhad؛ Elahe Zakikhani | ||
| Department of Electrical and Computer Engineering, University of Hakim Sabzevari, Sabzevar, Iran | ||
| چکیده | ||
| The interruptible load program (ILP) is one of the most common demand response programs, which is often used by industrial customers. The purpose of implementing this program is to reduce the customer's peak demand in response to the incentives set by a contract. If no attention is paid to characteristics of the industrial customer's production process, the participation in ILP will not be possible. Therefore, complying with customer's technical constraints and optimal design of the program is of great importance. This study aims to present a new model for the optimal design of ILP from the perspective of a cement manufacturing company as an industrial customer. In this regard, the manufacturing process and the constraints of operation of a cement plant are fully modeled and all relevant constraints and requirements are considered. The objective function is the maximum profit, so the ILP is designed such that the cement plant's profit can be maximized without disrupting the normal performance of the production process. The proposed optimization problem is a mixed-integer non-linear one for which a suitable genetic algorithm is designed and used. In the proposed approach, the optimal incentive level is determined by assuming a specific budget level (related to the power company). The implementation of the proposed optimal design will satisfy the power system operator for reducing peak demand and the customer for earning more profit. | ||
| کلیدواژه‌ها | ||
| Interruptible Load؛ Optimal Design؛ Cement Production Process؛ Industrial Load؛ Peak Reduction | ||
| مراجع | ||
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[1] M. Ortega, C. Bel C, G. Escrivá, and A. Domijan, “Evaluation and assessment of demand response potential applied to the meat industry”, Applied Energy, Vol. 92, pp. 84-91, 2012. [2] S. Esmailnajad, J.Sundquist, “Demand Side Management in Swedish Indutry,” M.S. Thesis in Chalmers University of technology, Sweden, 2014. [3] H. Safari Faramad, H. Rajabi Mashhadi, “Real modeling of Great sample Manageable loads in order to manage load and participate in Interruptible loads plans”, 26th International Power System Conference, Iran, Tehran, (In Persian), 2011. [4] M. Paulus, F. Borggrefe, “The potential of demand-side management in energy-intensive industries for electricity markets in Germany,” Applied Energy, Vol. 88, No.2, pp. 432-441, 2011. [5] N. Shamloo, M. Aras Nezhad, “The feasibility of using interruptible tariffs in the steel industry through modeling the production process”, 31th International Power System Conference, Iran, Tehran, (In Persian), 2016. [6] H.A. Aalami, M.P. Moghaddam, and G.R. Yousefi GR. “Demand response modeling considering interruptible/curtailable loads and capacity market programs”, Applied Energy, Vol. 87, No. 1, pp. 243-250, 2010. [7] M.W. Leinmiller, “Total power management for the cement Industry”, Cement Industry Technical Conference, IEEE Conferences, Dallas, TX, USA, pp. 97-107, May 2003. [8] W. Niu, Y. Li, “Uncertain optimization decision of interruptible load in Demand Response program” in Innovative Smart Grid Technologies-Asia (ISGT Asia), Kuala Lumpur, Malaysia, pp. 675-679, May 2014. [9] J.R García, C.A. Bel, M.A. Ortega, and E.P. Lopez, “A novel tool for the evaluation and assessment of demand response activities in the industrial sector”, Energy, Vol. 113, pp. 1136-1146, 2016. [10] X. Wang, N.H. El-Farra, and A. Palazoglu, “Optimal scheduling of demand responsive industrial production with hybrid renewable energy systems”,Renewable Energy, Vol. 31, pp. 53-64, 2017. [11] C.A. Bel, et al. “Technical and economical tools to assess customer demand response in the commercial sector”, Energy Conversion and Management, Vol. 50, No. 10, pp. 2605-2612, 2009. [12] H. Safari farmad, H. Rajabi Mashhadi, and S. Biglar, “Risk Modeling in Power Planning for Power Distribution Companies in a Competitive Environment in the Presence of Interruptible loads” 17th Conference on Power Distribution Networks, (In Persian), 2012. [13] M. Rahmani-andebili, “Modeling nonlinear incentive-based and price-based demand response programs and implementing on real power markets”, Electric Power Systems Research, Vol. 132, pp. 115-124, 2016. [14] M. Rahmani-Andebili, “Nonlinear demand response programs for residential customers with nonlinear behavioral models”, Energy and Buildings, Vol. 1, pp. 352-362, 2016 [15] C. De Jonghe, B.F. Hobbs, and R. Belmans, “Value of price responsive load for wind integration in unit commitment”, IEEE Transactions on power systems, Vol. 29, No. 2, pp. 675-85, 2014. [16] R. Deng, et al. “A survey on demand response in smart grids: Mathematical models and approaches”, IEEE Transactions on Industrial Informatics, Vol. 11, No. 3, pp. 570-582, 2015. [17] S. Mohajeryami, Saeed, “A novel economic model for price-based demand response”, Electric Power Systems Research, Vol. 135, pp. 1-9, 2016. [18] H.Izad khasti, R.Kipour, “Planning optimal demand response of Electricity Demand Based on Economic Modeling of Flexible Demand Function in Iran”, Iranian Energy Economics Researches, Vol. 3 , No. 11, pp. 67-90, (In Persian), 2014 [19] M. P. Moghaddam, A. Abdollahi, and M. Rashidinejad, “Flexible demand response programs modeling in competitive electricity markets”, Applied Energy, Vol. 88, pp. 3257-3269, 2011. [20] S. Sorkhani, S. Suleimani, and B. Mozafari, "Strategic bidding for power distribution companies in the electricity market on a day-ahead basis in the presence of Dispersed produce and Interruptible loads”, 26th International Power System Conference, Iran, Tehran, (In Persian), 2011. [21] Hong Hu, et al., “Research on Peak Load Optimization Model Considering Interruptible Load at Peak Time”, China International Conference on Electricity Distribution (CICED),Tianjin, September 2018. [22] J. Zhang, P. Zhang, H. Wu, X. Qi, S. Yang and Z. Li, "Two-stage load-scheduling model for the incentive-based demand response of industrial users considering load aggregators," IET Generation, Transmission & Distribution, Vol. 12, No. 14, pp. 3518-3526, August 2018. [23] A. Aryandoust, J. Lilliestam,”The potential and usefulness of demand response to provide electricity system services”, Applied Energy, Vol. 204, pp. 749-766, 2017. [24] X. Jian, L. Zhang, X. Miao, Y. Zhang, and X. Han, “Designing interruptible load management scheme based on customer performance using mechanism design theory”, International Journal of Electrical Power & Energy Systems, Vol. 95, pp. 476-489, 2018. [25] M. Bastani, A.E. Thanos, H. Damgacioglu, N. Celik, and C.H. Chen, “An evolutionary simulation optimization framework for interruptible load management in the smart grid”, Sustainable Cities and Society, Vol. 41, pp. 802-809, 2018. [26] M. Habibian, G. Zakeri, A. Downward, et al., “Co-optimization of demand response and interruptible load reserve offers for a price-making major consumer”, Energy System, Vol. 11, No. 1, pp 45–71, Feb. 2020. [27] A. Conteh, M.E. Lotfy, K.M. Kipngetich, T. Senjyu, P. Mandal, and S. Chakraborty, "An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone," Sustainability, MDPI, Vol. 11, No. 10, pp. 1-19, May 2019. [28] M. Samadi, M. Aghamohamadi, A. Mahmoudi, “Optimal time period clustering of time of use schemes based on elastic loads' responsiveness”, International Transactions on Electrical Energy Systems, First online: November 2019, https://doi.org/10.1002/2050-7038.12275. [29] M.W. Leinmiller, “Total power management for the cement industry,” in Proc. IEEE Cement Industry Technical Conf., pp. 97–107, 2003. [30] M. Zarif, M. H. Javidi, M. S. Ghazizadeh, "Self-scheduling of large consumers with second-orde stochastic dominance constraints", IEEE Trans. Power Syst., Vol. 28, No. 1, pp. 289-299, Feb. 2013. [31] A. Yari, M. Shakarami, F. Namdari, H. Moradi CheshmehBeigi, “Practical approach for planning of reliability-centered maintenance in distribution network with considering economic risk function and load uncertainly” International Journal of Industrial Electronics, Control and Optimization, Vol. 2, No. 4, pp. 319-330, 2019. [32] H. Moradi CheshmehBeigi, A. Mohamadi, “Torque Ripple Minimization in SRM Based on Advanced Torque Sharing Function Modified by Genetic Algorithm Combined with Fuzzy PSO”. International Journal of Industrial Electronics, Control and Optimization, Vol. 1, No. 1, pp. 71-80, 2018. [33] A.M. Bod, “An Analysis of the Cement Industry at the Industry Cement Specialty Roundtable”, 8th International Exhibition, Bank and Insurance, Cement Scientific-Specialized Monthly, (In Persian), July 2014. | ||
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