Ghahramani, M., Nazari Heris, M., zare, K., Mohammadi Ivatloo, B. (2016). Incorporation of Demand Response Programs and Wind Turbines in Optimal Scheduling of Smart Distribution Networks: A Case Study. International Journal of Smart Electrical Engineering, 05(04), 199-206. doi: IJSEE-1705-1043
Mehrdad Ghahramani; Morteza Nazari Heris; Kazem zare; Behnam Mohammadi Ivatloo. "Incorporation of Demand Response Programs and Wind Turbines in Optimal Scheduling of Smart Distribution Networks: A Case Study". International Journal of Smart Electrical Engineering, 05, 04, 2016, 199-206. doi: IJSEE-1705-1043
Ghahramani, M., Nazari Heris, M., zare, K., Mohammadi Ivatloo, B. (2016). 'Incorporation of Demand Response Programs and Wind Turbines in Optimal Scheduling of Smart Distribution Networks: A Case Study', International Journal of Smart Electrical Engineering, 05(04), pp. 199-206. doi: IJSEE-1705-1043
Ghahramani, M., Nazari Heris, M., zare, K., Mohammadi Ivatloo, B. Incorporation of Demand Response Programs and Wind Turbines in Optimal Scheduling of Smart Distribution Networks: A Case Study. International Journal of Smart Electrical Engineering, 2016; 05(04): 199-206. doi: IJSEE-1705-1043
Incorporation of Demand Response Programs and Wind Turbines in Optimal Scheduling of Smart Distribution Networks: A Case Study
1Electrical and computer engineering, University of Tabriz, Tabriz, Iran
2Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
Abstract
Smart distribution networks (SDNs) plays a significant role in future power networks. Accordingly, the optimal scheduling of such networks, which include planning of consumers and production sections, inconsiderably concerned in recent research studies. In this paper, the optimal planning of energy and reserve of SDNs has been studied. Technical constraints of distribution network and power generation units are satisfied in the optimal solution of day-ahead scheduling of the network. The proposed model is studied on a case instance for evaluating the performance and analyzing the optimal solution. A modified IEEE 32-bus test system is considered as test system, in which three wind turbines and four diesel generators are placed. Industrial, residential and commercial consumers can use demand response programs to change electrical energy consuming scheduling. In this paper, incentive based demand response programs are studied for improving the optimal solution. Two demand response providers and two industrial loads are taken into account for employing demand response programs. The obtained optimal solutions are prepared and analyzed, which shows the effectiveness of the proposed model.
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