TY - JOUR ID - 66860 TI - Energy Management of Electric Vehicles Parking in a Power Distribution Network Using Robust Optimization Method JO - Journal of Energy Management and Technology JA - JEMT LA - en SN - AU - Ghahramani, Mehrdad AU - Nazari-Heris, Morteza AU - Zare, Kazem AU - Mohammadi-Ivatloo, Behnam AD - Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran AD - Faculty of Electrical and Computer Engineering, University of Tabriz Y1 - 2018 PY - 2018 VL - 2 IS - 3 SP - 22 EP - 30 KW - Distribution network KW - robust optimization KW - Uncertainty KW - Wind Turbine KW - electric vehicles DO - 10.22109/jemt.2018.133242.1094 N2 - Optimal, safe and robust scheduling and planning of electric energy distribution networks are very important considering such networks as one of the most important components of electrical networks. Electric vehicles are one of the major features of the future electricity distribution networks. In this paper, an optimal robust model is proposed for short-term scheduling of distribution network in the presence of uncertainties to minimize the cost of network operation. The robust optimization (RO) method is applied in this research to address the uncertainty associated with power market price. To investigate the proposed method, a 33-bus IEEE-standard system has been applied, which contains distributed renewable generation units and non-renewable energy sources. The obtained results indicate the effectiveness of the proposed method in network scheduling in the presence of uncertainties. Also, the impact of electric vehicle parking as an energy storage system on the functional cost of the distribution network is discussed, which defines the practicality and high performance of the proposed model on scheduling of electric distribution networks. UR - https://www.jemat.org/article_66860.html L1 - https://www.jemat.org/article_66860_71e6448dde32cfdae98cf9b5c3c74960.pdf ER -