Abstract: The widespread presence of uncontrolled electric vehicles causes overloading of distribution network equipment. One of these equipments is distribution transformer, which should pay attention to overloading and reducing lifetime of this equipment due to charging of electric vehicles. First, strategies have been proposed to investigate the effect of electric vehicle penetration level a...

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From the point of view of network operation, the lack of proper management of electric vehicles in the network can change the load profile of the network and causes numerous peaks and valleys in it, which is not appropriate from the perspective of network operators. In this paper, an intelligent charging strategy in which according to the information recorded by drivers such as the length of th...

In the event of a severe incident with a high impact and low probability of occurrence, distribution networks may be separated from upstream networks and several feeders may be disconnected simultaneously within the distribution networks. In such circumstances, to maximize the resilience of the distribution networks and to prevent long-term global outages, they are reconfigured and islanded to ...

Electricity demand forecasting is one of the most important factors in the planning, design, and operation of competitive electrical systems. However, most of the load forecasting methods are not accurate. Therefore, in order to increase the accuracy of the short-term electrical load forecast, this paper proposes a hybrid method for predicting electric load based on a deep neural network with a...

Due to the growing use of Plug-in Electric vehicles in transportation networks, scheduling the charge/discharge of electric vehicles in parking lots can have great impacts on the distribution network's resiliency. This paper presents a Bi-level optimization model to improve the resiliency of the distribution network that takes into account the interaction between the distribution network island...

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