Power management in the network consisting of renewable resources and electric vehicle using soft open point switches by improved imperialist competitive algorithm

Today, serious concerns about the reduction of greenhouse gas emissions, the need to use clean resources, and government incentive plans have increased the penetration level of using renewable resources and using electric cars. In the meantime, the share of energy produced by solar photovoltaic panels is increasing significantly around the world. However, the expansion of the use of solar panels and electric vehicles on a large-scale causes problems such as voltage imbalance, excessive increase in its range and reverse power distribution, which makes the power quality indicators in the distribution network face serious risks. Methods In this study, the effects of the use of solar panels and the entry of electric vehicles into the distribution network have been evaluated in the percentage of different intrusions for a part of the distribution network in the city of Mashhad in Iran, and then soft open point (SOP) switches have been used to manage power distribution. In order to determine the optimal position of using SOPs, the imperialist competitive algorithm based on chaos has been used by MATLAB software, and DIgSILENT Power Factory software is used to evaluate the amount of violations in the voltage profile of network buses.