Sasan Pirouzi

TL;DR: Capacity of the method in extracting a robust IHS for sources and ESSs are validated depending on optimal economic and environmental conditions, and the scheme obtains a robust structure for the IHS.

TL;DR: A robust framework for active and reactive power management in distribution networks using electric vehicles (EVs) is presented, which simultaneously minimizes the energy cost and the voltage deviation subject to network and EVs constraints.

TL;DR: In this article, a robust bundled active and reactive power management of EVs integrated smart distribution networks is developed, which minimizes the difference between the energy cost and the revenue of EVs' reactive power exchange with the network as the objective function, subject to the AC power flow equations, system operation limits and EVs' characteristics as the problem constraints.

TL;DR: The flexibility and reliability of the optimal resource expansion planning are ensured by means of appropriate constraints incorporated into the proposed planning tool where thermal generation units, ES systems, and DR programs are considered as flexibility resources.

TL;DR: To model the uncertain parameters in the proposed problem including forecasted active and reactive loads, energy and charging/discharging prices and the output power of vRES, the bounded uncertainty-based robust optimization (BURO) framework is proposed in the next step.