A large contribution to the total share of electricity generated in European power grid will come from renewable sources of energy soon due to European initiative to become carbon neutral. Renewable Energy Sources (RES) are connected to the grid with Power Electronic (PE) devices, which, if not modelled correctly, provide low confidence in the assessment of the overall system stability. The aim of the paper is twofold; firstly, to evaluate the impacts of Wide Area Monitoring System (WAMS) on grid-forming control with Direct Voltage Control (DVC) and Virtual Synchronous Machine (VSM). Secondly, to perform Modal / Eigenvalue analysis to evaluate the effect of WAMS on selective damping. Modal analysis will be conducted and will serve as a base for calculating matrices B and C. Left and right eigenvectors will enable determination of Controllability and Observability Indices. Damping controller is designed to receive three signals from Phasor Measurement Units (PMUs) and feed the reference signal to the high impact generator. System studied is a modified IEEE 39 New England Bus with two synchronous generators and eight RES. Activation of the damping controllers showed significant improvements in time-domain simulations on overall damping and Eigenvalue confirmed the results by studying the damping ratios of critical modes.

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With the enforcement of governmental regulations and incentives, the share of electric vehicles (EVs) in the mobility sector is on the rise, impacting significantly the grid and its operation. This paper aims to investigate and find solutions to mitigate the impacts of EV charging on Dutch residential grids, namely the impacts of voltage magnitude regulation and distribution transformer loading. This paper proposes a decentralized coordinated charging strategy with local voltage control at its essence. The proposed charging strategy effectively allocates the charging power by prioritizing users based on their current State-of-Charge (SOC) and/or Time of Departure (ToD), or the current loading on the distribution transformer. These parameters are communicated to the charge controller through an Internet-of-Things (IoT) platform. The proposed charging strategy was simulated on a real Dutch residential grid that serves 86 household users, assuming every household has its own controllable EV charger. Based on the obtained results, the proposed charging strategy has eliminated all voltage magnitude violations, reduced the loading on the distribution transformer, while also achieving a SOC that is 2.5% less than that of the uncontrolled charging strategy.@en