1,721,110 research outputs found

    Indices-based Voltage Stability Monitoring of the Italian HV Transmission System

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    In liberalized electricity markets the need for an increasingly flexible and economic exploitation of the grid determines more and more stressed operating conditions. The on-line assessment of system security becomes a topic of paramount importance in control centers. In this context fast indices to quickly assess system security represent a valuable support for Transmission System Operators (TSOs). This paper presents the application of some (both node-oriented and line-oriented) indicators for the on-line voltage stability monitoring in the Italian HV transmission system. The implemented analysis tool is based on a procedure written in MATLAB which both retrieves the transients of the variables of interest from a time-domain simulator and composes these variables to calculate the monitoring indices. The combination of the information derived from the utilization of these indices allows to improve operators’ situational awareness concerning voltage stability issues. A dynamic model of the Italian HV transmission grid is presented and some simulation results concerning the indices application are illustrated and commented

    Indices for fast contingency ranking in large electric power systems

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    The liberalization of the electricity market induces a large variety of scenarios that may lead power systems close to their operation limits. This supports the need for on–line dynamic security assessment (DSA) of the grids, in order to provide operators with a clear insight of the current network state. The on–line application of DSA to a realistic network needs adequate methods to screen the large amount of contingencies to be examined by DSA tools. This paper proposes some practical heuristic indices for Transient Stability contingency pre–filtering and ranking in an on–line DSA session

    Optimal Charging Strategy Algorithm for PEVs: a Monte Carlo Validation

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    This paper proposes the validation of an optimal charging strategy for plug-in electric vehicles (PEVs). The algorithm is composed of two phases and is intended to be used by Distribution System Operator (DSO) to properly manage the network. The effectiveness of the optimization algorithm, described in a previous work, is tested through Monte Carlo simulations. The proposed algorithm has evaluated and compared with a dumb charging strategy. The low voltage CIGRE benchmark grid for 5 years was simulated considering 300 PEVs. In addition, a different set of Monte Carlo simulations was run with random—though reasonable—load profiles in order to test the robustness of the algorithm. The traditional and newly proposed power-system-related indices were calculated for all of the simulation sets

    A Two-Stage Margin-Based Algorithm for Optimal Plug-in Electric Vehicles Scheduling

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    This paper proposes an optimal charging strategy for plug-in electric vehicles (PEVs) to be used in electric distribution networks. The optimization algorithm is made up of two phases: 1) an optimal power flow calculation; and 2) a linear optimization. The former, while taking into account the power system technical constraints, sets the upper bounds to the recharge power for each vehicle and the latter defines the recharge profiles of each PEV. In order to test the effectiveness of the optimization algorithm, a case study was set up. The connection of 300 PEVs to the Conseil International des Grands Réseaux Électriques (CIGRÉ) European low voltage benchmark network has been simulated. The proposed algorithm has been compared with a nonoptimal charging strategy, which assigns a flat charging profile by dividing the energy requested by the desired recharge time. The results show that the optimization algorithm both complies with the energy requests set by the end users and with the technical operation limits of the network. This allows for PEVs to provide a basic—although of paramount importance—service to the grid: the smart charge
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