This paper, explores the connection of a wind farm to the grid through high voltage direct current system on voltage source converter VSC-HVDC. 12 MW wind farm consisting of 6 individual 2 MW permanent magnet synchronous generators is presented. In this paper we proposed a new particle swarm optimization algorithm (PSO) based PI controller in order to optimize the gains of PI controller of VSC-HVDC link, which consequently improve the stability of the link after a strict faults. Different results are obtained to show the efficiency of the proposed PSO algorithm for the conception of optimal controller for a VSC-HVDC link connected to a wind farm. MATLAB/Similink simulations are provided to illustrate the performance of the proposed approach under serious perturbation as single AC fault and DC fault.
This article focuses on the monitoring of a wind farm in real time based on big data collected by Supervisory Control and Data Acquisition (SCADA) system. The decisionmaking of the type of maintenance to be applied can be insured by SCADA system. This system generates alarms based on the collected data. False alarms cause false interventions by the maintenance team resulting in loss of production and costs. The reduction of these false alarms makes it possible to contribute better to the management of the maintenance of the wind farm. In this paper, we propose a new approach for the identification of alarms by Fuzzy Logic based on the data collected by the SCADA system. The alarms generated in this case can be divided into two categories: orange alarms corresponding to faults requiring the intervention of preventive maintenance and red alarms corresponding to critical states that can cause system failures.
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