Abstract
Wind power has progressed nowadays because the proliferation of wind parks and their operation in supplying the national electric grid with low cost and clean resources. Hence, there is an increased need to establish a proactive maintenance for wind turbine machines based on remote control and monitoring which rely heavily on the timely delivery of safety real-time data for offshore or inaccessible locations through a wireless connection while the wired method has many flaws. The objective of this strategy is to prolong wind turbine lifetime and to increase productivity. The hardware of a remote control and monitoring system for wind turbines Park is designed by taking advantage of GPRS or Wi-Max wireless module to collect data measurements from different wind machines sensors through IP based multi-hop communication. Computer simulations with Proteus ISIS and OPNET tools have been conducted to evaluate the performance of the studied system. Study findings show that the designed device achieves a satisfactory performances and it is suitable for application in a wind park.
Highlights
In front of the huge increase demand in energy over the world, and in order to search a substitutional kind of energy against the prices growth of the energy fossil fuels resources and it exhaustion reserves in the long term, the commitment of the governments to reduce greenhouse gases emissions have favoured the research of others energy sources, the recourse to renewable energy becomes a societal choice
The system described in the previous section for wind park controlling and monitoring has been implemented and simulated based on a realistic task by the OPNET Modeler 14.5 an Proteus ISIS via virtual serial connection ports under two scenarios and carried out the simulation to evaluate and to compare the performance of the IESCRM system in term of real time data traffic for two different network technologies
The scenarios developed in OPNET for Wi-Max and GPRS over UMTS are shown in figure 9 and 10 and the system parameters for both networks are detailed in table 2 and 3
Summary
In front of the huge increase demand in energy over the world, and in order to search a substitutional kind of energy against the prices growth of the energy fossil fuels resources and it exhaustion reserves in the long term, the commitment of the governments to reduce greenhouse gases emissions have favoured the research of others energy sources, the recourse to renewable energy becomes a societal choice. Wind turbines contain a complex electromecanical system which is prone to defects Their monitoring and diagnosis become essential to reduce maintenance costs and ensure continuity of production because stopping a wind installation for unexpected failures could lead to expensive repair and to lost production [2]. There is an increase need to implement a robust efficient remote maintenance strategy to ensure uninterrupted power in the modern wind systems [3] This on line surveillance allow an early detection of mechanical and electrical faults preventing major component failures, facilitating a proactive response, anticipating the final shutdown of wind generators, minimizing downtime and maximizing productivity by analysis of measured physical signals continuously collected from different types of sensors [4], [5], [6]. The main object of this paper is to study the design of a real time monitoring and controlling system for condition supervision of wind generator machines which integrates intelligence and robustness functions
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