Approaching hybrid wind-diesel systems and controller area network
ABSTRACT High wind penetration hybrid wind-diesel systems have complex control requirements. The random nature of the wind, the cubic velocity to power relationship and the fast response of wind turbines make control goals like maintain system stability, and prescribed power quality levels, not easy to achieve. This paper deals with how to implement a distributed control system based on the controller area network (CAN) in hybrid wind diesel systems with high wind penetration. Firstly some introduction to hybrid wind-diesel systems is presented. Secondly two architectures for such hybrid systems are presented and studied mainly from the control point of view. This study concludes with a need of a distributed control, and the definition of some sensor and actuator nodes in the system. The CAN bus is used to close one of the several regulation loops presented. Some considerations about real time distributed control like clock synchronization among nodes when using CAN bus are presented. Finally some advantages of using CAN with such hybrid systems are outlined.
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ABSTRACT: Wind-Diesel hybrid power systems are particularly suited for locations where wind resource availability is high and the cost of diesel fuel and generator are reasonable. In this paper, a control technique is designed to adjust the hybrid system performance aiming at minimum fuel consumption and continuous supply of critical loads. The research investigates optimizing the operation of a single diesel engine–single wind turbine hybrid energy generation system. Strategies for reducing fuel consumption are presented. Equations relating fuel consumption with load are derived. Fuzzy Logic-based decision-making framework is implemented for energy management to prevent diesel generator over-sizing, ensure continuous power supply to critical loads, allow optimum utilization of wind energy, and improve system stability. Two case studies are presented, the first represent a day of minimum wind energy and the second represent a day of abundant wind energy.
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ABSTRACT: Due to increasing interest in renewable energy applications, wind energy conversion systems have gained a lot of significance worldwide. Wind generators produce unpredictable output fluctuations which result in variations of the network frequency thereby affecting the power system. This results in a degraded power quality and restricts the penetration of wind energy, especially for microgrid or island network applications. This problem needs to be addressed to ensure the expansion of the wind energy component in the overall world energy mix. This paper addresses the aforementioned problem by the application of an adaptive artificial neural network (ANN) controller for controlling the frequency of an islanded network with a high penetration no storage wind diesel (HPNSWD) system. The proposed controller is validated by computer simulation analysis using MATLAB-Simulink. The effectiveness of the proposed controller is then compared with a PID controller.
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ABSTRACT: This paper presents a new application of fuzzy logic (FL) to an isolated network with a High Penetration, no-storage wind-diesel (HPNSWD) system. As a result of a study referring the behavior of an isolated electric system facing frequency disturbances, a fuzzy logic controller (FLC) was developed to improve the system's dynamic performance. The validity of the proposed controller is evaluated by computer analysis using MATLAB/SIMULINK. The simulation results demonstrated that a small-scale wind turbine generation unit can be freely operated in an isolated distribution network without creating violation in power balance and voltage profile. The effectiveness of the fuzzy logic controller is then compared with that of a proportional-integral-and differential (PID) controller.Electrical Power Quality and Utilisation (EPQU), 2011 11th International Conference on; 01/2011