Conference Paper

Approaching hybrid wind-diesel systems and controller area network

Electr. & Comput. Eng. Dept., Univ. Nacional de Educacion a Distancia, Madrid, Spain
DOI: 10.1109/IECON.2002.1185331 Conference: IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the], Volume: 3
Source: IEEE Xplore

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.

0 Bookmarks
 · 
99 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: The design of the real-time state supervisory system based on the CAN (controller area network) bus for wind power plants is presented, including the network structure of the whole system, the design of hardware and software. The supervisory system has four layers, namely, the data acquisition layer, the data processing layer, the data transport layer and the user layer. The electricity data that are processed by the industrial computers are transmitted by the CAN bus to top-layer computer to be managed and displayed. This system has been put into operation in a wind power plant in Guangdong and achieved favorable effects.
    Industrial Electronics, 2006 IEEE International Symposium on; 08/2006
  • Source
    [Show abstract] [Hide abstract]
    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.
    International Review of Automatic Control. 03/2012; 5(2):179-186.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Hybrid wind systems couple wind turbines with storage and/or other generation technologies to maximize wind energy production while meeting operational requirements in terms of frequency control, regulation, load following, and scheduling. To increase fuel savings and emission reductions, a hierarchical control structure is proposed in this paper that combines supervisory control and component local control. In supervisory control, unit commitment and power dispatch are optimized and communicated to component local controllers. Frequency/voltage droop (P/Q droop) functions are developed for battery banks and diesel units to regulate system frequency and voltage. PSCAD simulation results indicate that the proposed hierarchical control strategy enables high wind penetration without compromising system performance.
    North American Power Symposium (NAPS), 2009; 11/2009