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Chen, C.H., Hong, C.-M. and Cheng, F.-S. (2012) Intelligent Speed Sensor less Maximum Power Point Tracking Control for Wind Generation System. Electrical Power and Energy Systems, 42, 399-407.
http://dx.doi.org/10.1016/j.ijepes.2012.04.019

has been cited by the following article:

  • TITLE: Hybrid Voltage Control Model for Hybrid Renewable Energy System Using Artificial Bees Colony Algorithm

    AUTHORS: Mahendran Krishnamoorthy, Prabha Umapathy

    KEYWORDS: HES, ABC, PI, SE, Voltage

    JOURNAL NAME: Circuits and Systems, Vol.7 No.9, July 29, 2016

    ABSTRACT: This paper proposed a hybrid control model-based voltage control of Hybrid Energy System (HES) that includes both solar and wind energy conversion systems. The proposed hybrid voltage control model is the combination process of both the Artificial Bees Colony algorithm (ABC) and Proportional Integral controller (PI). The novelty of the proposed method is intelligent foraging behavior of honey bee swarm, which provides random reduction and ability to adapt complex optimization problems. Here, the ABC optimizes the gain parameters under various operating conditions using the minimized Square Error (SE). It considers the actual voltage outcome of the buck converter and the set point voltage. By using the optimized gain parameters, the PI controller is operated. Each separate energy conversion system is controlled by the separate proposed hybrid voltage control model. The proposed method is implemented in MATLAB/Simulink platform and the performance is verified using the comparative analysis with the existing techniques. The comparison results prove the superiority of the proposed method.