University of Wisconsin Milwaukee UWM Digital Commons Theses and Dissertations May 2013 Neural Network Based Microgrid Voltage Control Chun-Ju Huang University of Wisconsin-Milwaukee Follow this and additional works at: https://dc.uwm.edu/etd Part of the Electrical and Electronics Commons Recommended Citation Huang, Chun-Ju, "Neural Network Based Microgrid Voltage Control" (2013). Theses and Dissertations. 118. https://dc.uwm.edu/etd/118 This Thesis is brought to you for free and open access by UWM Digital Commons. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of UWM Digital Commons. For more information, please contact
[email protected]. NEURAL NETWORK BASED MICROGRID VOLTAGE CONTROL by Chun-Ju Huang A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in Engineering at The University of Wisconsin-Milwaukee May 2013 ABSTRACT NEURAL NETWORK BASED MICROGRID VOLTAGE CONTROL by Chun-Ju Huang The University of Wisconsin-Milwaukee, 2013 Under the Supervision of Professor David Yu The primary purpose of this study is to improve the voltage profile of Microgrid using the neural network algorithm. Neural networks have been successfully used for character recognition, image compression, and stock market prediction, but there is no directly application related to controlling distributed generations of Microgrid. For this reason the author decided to investigate further applications, with the aim of controlling diesel generator outputs. Firstly, this thesis examines the neural network algorithm that can be utilized for alleviating voltage issues of Microgrid and presents the results. MATLAT and PSCAD are used for training neural network and simulating the Microgrid model respectively.