Monitoring Design And Power Optimization For Wind Turbine Using Perturb And Observe (P&O) Algorithm Based On Iot
Volume 4 - Issue 5, May 2020 Edition
[Download Full Paper]
Author(s)
Deta Brian Prayogi, Azmi Saleh, Triwahju Hardianto, Deta Brian Prayogi , Azmi Saleh ,Triwahju Hardianto
Keywords
P&O Algorithm, Wind Energy, IoT, PWM.
Abstract
Wind energy is one part of renewable energy in which the utilization is used as an alternative to the supply of electrical energy, especially for hard-to-reach areas. The constraints of the wind energy utilization are the monitoring of the energy produced that has been unmonitored quickly, and the results of power output are not yet stable. Therefore, this study proposes the use of TCP/IP network based on Internet of things and an optimization control of the Perturb & Observe algorithm to get a stable power output. The use of this network aims at monitoring the output parameters of wind power plants with the parameters of the wind blowing speed and electricity generated. Moreover, all the data will be stored in the cloud using the internet network, while for the Perturb & Observe (P&O) algorithm as an optimization, it works by searching for the optimal PWM point value. Thus, the power extracted from wind power plants can be channeled to the load optimally.
References
[1]. Bayu chaniago dan Amir Hamzah, (2018) [Analisa dan Desain Monitoring Pembangkit Listrik Tenaga Angin Dengan Menggunakan Web dan Arduino].Jurnal Jom FTEKNIK Vol.5 Edisi 2.
[2]. Dwi Anugrah Ernadi, Margo Pujiantara dan Mauridhi Heri Purnomo, (2016) [Desain Maksimum Power Point Tracking Untuk Turbin Angin Menggunakan Modified Perturb Observe P&O Berdasarkan Prediksi Kecepatan Angin].Jurnal Teknik ITS Vo. 5 No.2.
[3]. Helmi Cahyo Prasetyo dan Edriansyah, (2018) [Optimalisasi Daya pembangkit Listrik tenaga Angin Menggunakan Maximum Power Point Tracker MPPT Dengan Metode Perturb and Observe]. Jurnal Teknik Elektro Unesa Vol.7 No.2.
[4]. Machmud Effendi, Nur Alif dan Khusnul Hidayat, (2017) [Implemntasi Maximum Power Tracking Pada Photovoltage Berbasis P&O-Fuzzy ]. Jurnal JNTETI Vol. 6 No 1.
[5]. Dimas Juniyanto, Tatyantoro Andrasto dan Suryono, (2018) [Optimalisasi Stand-Alone Photovoltage System Dengan Algoritma P&O-Fuzzy MPPT]. Jurnal Teknik Elektro Unes Vol.10 No 1.
[6]. Barry W William. (2006) [Power Electronics] University of Strathclyde. Glasgow.