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Erschienen in:
Position Control of Pneumatic Actuator Using Cascade Fuzzy Self-adaptive PID Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Direct Power Control Method of Maximum Power Point Tracking (MPPT) Algorithm for Pico-Hydrokinetic River Energy Conversion System

verfasst von : W. I. Ibrahim, M. R. Mohamed, R. M. T. R. Ismail

Erschienen in: InECCE2019

Verlag: Springer Singapore

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Abstract

In this paper, a design of maximum power point tracking (MPPT) algorithm for the pico-hydrokinetic system in river application has been proposed. The design topology consists of the permanent magnet synchronous generator (PMSG), a three-phase bridge rectifier and a DC boost converter. The proposed MPPT algorithm is a combination of modified hill-climbing search algorithm (MHCS) with the current PI-controller. The MPPT concept is based on measuring the rectifier output voltage and current respectively to produce the reference current (IMPP). The PI-controller has been used to tune the error signal between IMPP and actual inductance current (Idc) to provide the duty-cycle of the boost converter. A comparison is performed between the fixed step HCS and the proposed MPPT to investigate the performance of the algorithm. The results show the proposed algorithm able to harness the maximum power with 96.32% efficiency.

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Vorheriges Kapitel Development of PV Module Power Degradation Analyzer
Nächstes Kapitel Load Estimation of Single-Phase Diode Bridge Rectifier Using Kalman Filter
Literatur
1.
Yazici İ, Yaylaci EK (2017) Maximum power point tracking for the permanent magnet synchronous generator-based WECS by using the discrete-time integral sliding mode controller with a chattering-free reaching law. IET Power Electron 1751–1758
2.
Alvarez Alvarez E, Rico-Secades M, Corominas EL, Huerta-Medina N, Soler Guitart J (2018) Design and control strategies for a modular hydroKinetic smart grid. Int J Electr Power Energy Syst 95:137–145
3.
Yuce MI, Muratoglu A (2015) Hydrokinetic energy conversion systems: a technology status review. Renew Sustain Energy Rev 43:72–82CrossRef
4.
Koko SP, Kusakana K, Vermaak HJ (2017) Optimal energy management of a grid-connected micro-hydrokinetic with pumped hydro storage system. J Energy Storage 14:8–15CrossRef
5.
Kumar D, Chatterjee K (2016) A review of conventional and advanced MPPT algorithms for wind energy systems. Renew Sustain Energy Rev 55:957–970CrossRef
6.
Ganjefar S, Ghassemi AA, Ahmadi MM (2014) Improving efficiency of two-type maximum power point tracking methods of tip-speed ratio and optimum torque in wind turbine system using a quantum neural network. Energy 67:444–453CrossRef
7.
Dalala ZM, Zahid ZU, Yu W, Cho Y, Lai JS (2013) Design and analysis of an MPPT technique for small-scale wind energy conversion systems. IEEE Trans Energy Convers 28(3):756–767CrossRef
8.
Raza Kazmi SM, Goto H, Guo HJ, Ichinokura O (2011) A novel algorithm for fast and efficient speed-sensorless maximum power point tracking in wind energy conversion systems. Ind Electron IEEE Trans 58(1):29–36
9.
Mousa HHH, Youssef A, Mohamed EEM (2019) Electrical power and energy systems variable step size P & O MPPT algorithm for optimal power extraction of multi-phase PMSG based wind generation system. Electr Power Energy Syst 108(2018):218–231
10.
Hong CM, Chen CH, Tu CS (2013) Maximum power point tracking-based control algorithm for PMSG wind generation system without mechanical sensors. Energy Convers Manag 69:58–67CrossRef
11.
Abdullah MA, Al-Hadhrami T, Tan CW, Yatim AHM (2018) Towards green energy for smart cities: particle swarm optimization based MPPT approach. IEEE Access 6:1–1
12.
Kumar K, Babu RN, Prabhu KR (2017) Design and analysis of RBFN-based single MPPT controller for hybrid solar and wind energy system. IEEE Access 5:15308–15317CrossRef
13.
Li S, Wang H, Tian Y, Aitouche A (2015) A RBF neural network based MPPT method for variable speed wind turbine system. IFAC-PapersOnLine 28(21):244–250CrossRef
14.
Messalti S, Harrag A, Loukriz A (2017) A new variable step size neural networks MPPT controller: review, simulation and hardware implementation. Renew Sustain Energy Rev 68(2015):221–233
15.
Tiwari R, Babu NR (2016) Fuzzy logic based MPPT for permanent magnet synchronous generator in wind energy conversion system. Int Fed Autom Control 49(1):462–467
16.
Xia Y, Ahmed KH, Williams BW (2011) A new maximum power point tracking technique for permanent magnet synchronous generator based wind energy conversion system. IEEE Trans Power Electron 26(12):3609–3620CrossRef
17.
Hussain J (2016) Adaptive maximum power point tracking control algorithm for wind energy conversion systems. IEEE Trans Energy Convers 31(2):697–705
18.
Licari J, Zammit D, Staines CS, Micallef A, Maurice A (2017) Incremental current based MPPT for a PMSG micro wind turbine in a grid-connected DC microgrid. Energy Procedia 142:2284–2294
19.
Abdullah MA, Yatim AHM, Tan CW, Saidur R (2012) A review of maximum power point tracking algorithms for wind energy systems. Renew Sustain Energy Rev 16(5):3220–3227CrossRef
Metadaten
Titel
Direct Power Control Method of Maximum Power Point Tracking (MPPT) Algorithm for Pico-Hydrokinetic River Energy Conversion System
verfasst von
W. I. Ibrahim
M. R. Mohamed
R. M. T. R. Ismail
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
InECCE2019

Print ISBN: 978-981-15-2316-8

Electronic ISBN: 978-981-15-2317-5

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-2317-5_58