Nearest Neighbor MPPT with Cross-Entropy Method optimization

Ram Machlev; Yoash Levron

doi:10.1109/ICSEE.2018.8646091

Nearest Neighbor MPPT with Cross-Entropy Method optimization

Ram Machlev, Yoash Levron

Technion - Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Maximum power point tracking (MPPT) techniques are being used to improve the efficiency of photovoltaic (PV) systems. In this paper, a Nearest Neighbor(NN)-based MPPT with Cross-Entropy (CE) Method optimization algorithm is proposed. The proposed method is system-independent, accurate and easy to implement.The performance of the algorithm is validate in simulation using profile of different irradiances.

Original language	English
Title of host publication	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
ISBN (Electronic)	9781538663783
DOIs	https://doi.org/10.1109/ICSEE.2018.8646091
State	Published - 2 Jul 2018
Event	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 - Eilat, Israel Duration: 12 Dec 2018 → 14 Dec 2018

Publication series

Name	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

Conference

Conference	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Country/Territory	Israel
City	Eilat
Period	12/12/18 → 14/12/18

Keywords

Cross-Entropy (CE) Method
Maximum power point tracking (MPPT)
Nearest Neighbor (NN)
photovoltaic (PV)

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICSEE.2018.8646091

Cite this

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title = "Nearest Neighbor MPPT with Cross-Entropy Method optimization",

abstract = "Maximum power point tracking (MPPT) techniques are being used to improve the efficiency of photovoltaic (PV) systems. In this paper, a Nearest Neighbor(NN)-based MPPT with Cross-Entropy (CE) Method optimization algorithm is proposed. The proposed method is system-independent, accurate and easy to implement.The performance of the algorithm is validate in simulation using profile of different irradiances.",

keywords = "Cross-Entropy (CE) Method, Maximum power point tracking (MPPT), Nearest Neighbor (NN), photovoltaic (PV)",

author = "Ram Machlev and Yoash Levron",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 ; Conference date: 12-12-2018 Through 14-12-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/ICSEE.2018.8646091",

language = "الإنجليزيّة",

series = "2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018",

booktitle = "2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018",

}

Machlev, R & Levron, Y 2018, Nearest Neighbor MPPT with Cross-Entropy Method optimization. in 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018., 8646091, 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018, 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018, Eilat, Israel, 12/12/18. https://doi.org/10.1109/ICSEE.2018.8646091

Nearest Neighbor MPPT with Cross-Entropy Method optimization. / Machlev, Ram; Levron, Yoash.
2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018. 2018. 8646091 (2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Nearest Neighbor MPPT with Cross-Entropy Method optimization

AU - Machlev, Ram

AU - Levron, Yoash

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Maximum power point tracking (MPPT) techniques are being used to improve the efficiency of photovoltaic (PV) systems. In this paper, a Nearest Neighbor(NN)-based MPPT with Cross-Entropy (CE) Method optimization algorithm is proposed. The proposed method is system-independent, accurate and easy to implement.The performance of the algorithm is validate in simulation using profile of different irradiances.

AB - Maximum power point tracking (MPPT) techniques are being used to improve the efficiency of photovoltaic (PV) systems. In this paper, a Nearest Neighbor(NN)-based MPPT with Cross-Entropy (CE) Method optimization algorithm is proposed. The proposed method is system-independent, accurate and easy to implement.The performance of the algorithm is validate in simulation using profile of different irradiances.

KW - Cross-Entropy (CE) Method

KW - Maximum power point tracking (MPPT)

KW - Nearest Neighbor (NN)

KW - photovoltaic (PV)

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U2 - 10.1109/ICSEE.2018.8646091

DO - 10.1109/ICSEE.2018.8646091

M3 - منشور من مؤتمر

T3 - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

BT - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

T2 - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

Y2 - 12 December 2018 through 14 December 2018

ER -

Nearest Neighbor MPPT with Cross-Entropy Method optimization

Abstract

Publication series

Conference

Keywords

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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