An Improved P&O Algorithm for Single-Stage Grid-Connected Photovoltaic System under Rapidly Changing Environment Conditions

A. A.B. Kusuma; M. D.E. Hakim; G. Alvianingsih; D. R. Aryani; A. R. Utomo

doi:10.1088/1755-1315/353/1/012016

An Improved P&O Algorithm for Single-Stage Grid-Connected Photovoltaic System under Rapidly Changing Environment Conditions

A. A.B. Kusuma, M. D.E. Hakim, G. Alvianingsih, D. R. Aryani, A. R. Utomo

Research output: Contribution to journal › Conference article › peer-review

Abstract

In producing its power, Photovoltaic (PV) performance is influenced by environmental factors, such as solar irradiance and temperature. System stability is needed to maintain safe operation of the system. This paper presents a Maximum Power Point Tracking (MPPT) control model of PV array to improve system reliability and the performance of MPPT. The main parameters in Matlab/Simulink simulation that become the highlight influences are the changes in solar irradiance from 500W/m² to 1000W/m² and ambient temperatures from 25°C to 50°C. With the control algorithm that has been made in the Perturb and Observe (P&O) method, it obtains the optimal voltage control point in each PV conditions in a power system. System simulation shows that the voltage stability was maintained above 510 Volt in various conditions of solar irradiance and temperature. The results of the control scheme show the stability of the system and the optimal performance of PV.

Original language	English
Article number	012016
Journal	IOP Conference Series: Earth and Environmental Science
Volume	353
Issue number	1
DOIs	https://doi.org/10.1088/1755-1315/353/1/012016
Publication status	Published - 31 Oct 2019
Event	1st International Conference on Green Energy and Environment 2019, ICOGEE 2019 - Pangkal Pinang, Bangka Belitung, Indonesia Duration: 3 Sept 2019 → 4 Sept 2019

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10.1088/1755-1315/353/1/012016

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title = "An Improved P&O Algorithm for Single-Stage Grid-Connected Photovoltaic System under Rapidly Changing Environment Conditions",

abstract = "In producing its power, Photovoltaic (PV) performance is influenced by environmental factors, such as solar irradiance and temperature. System stability is needed to maintain safe operation of the system. This paper presents a Maximum Power Point Tracking (MPPT) control model of PV array to improve system reliability and the performance of MPPT. The main parameters in Matlab/Simulink simulation that become the highlight influences are the changes in solar irradiance from 500W/m2 to 1000W/m2 and ambient temperatures from 25°C to 50°C. With the control algorithm that has been made in the Perturb and Observe (P&O) method, it obtains the optimal voltage control point in each PV conditions in a power system. System simulation shows that the voltage stability was maintained above 510 Volt in various conditions of solar irradiance and temperature. The results of the control scheme show the stability of the system and the optimal performance of PV.",

author = "Kusuma, {A. A.B.} and Hakim, {M. D.E.} and G. Alvianingsih and Aryani, {D. R.} and Utomo, {A. R.}",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 1st International Conference on Green Energy and Environment 2019, ICOGEE 2019 ; Conference date: 03-09-2019 Through 04-09-2019",

year = "2019",

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T1 - An Improved P&O Algorithm for Single-Stage Grid-Connected Photovoltaic System under Rapidly Changing Environment Conditions

AU - Kusuma, A. A.B.

AU - Hakim, M. D.E.

AU - Alvianingsih, G.

AU - Aryani, D. R.

AU - Utomo, A. R.

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2019/10/31

Y1 - 2019/10/31

N2 - In producing its power, Photovoltaic (PV) performance is influenced by environmental factors, such as solar irradiance and temperature. System stability is needed to maintain safe operation of the system. This paper presents a Maximum Power Point Tracking (MPPT) control model of PV array to improve system reliability and the performance of MPPT. The main parameters in Matlab/Simulink simulation that become the highlight influences are the changes in solar irradiance from 500W/m2 to 1000W/m2 and ambient temperatures from 25°C to 50°C. With the control algorithm that has been made in the Perturb and Observe (P&O) method, it obtains the optimal voltage control point in each PV conditions in a power system. System simulation shows that the voltage stability was maintained above 510 Volt in various conditions of solar irradiance and temperature. The results of the control scheme show the stability of the system and the optimal performance of PV.

AB - In producing its power, Photovoltaic (PV) performance is influenced by environmental factors, such as solar irradiance and temperature. System stability is needed to maintain safe operation of the system. This paper presents a Maximum Power Point Tracking (MPPT) control model of PV array to improve system reliability and the performance of MPPT. The main parameters in Matlab/Simulink simulation that become the highlight influences are the changes in solar irradiance from 500W/m2 to 1000W/m2 and ambient temperatures from 25°C to 50°C. With the control algorithm that has been made in the Perturb and Observe (P&O) method, it obtains the optimal voltage control point in each PV conditions in a power system. System simulation shows that the voltage stability was maintained above 510 Volt in various conditions of solar irradiance and temperature. The results of the control scheme show the stability of the system and the optimal performance of PV.

UR - http://www.scopus.com/inward/record.url?scp=85076699922&partnerID=8YFLogxK

U2 - 10.1088/1755-1315/353/1/012016

DO - 10.1088/1755-1315/353/1/012016

M3 - Conference article

AN - SCOPUS:85076699922

SN - 1755-1307

VL - 353

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

IS - 1

M1 - 012016

T2 - 1st International Conference on Green Energy and Environment 2019, ICOGEE 2019

Y2 - 3 September 2019 through 4 September 2019

ER -

An Improved P&O Algorithm for Single-Stage Grid-Connected Photovoltaic System under Rapidly Changing Environment Conditions

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