Online OPF Using Combined MOGA-ETS to Minimize Losses and Extend Battery Lifetime in Micro-Grid

Primaditya Sulistijono; Adi Soeprijanto; Dedet Candra Riawan

doi:10.1109/ISITIA52817.2021.9502201

Online OPF Using Combined MOGA-ETS to Minimize Losses and Extend Battery Lifetime in Micro-Grid

Primaditya Sulistijono
, Adi Soeprijanto
, Dedet Candra Riawan

Institut Teknologi Sepuluh Nopember

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

Abstract

In this paper, an Optimal Power Flow in Micro-Grid Operation is proposed. It is based on a learning algorithm combining prediction and optimization methods (Multi-objective Genetic Algorithm-Evolving Takagi-Sugeno) for implementing two objective functions i.e. minimizing losses and extending battery lifetime in online condition. This Micro-Grid operates in DC including the interest of redundancy i.e. parallel circuits for supplying loads from photovoltaic panels and batteries. The batteries use two way operations as energy generation and energy storage. It has been tested using PV power generation data and load data in a region. It is also demonstrated the comprehensive comparisons with some other learning algorithms. The results illustrate a higher online performance with optimal solution in many cases with the efficiency are higher than 97%. Moreover, reducing a high amount of CPU-time and large disk space for saving data can be achieved by the proposed approach.

Original language	English
Title of host publication	Proceedings - 2021 International Seminar on Intelligent Technology and Its Application
Subtitle of host publication	Intelligent Systems for the New Normal Era, ISITIA 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	52-57
Number of pages	6
ISBN (Electronic)	9781665428477
DOIs	https://doi.org/10.1109/ISITIA52817.2021.9502201
Publication status	Published - 21 Jul 2021
Event	2021 International Seminar on Intelligent Technology and Its Application, ISITIA 2021 - Virtual, Online Duration: 21 Jul 2021 → 22 Jul 2021

Publication series

Name	Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021

Conference

Conference	2021 International Seminar on Intelligent Technology and Its Application, ISITIA 2021
City	Virtual, Online
Period	21/07/21 → 22/07/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

evolving takagi sugeno
genetic algorithm
micro-grid operation
multiobjective
online learning
optimal power flow

Access to Document

10.1109/ISITIA52817.2021.9502201

Cite this

Sulistijono, P., Soeprijanto, A., & Riawan, D. C. (2021). Online OPF Using Combined MOGA-ETS to Minimize Losses and Extend Battery Lifetime in Micro-Grid. In Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021 (pp. 52-57). (Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA52817.2021.9502201

Sulistijono, Primaditya ; Soeprijanto, Adi ; Riawan, Dedet Candra. / Online OPF Using Combined MOGA-ETS to Minimize Losses and Extend Battery Lifetime in Micro-Grid. Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 52-57 (Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021).

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title = "Online OPF Using Combined MOGA-ETS to Minimize Losses and Extend Battery Lifetime in Micro-Grid",

abstract = "In this paper, an Optimal Power Flow in Micro-Grid Operation is proposed. It is based on a learning algorithm combining prediction and optimization methods (Multi-objective Genetic Algorithm-Evolving Takagi-Sugeno) for implementing two objective functions i.e. minimizing losses and extending battery lifetime in online condition. This Micro-Grid operates in DC including the interest of redundancy i.e. parallel circuits for supplying loads from photovoltaic panels and batteries. The batteries use two way operations as energy generation and energy storage. It has been tested using PV power generation data and load data in a region. It is also demonstrated the comprehensive comparisons with some other learning algorithms. The results illustrate a higher online performance with optimal solution in many cases with the efficiency are higher than 97\%. Moreover, reducing a high amount of CPU-time and large disk space for saving data can be achieved by the proposed approach.",

keywords = "evolving takagi sugeno, genetic algorithm, micro-grid operation, multiobjective, online learning, optimal power flow",

author = "Primaditya Sulistijono and Adi Soeprijanto and Riawan, \{Dedet Candra\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Seminar on Intelligent Technology and Its Application, ISITIA 2021 ; Conference date: 21-07-2021 Through 22-07-2021",

year = "2021",

month = jul,

day = "21",

doi = "10.1109/ISITIA52817.2021.9502201",

language = "English",

series = "Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Sulistijono, P, Soeprijanto, A & Riawan, DC 2021, Online OPF Using Combined MOGA-ETS to Minimize Losses and Extend Battery Lifetime in Micro-Grid. in Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021. Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021, Institute of Electrical and Electronics Engineers Inc., pp. 52-57, 2021 International Seminar on Intelligent Technology and Its Application, ISITIA 2021, Virtual, Online, 21/07/21. https://doi.org/10.1109/ISITIA52817.2021.9502201

Online OPF Using Combined MOGA-ETS to Minimize Losses and Extend Battery Lifetime in Micro-Grid. / Sulistijono, Primaditya; Soeprijanto, Adi ; Riawan, Dedet Candra.
Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 52-57 (Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021).

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

TY - GEN

T1 - Online OPF Using Combined MOGA-ETS to Minimize Losses and Extend Battery Lifetime in Micro-Grid

AU - Sulistijono, Primaditya

AU - Soeprijanto, Adi

AU - Riawan, Dedet Candra

PY - 2021/7/21

Y1 - 2021/7/21

N2 - In this paper, an Optimal Power Flow in Micro-Grid Operation is proposed. It is based on a learning algorithm combining prediction and optimization methods (Multi-objective Genetic Algorithm-Evolving Takagi-Sugeno) for implementing two objective functions i.e. minimizing losses and extending battery lifetime in online condition. This Micro-Grid operates in DC including the interest of redundancy i.e. parallel circuits for supplying loads from photovoltaic panels and batteries. The batteries use two way operations as energy generation and energy storage. It has been tested using PV power generation data and load data in a region. It is also demonstrated the comprehensive comparisons with some other learning algorithms. The results illustrate a higher online performance with optimal solution in many cases with the efficiency are higher than 97%. Moreover, reducing a high amount of CPU-time and large disk space for saving data can be achieved by the proposed approach.

AB - In this paper, an Optimal Power Flow in Micro-Grid Operation is proposed. It is based on a learning algorithm combining prediction and optimization methods (Multi-objective Genetic Algorithm-Evolving Takagi-Sugeno) for implementing two objective functions i.e. minimizing losses and extending battery lifetime in online condition. This Micro-Grid operates in DC including the interest of redundancy i.e. parallel circuits for supplying loads from photovoltaic panels and batteries. The batteries use two way operations as energy generation and energy storage. It has been tested using PV power generation data and load data in a region. It is also demonstrated the comprehensive comparisons with some other learning algorithms. The results illustrate a higher online performance with optimal solution in many cases with the efficiency are higher than 97%. Moreover, reducing a high amount of CPU-time and large disk space for saving data can be achieved by the proposed approach.

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KW - genetic algorithm

KW - micro-grid operation

KW - multiobjective

KW - online learning

KW - optimal power flow

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DO - 10.1109/ISITIA52817.2021.9502201

M3 - Conference contribution

AN - SCOPUS:85114635761

T3 - Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021

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BT - Proceedings - 2021 International Seminar on Intelligent Technology and Its Application

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 21 July 2021 through 22 July 2021

ER -

Sulistijono P, Soeprijanto A , Riawan DC. Online OPF Using Combined MOGA-ETS to Minimize Losses and Extend Battery Lifetime in Micro-Grid. In Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 52-57. (Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021). doi: 10.1109/ISITIA52817.2021.9502201

Online OPF Using Combined MOGA-ETS to Minimize Losses and Extend Battery Lifetime in Micro-Grid

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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