Optimal design of wind-PV-diesel-battery system using genetic algorithm

Heri Suryoatmojo; Takashi Hiyama; Adel A. Elbaset; Mochamad Ashari

doi:10.1541/ieejpes.129.413

Optimal design of wind-PV-diesel-battery system using genetic algorithm

Heri Suryoatmojo^*, Takashi Hiyama, Adel A. Elbaset, Mochamad Ashari

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

42 Citations (Scopus)

Abstract

Application of diesel generators to supply the load demand on isolated islands in Indonesia has widely spread. With increases in oil price and the concerns about global warming, the integration of diesel generators with renewable energy systems have become an attractive energy sources for supplying the load demand. This paper performs an optimal design of integrated system involving Wind-PV-Diesel-Battery system for isolated island with CO ₂ emission evaluation by using genetic algorithm. The proposed system has been designed for the hybrid power generation in East Nusa Tenggara, Indonesia-latitude 09.30S, longitude 122.0E. From simulation results, the proposed system is able to minimize the total annual cost of the system under study and reduce CO ₂ emission generated by diesel generators.

Original language	English
Pages (from-to)	413-420+2
Journal	IEEJ Transactions on Power and Energy
Volume	129
Issue number	3
DOIs	https://doi.org/10.1541/ieejpes.129.413
Publication status	Published - 2009

Keywords

CO emission
Diesel generators
Genetic algorithm
Optimal design
Renewable energy

UN SDGs

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

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10.1541/ieejpes.129.413

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title = "Optimal design of wind-PV-diesel-battery system using genetic algorithm",

abstract = "Application of diesel generators to supply the load demand on isolated islands in Indonesia has widely spread. With increases in oil price and the concerns about global warming, the integration of diesel generators with renewable energy systems have become an attractive energy sources for supplying the load demand. This paper performs an optimal design of integrated system involving Wind-PV-Diesel-Battery system for isolated island with CO 2 emission evaluation by using genetic algorithm. The proposed system has been designed for the hybrid power generation in East Nusa Tenggara, Indonesia-latitude 09.30S, longitude 122.0E. From simulation results, the proposed system is able to minimize the total annual cost of the system under study and reduce CO 2 emission generated by diesel generators.",

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AU - Suryoatmojo, Heri

AU - Hiyama, Takashi

AU - Elbaset, Adel A.

AU - Ashari, Mochamad

PY - 2009

Y1 - 2009

N2 - Application of diesel generators to supply the load demand on isolated islands in Indonesia has widely spread. With increases in oil price and the concerns about global warming, the integration of diesel generators with renewable energy systems have become an attractive energy sources for supplying the load demand. This paper performs an optimal design of integrated system involving Wind-PV-Diesel-Battery system for isolated island with CO 2 emission evaluation by using genetic algorithm. The proposed system has been designed for the hybrid power generation in East Nusa Tenggara, Indonesia-latitude 09.30S, longitude 122.0E. From simulation results, the proposed system is able to minimize the total annual cost of the system under study and reduce CO 2 emission generated by diesel generators.

AB - Application of diesel generators to supply the load demand on isolated islands in Indonesia has widely spread. With increases in oil price and the concerns about global warming, the integration of diesel generators with renewable energy systems have become an attractive energy sources for supplying the load demand. This paper performs an optimal design of integrated system involving Wind-PV-Diesel-Battery system for isolated island with CO 2 emission evaluation by using genetic algorithm. The proposed system has been designed for the hybrid power generation in East Nusa Tenggara, Indonesia-latitude 09.30S, longitude 122.0E. From simulation results, the proposed system is able to minimize the total annual cost of the system under study and reduce CO 2 emission generated by diesel generators.

KW - CO emission

KW - Diesel generators

KW - Genetic algorithm

KW - Optimal design

KW - Renewable energy

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DO - 10.1541/ieejpes.129.413

M3 - Article

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JO - IEEJ Transactions on Power and Energy

JF - IEEJ Transactions on Power and Energy

IS - 3

ER -

Optimal design of wind-PV-diesel-battery system using genetic algorithm

Abstract

Keywords

UN SDGs

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