Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems

André Malheiro; Pedro M. Castro; Ricardo Lima; Ana Estanqueiro

doi:10.1016/j.renene.2015.04.066

Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems

André Malheiro, Pedro M. Castro, Ricardo Lima, Ana Estanqueiro

Computer, Electrical and Mathematical Sciences and Engineering

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

193 Scopus citations

Abstract

In this paper we address the optimal sizing and scheduling of isolated hybrid systems using an optimization framework. The hybrid system features wind and photovoltaic conversion systems, batteries and diesel backup generators to supply electricity demand. A Mixed-Integer Linear Programming formulation is used to model system behavior over a time horizon of one year, considering hourly changes in both the availability of renewable resources and energy demand. The optimal solution is achieved with respect to the minimization of the levelized cost of energy (LCOE) over a lifetime of 20 years. Results for a case study show that the most economical solution features all four postulated subsystems. © 2015 Elsevier Ltd.

Original language	English (US)
Pages (from-to)	646-657
Number of pages	12
Journal	Renewable Energy
Volume	83
DOIs	https://doi.org/10.1016/j.renene.2015.04.066
State	Published - May 22 2015

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment

UN SDGs

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

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10.1016/j.renene.2015.04.066

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title = "Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems",

abstract = "In this paper we address the optimal sizing and scheduling of isolated hybrid systems using an optimization framework. The hybrid system features wind and photovoltaic conversion systems, batteries and diesel backup generators to supply electricity demand. A Mixed-Integer Linear Programming formulation is used to model system behavior over a time horizon of one year, considering hourly changes in both the availability of renewable resources and energy demand. The optimal solution is achieved with respect to the minimization of the levelized cost of energy (LCOE) over a lifetime of 20 years. Results for a case study show that the most economical solution features all four postulated subsystems. {\textcopyright} 2015 Elsevier Ltd.",

author = "Andr{\'e} Malheiro and Castro, {Pedro M.} and Ricardo Lima and Ana Estanqueiro",

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doi = "10.1016/j.renene.2015.04.066",

language = "English (US)",

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T1 - Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems

AU - Malheiro, André

AU - Castro, Pedro M.

AU - Lima, Ricardo

AU - Estanqueiro, Ana

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2015/5/22

Y1 - 2015/5/22

N2 - In this paper we address the optimal sizing and scheduling of isolated hybrid systems using an optimization framework. The hybrid system features wind and photovoltaic conversion systems, batteries and diesel backup generators to supply electricity demand. A Mixed-Integer Linear Programming formulation is used to model system behavior over a time horizon of one year, considering hourly changes in both the availability of renewable resources and energy demand. The optimal solution is achieved with respect to the minimization of the levelized cost of energy (LCOE) over a lifetime of 20 years. Results for a case study show that the most economical solution features all four postulated subsystems. © 2015 Elsevier Ltd.

AB - In this paper we address the optimal sizing and scheduling of isolated hybrid systems using an optimization framework. The hybrid system features wind and photovoltaic conversion systems, batteries and diesel backup generators to supply electricity demand. A Mixed-Integer Linear Programming formulation is used to model system behavior over a time horizon of one year, considering hourly changes in both the availability of renewable resources and energy demand. The optimal solution is achieved with respect to the minimization of the levelized cost of energy (LCOE) over a lifetime of 20 years. Results for a case study show that the most economical solution features all four postulated subsystems. © 2015 Elsevier Ltd.

UR - http://hdl.handle.net/10754/564202

UR - https://linkinghub.elsevier.com/retrieve/pii/S0960148115003559

UR - http://www.scopus.com/inward/record.url?scp=84929572943&partnerID=8YFLogxK

U2 - 10.1016/j.renene.2015.04.066

DO - 10.1016/j.renene.2015.04.066

M3 - Article

SN - 0960-1481

VL - 83

SP - 646

EP - 657

JO - Renewable Energy

JF - Renewable Energy

ER -

Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems

Abstract

Bibliographical note

ASJC Scopus subject areas

UN SDGs

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