Energy management for a grid-tied photovoltaic-wind-storage system - Part II: Operation strategy

Ala A. Hussein; Issa Batarseh

doi:10.1109/PESMG.2013.6672414

Energy management for a grid-tied photovoltaic-wind-storage system - Part II: Operation strategy

Ala A. Hussein
, Issa Batarseh

Department of Electrical and Communication Engineering

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

6 Citations (Scopus)

Abstract

Renewable energy has unique characteristics such as it is sustainable, clean and free. However, renewable generation systems have two major limitations: they are strongly dependent on the weather conditions; and they have unsynchronized generation peaks with the demand peaks, in general. In a series of two papers, an energy management strategy for a distributed photovoltaic (PV)-wind-storage system is proposed. This second paper proposes a strategy to control the operation of the energy storage to overcome the limitations of renewable sources and forecasting models uncertainty. The proposed operation strategy is advantageous in terms of it allows a highly efficient and profitable operation of the system especially in an electricity spot market. Simulation results that shows the effectiveness of the proposed control strategy are provided.

Original language	English
Title of host publication	2013 IEEE Power and Energy Society General Meeting, PES 2013
DOIs	https://doi.org/10.1109/PESMG.2013.6672414
Publication status	Published - 2013
Event	2013 IEEE Power and Energy Society General Meeting, PES 2013 - Vancouver, BC, Canada Duration: Jul 21 2013 → Jul 25 2013

Publication series

Name	IEEE Power and Energy Society General Meeting
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Other

Other	2013 IEEE Power and Energy Society General Meeting, PES 2013
Country/Territory	Canada
City	Vancouver, BC
Period	7/21/13 → 7/25/13

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Artificial neural networks (ANNs)
distributed generation (DG)
energy storage system (ESS)
load forecasting model
photovoltaic (PV)
solar radiation forecasting model

ASJC Scopus subject areas

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Access to Document

10.1109/PESMG.2013.6672414

Cite this

Hussein, AA & Batarseh, I 2013, Energy management for a grid-tied photovoltaic-wind-storage system - Part II: Operation strategy. in 2013 IEEE Power and Energy Society General Meeting, PES 2013., 6672414, IEEE Power and Energy Society General Meeting, 2013 IEEE Power and Energy Society General Meeting, PES 2013, Vancouver, BC, Canada, 7/21/13. https://doi.org/10.1109/PESMG.2013.6672414

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title = "Energy management for a grid-tied photovoltaic-wind-storage system - Part II: Operation strategy",

abstract = "Renewable energy has unique characteristics such as it is sustainable, clean and free. However, renewable generation systems have two major limitations: they are strongly dependent on the weather conditions; and they have unsynchronized generation peaks with the demand peaks, in general. In a series of two papers, an energy management strategy for a distributed photovoltaic (PV)-wind-storage system is proposed. This second paper proposes a strategy to control the operation of the energy storage to overcome the limitations of renewable sources and forecasting models uncertainty. The proposed operation strategy is advantageous in terms of it allows a highly efficient and profitable operation of the system especially in an electricity spot market. Simulation results that shows the effectiveness of the proposed control strategy are provided.",

keywords = "Artificial neural networks (ANNs), distributed generation (DG), energy storage system (ESS), load forecasting model, photovoltaic (PV), solar radiation forecasting model",

author = "Hussein, \{Ala A.\} and Issa Batarseh",

year = "2013",

doi = "10.1109/PESMG.2013.6672414",

language = "English",

isbn = "9781479913039",

series = "IEEE Power and Energy Society General Meeting",

booktitle = "2013 IEEE Power and Energy Society General Meeting, PES 2013",

note = "2013 IEEE Power and Energy Society General Meeting, PES 2013 ; Conference date: 21-07-2013 Through 25-07-2013",

}

TY - GEN

T1 - Energy management for a grid-tied photovoltaic-wind-storage system - Part II

T2 - 2013 IEEE Power and Energy Society General Meeting, PES 2013

AU - Hussein, Ala A.

AU - Batarseh, Issa

PY - 2013

Y1 - 2013

N2 - Renewable energy has unique characteristics such as it is sustainable, clean and free. However, renewable generation systems have two major limitations: they are strongly dependent on the weather conditions; and they have unsynchronized generation peaks with the demand peaks, in general. In a series of two papers, an energy management strategy for a distributed photovoltaic (PV)-wind-storage system is proposed. This second paper proposes a strategy to control the operation of the energy storage to overcome the limitations of renewable sources and forecasting models uncertainty. The proposed operation strategy is advantageous in terms of it allows a highly efficient and profitable operation of the system especially in an electricity spot market. Simulation results that shows the effectiveness of the proposed control strategy are provided.

AB - Renewable energy has unique characteristics such as it is sustainable, clean and free. However, renewable generation systems have two major limitations: they are strongly dependent on the weather conditions; and they have unsynchronized generation peaks with the demand peaks, in general. In a series of two papers, an energy management strategy for a distributed photovoltaic (PV)-wind-storage system is proposed. This second paper proposes a strategy to control the operation of the energy storage to overcome the limitations of renewable sources and forecasting models uncertainty. The proposed operation strategy is advantageous in terms of it allows a highly efficient and profitable operation of the system especially in an electricity spot market. Simulation results that shows the effectiveness of the proposed control strategy are provided.

KW - Artificial neural networks (ANNs)

KW - distributed generation (DG)

KW - energy storage system (ESS)

KW - load forecasting model

KW - photovoltaic (PV)

KW - solar radiation forecasting model

UR - https://www.scopus.com/pages/publications/84893168457

UR - https://www.scopus.com/pages/publications/84893168457#tab=citedBy

U2 - 10.1109/PESMG.2013.6672414

DO - 10.1109/PESMG.2013.6672414

M3 - Conference contribution

AN - SCOPUS:84893168457

SN - 9781479913039

T3 - IEEE Power and Energy Society General Meeting

BT - 2013 IEEE Power and Energy Society General Meeting, PES 2013

Y2 - 21 July 2013 through 25 July 2013

ER -

Energy management for a grid-tied photovoltaic-wind-storage system - Part II: Operation strategy

Abstract

Publication series

Other

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this