Techno-Economic Assessment and Operational Planning of Wind-Battery Distributed Renewable Generation System

Electrical energy and power demand will experience exponential increase with the rise of the global population. Power demand is predictable and can be estimated based on population and available historical data. However, renewable energy sources (RES) are intermittent, unpredictable, and environment...

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Main Authors: Umar Salman, Khalid Khan, Fahad Alismail, Muhammad Khalid
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/12/6776
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spelling doaj-e86684efa7674bca82e48f565d8716302021-07-01T00:15:17ZengMDPI AGSustainability2071-10502021-06-01136776677610.3390/su13126776Techno-Economic Assessment and Operational Planning of Wind-Battery Distributed Renewable Generation SystemUmar Salman0Khalid Khan1Fahad Alismail2Muhammad Khalid3Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi ArabiaElectrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi ArabiaElectrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi ArabiaElectrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi ArabiaElectrical energy and power demand will experience exponential increase with the rise of the global population. Power demand is predictable and can be estimated based on population and available historical data. However, renewable energy sources (RES) are intermittent, unpredictable, and environment-dependent. Interestingly, microgrids are becoming smarter but require adequate and an appropriate energy storage system (ESS) to support their smooth and optimal operation. The deep discharge caused by the charging–discharging operation of the ESS affects its state of health, depth of discharge (DOD), and life cycle, and inadvertently reduces its lifetime. Additionally, these parameters of the ESS are directly affected by the varying demand and intermittency of RES. This study presents an assessment of battery energy storage in wind-penetrated microgrids considering the DOD of the ESS. The study investigates two scenarios: a standalone microgrid, and a grid-connected microgrid. The problem is formulated based on the operation cost of the microgrid considering the DOD and the lifetime of the battery. The optimization problem is solved using non-linear programming. The scheduled operation cost of the microgrid, the daily scheduling cost of ESS, the power dispatch by distributed generators, and the DOD of the battery storage at any point in time are reported. Performance analysis showed that a power loss probability of less than 10% is achievable in all scenarios, demonstrating the effectiveness of the study.https://www.mdpi.com/2071-1050/13/12/6776depth of dischargeenergy capacityenergy storage systempower capacityrenewable energywind energy
collection DOAJ
language English
format Article
sources DOAJ
author Umar Salman
Khalid Khan
Fahad Alismail
Muhammad Khalid
spellingShingle Umar Salman
Khalid Khan
Fahad Alismail
Muhammad Khalid
Techno-Economic Assessment and Operational Planning of Wind-Battery Distributed Renewable Generation System
Sustainability
depth of discharge
energy capacity
energy storage system
power capacity
renewable energy
wind energy
author_facet Umar Salman
Khalid Khan
Fahad Alismail
Muhammad Khalid
author_sort Umar Salman
title Techno-Economic Assessment and Operational Planning of Wind-Battery Distributed Renewable Generation System
title_short Techno-Economic Assessment and Operational Planning of Wind-Battery Distributed Renewable Generation System
title_full Techno-Economic Assessment and Operational Planning of Wind-Battery Distributed Renewable Generation System
title_fullStr Techno-Economic Assessment and Operational Planning of Wind-Battery Distributed Renewable Generation System
title_full_unstemmed Techno-Economic Assessment and Operational Planning of Wind-Battery Distributed Renewable Generation System
title_sort techno-economic assessment and operational planning of wind-battery distributed renewable generation system
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-06-01
description Electrical energy and power demand will experience exponential increase with the rise of the global population. Power demand is predictable and can be estimated based on population and available historical data. However, renewable energy sources (RES) are intermittent, unpredictable, and environment-dependent. Interestingly, microgrids are becoming smarter but require adequate and an appropriate energy storage system (ESS) to support their smooth and optimal operation. The deep discharge caused by the charging–discharging operation of the ESS affects its state of health, depth of discharge (DOD), and life cycle, and inadvertently reduces its lifetime. Additionally, these parameters of the ESS are directly affected by the varying demand and intermittency of RES. This study presents an assessment of battery energy storage in wind-penetrated microgrids considering the DOD of the ESS. The study investigates two scenarios: a standalone microgrid, and a grid-connected microgrid. The problem is formulated based on the operation cost of the microgrid considering the DOD and the lifetime of the battery. The optimization problem is solved using non-linear programming. The scheduled operation cost of the microgrid, the daily scheduling cost of ESS, the power dispatch by distributed generators, and the DOD of the battery storage at any point in time are reported. Performance analysis showed that a power loss probability of less than 10% is achievable in all scenarios, demonstrating the effectiveness of the study.
topic depth of discharge
energy capacity
energy storage system
power capacity
renewable energy
wind energy
url https://www.mdpi.com/2071-1050/13/12/6776
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AT muhammadkhalid technoeconomicassessmentandoperationalplanningofwindbatterydistributedrenewablegenerationsystem
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