Decentralized Energy Management Using Multi-Agent Systems for Remote Hybrid Power Systems
<p id="p2">Hybrid Renewable Energy Systems (HRES) are increasingly adopted to provide reliable electricity in rural and remote areas lacking access to centralized grids. This chapter explores the development and validation of a Multi-Agent System (MAS) framework designed to enhance the control and c...
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| Format: | Book Chapter |
| Language: | English |
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2026
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| Online Access: | https://www.intechopen.com/chapters/1237153 |
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| _version_ | 1879164877055983616 |
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| author | Fahsyar, Puteri Nor Aznie Ismail, Nohaidda Sariff and Zool Hilmi |
| author_browse | Fahsyar, Puteri Nor Aznie Ismail, Nohaidda Sariff and Zool Hilmi |
| author_facet | Fahsyar, Puteri Nor Aznie Ismail, Nohaidda Sariff and Zool Hilmi |
| author_sort | Fahsyar, Puteri Nor Aznie |
| building | IntechOpen |
| collection | Acceso abierto |
| description | <p id="p2">Hybrid Renewable Energy Systems (HRES) are increasingly adopted to provide reliable electricity in rural and remote areas lacking access to centralized grids. This chapter explores the development and validation of a Multi-Agent System (MAS) framework designed to enhance the control and coordination of off-grid HRES integrating solar photovoltaic, wind turbines, battery storage, a diesel generator, and an inverter. The decentralized architecture assigns autonomous agents to each energy component, overseen by a central Control Agent that ensures optimal energy dispatch, fuel minimization, and system stability. The framework was evaluated over a 92-day period using real meteorological and load data. The MAS-based control strategy demonstrated significant improvements in operational efficiency, achieving over 90% reduction in fuel consumption and operating costs compared to conventional diesel-only systems. Solar photovoltaic emerged as the dominant energy source, with battery storage playing a key role in mitigating renewable intermittency and maintaining reliability. Economic assessment showed a 25% reduction in total system cost and a levelized cost of energy of $0.276/kWh, with an investment payback period of less than 2 years. These findings highlight the potential of MAS as an intelligent, scalable, and cost-effective solution for managing decentralized energy systems in underserved regions. The approach supports broader goals of enhancing energy access, promoting renewable integration, and advancing sustainable development in off-grid contexts.</p> |
| doi_str_mv | 10.5772/intechopen.1014778 |
| first_indexed | 2026-10-15T21:41:18Z |
| format | Book Chapter |
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<dc:title>Decentralized Energy Management Using Multi-Agent Systems for Remote Hybrid Power Systems</dc:title>
<dc:creator>Puteri Nor Aznie Fahsyar</dc:creator>
<dc:creator>Nohaidda Sariff
and Zool Hilmi Ismail</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description><p id="p2">Hybrid Renewable Energy Systems (HRES) are increasingly adopted to provide reliable electricity in rural and remote areas lacking access to centralized grids. This chapter explores the development and validation of a Multi-Agent System (MAS) framework designed to enhance the control and coordination of off-grid HRES integrating solar photovoltaic, wind turbines, battery storage, a diesel generator, and an inverter. The decentralized architecture assigns autonomous agents to each energy component, overseen by a central Control Agent that ensures optimal energy dispatch, fuel minimization, and system stability. The framework was evaluated over a 92-day period using real meteorological and load data. The MAS-based control strategy demonstrated significant improvements in operational efficiency, achieving over 90% reduction in fuel consumption and operating costs compared to conventional diesel-only systems. Solar photovoltaic emerged as the dominant energy source, with battery storage playing a key role in mitigating renewable intermittency and maintaining reliability. Economic assessment showed a 25% reduction in total system cost and a levelized cost of energy of $0.276/kWh, with an investment payback period of less than 2 years. These findings highlight the potential of MAS as an intelligent, scalable, and cost-effective solution for managing decentralized energy systems in underserved regions. The approach supports broader goals of enhancing energy access, promoting renewable integration, and advancing sustainable development in off-grid contexts.</p></dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2026-02-12</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/1237153</dc:identifier>
<dc:identifier>doi:10.5772/intechopen.1014778</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-1-83635-148-1</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/1004479 ; Multi-Agent Systems - From Basic Concepts to Cutting-Edge Technologies</dc:source>
</oai_dc:dc> |
| id | intech-1237153 |
| institution | IntechOpen |
| isbn | 978-1-83635-148-1 |
| language | English |
| last_indexed | 2026-10-15T21:41:18Z |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | oai_dc |
| spelling | intech-12371532026-02-12 Decentralized Energy Management Using Multi-Agent Systems for Remote Hybrid Power Systems Puteri Nor Aznie Fahsyar Nohaidda Sariff and Zool Hilmi Ismail Physical Sciences, Engineering and Technology <p id="p2">Hybrid Renewable Energy Systems (HRES) are increasingly adopted to provide reliable electricity in rural and remote areas lacking access to centralized grids. This chapter explores the development and validation of a Multi-Agent System (MAS) framework designed to enhance the control and coordination of off-grid HRES integrating solar photovoltaic, wind turbines, battery storage, a diesel generator, and an inverter. The decentralized architecture assigns autonomous agents to each energy component, overseen by a central Control Agent that ensures optimal energy dispatch, fuel minimization, and system stability. The framework was evaluated over a 92-day period using real meteorological and load data. The MAS-based control strategy demonstrated significant improvements in operational efficiency, achieving over 90% reduction in fuel consumption and operating costs compared to conventional diesel-only systems. Solar photovoltaic emerged as the dominant energy source, with battery storage playing a key role in mitigating renewable intermittency and maintaining reliability. Economic assessment showed a 25% reduction in total system cost and a levelized cost of energy of $0.276/kWh, with an investment payback period of less than 2 years. These findings highlight the potential of MAS as an intelligent, scalable, and cost-effective solution for managing decentralized energy systems in underserved regions. The approach supports broader goals of enhancing energy access, promoting renewable integration, and advancing sustainable development in off-grid contexts.</p> IntechOpen 2026-02-12 Chapter, Part Of Book https://www.intechopen.com/chapters/1237153 doi:10.5772/intechopen.1014778 en ISBN:978-1-83635-148-1 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/1004479 ; Multi-Agent Systems - From Basic Concepts to Cutting-Edge Technologies |
| spellingShingle | Physical Sciences, Engineering and Technology Fahsyar, Puteri Nor Aznie Ismail, Nohaidda Sariff and Zool Hilmi Decentralized Energy Management Using Multi-Agent Systems for Remote Hybrid Power Systems |
| title | Decentralized Energy Management Using Multi-Agent Systems for Remote Hybrid Power Systems |
| title_full | Decentralized Energy Management Using Multi-Agent Systems for Remote Hybrid Power Systems |
| title_fullStr | Decentralized Energy Management Using Multi-Agent Systems for Remote Hybrid Power Systems |
| title_full_unstemmed | Decentralized Energy Management Using Multi-Agent Systems for Remote Hybrid Power Systems |
| title_short | Decentralized Energy Management Using Multi-Agent Systems for Remote Hybrid Power Systems |
| title_sort | decentralized energy management using multi agent systems for remote hybrid power systems |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/1237153 |
| work_keys_str_mv | AT fahsyarputerinoraznie decentralizedenergymanagementusingmultiagentsystemsforremotehybridpowersystems AT ismailnohaiddasariffandzoolhilmi decentralizedenergymanagementusingmultiagentsystemsforremotehybridpowersystems |