Development of an Energy Management System for a Microgrid Using Neural Networks. Case Study: San Cristobal Island, Galapagos Archipelago

G. Ampuño-Avilés; R. López-Marcillo; D. Andrade-Núñez

doi:10.1007/978-981-19-6347-6_5

Development of an Energy Management System for a Microgrid Using Neural Networks. Case Study: San Cristobal Island, Galapagos Archipelago

G. Ampuño-Avilés, R. López-Marcillo, D. Andrade-Núñez

Sustainability, Management And Regulation Of Telecommunications And Energy (SMART-TECH)

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

Abstract

In this paper, an energy management system EMS hourly energy management system for a renewable energy system (HRES) is presented. The proposed HRES is composed of hybrid wind turbine (WT), solar photovoltaic (PV) panels, a diesel generator (DG) and a Distributed Collector System (DCS), as primary energy sources. In turn, an energy storage system (ESS), which is a battery sub-system. The wind turbine, PV panels and DCS system are made to work at peak power, while the battery acts as storage. The EMS uses intelligent rule-based controllers and optimizers to meet the energy demanded by the load and maintain the state of charge (SOC) of the battery between certain target margins, while trying to optimize the utilization cost and lifetime of the BESS. Simulation results show that optimization-based control meets the objectives set for the HRES EMS and achieves a total cost savings of 23.5% over other simpler control state-based EMSs.

Original language	English
Title of host publication	Communication and Applied Technologies - Proceedings of ICOMTA 2022
Editors	Paulo Carlos López-López, Ángel Torres-Toukoumidis, Andrea De-Santis, Óscar Avilés, Daniel Barredo
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	47-57
Number of pages	11
ISBN (Print)	9789811963469
DOIs	https://doi.org/10.1007/978-981-19-6347-6_5
State	Published - 2023
Event	International Conference on Communication and Applied Technologies, ICOMTA 2022 - Cuenca, Ecuador Duration: 7 Sep 2022 → 9 Sep 2022

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	318
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	International Conference on Communication and Applied Technologies, ICOMTA 2022
Country/Territory	Ecuador
City	Cuenca
Period	7/09/22 → 9/09/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Artificial neural networks
EMS
Fuzzy logic control
Renewable energy

UN SDGs

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

Access to Document

10.1007/978-981-19-6347-6_5

Cite this

Ampuño-Avilés, G., López-Marcillo, R., & Andrade-Núñez, D. (2023). Development of an Energy Management System for a Microgrid Using Neural Networks. Case Study: San Cristobal Island, Galapagos Archipelago. In P. C. López-López, Á. Torres-Toukoumidis, A. De-Santis, Ó. Avilés, & D. Barredo (Eds.), Communication and Applied Technologies - Proceedings of ICOMTA 2022 (pp. 47-57). (Smart Innovation, Systems and Technologies; Vol. 318). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6347-6_5

Ampuño-Avilés, G. ; López-Marcillo, R. ; Andrade-Núñez, D. / Development of an Energy Management System for a Microgrid Using Neural Networks. Case Study : San Cristobal Island, Galapagos Archipelago. Communication and Applied Technologies - Proceedings of ICOMTA 2022. editor / Paulo Carlos López-López ; Ángel Torres-Toukoumidis ; Andrea De-Santis ; Óscar Avilés ; Daniel Barredo. Springer Science and Business Media Deutschland GmbH, 2023. pp. 47-57 (Smart Innovation, Systems and Technologies).

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abstract = "In this paper, an energy management system EMS hourly energy management system for a renewable energy system (HRES) is presented. The proposed HRES is composed of hybrid wind turbine (WT), solar photovoltaic (PV) panels, a diesel generator (DG) and a Distributed Collector System (DCS), as primary energy sources. In turn, an energy storage system (ESS), which is a battery sub-system. The wind turbine, PV panels and DCS system are made to work at peak power, while the battery acts as storage. The EMS uses intelligent rule-based controllers and optimizers to meet the energy demanded by the load and maintain the state of charge (SOC) of the battery between certain target margins, while trying to optimize the utilization cost and lifetime of the BESS. Simulation results show that optimization-based control meets the objectives set for the HRES EMS and achieves a total cost savings of 23.5% over other simpler control state-based EMSs.",

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Ampuño-Avilés, G, López-Marcillo, R & Andrade-Núñez, D 2023, Development of an Energy Management System for a Microgrid Using Neural Networks. Case Study: San Cristobal Island, Galapagos Archipelago. in PC López-López, Á Torres-Toukoumidis, A De-Santis, Ó Avilés & D Barredo (eds), Communication and Applied Technologies - Proceedings of ICOMTA 2022. Smart Innovation, Systems and Technologies, vol. 318, Springer Science and Business Media Deutschland GmbH, pp. 47-57, International Conference on Communication and Applied Technologies, ICOMTA 2022, Cuenca, Ecuador, 7/09/22. https://doi.org/10.1007/978-981-19-6347-6_5

Development of an Energy Management System for a Microgrid Using Neural Networks. Case Study: San Cristobal Island, Galapagos Archipelago. / Ampuño-Avilés, G.; López-Marcillo, R.; Andrade-Núñez, D.
Communication and Applied Technologies - Proceedings of ICOMTA 2022. ed. / Paulo Carlos López-López; Ángel Torres-Toukoumidis; Andrea De-Santis; Óscar Avilés; Daniel Barredo. Springer Science and Business Media Deutschland GmbH, 2023. p. 47-57 (Smart Innovation, Systems and Technologies; Vol. 318).

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

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T2 - International Conference on Communication and Applied Technologies, ICOMTA 2022

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N2 - In this paper, an energy management system EMS hourly energy management system for a renewable energy system (HRES) is presented. The proposed HRES is composed of hybrid wind turbine (WT), solar photovoltaic (PV) panels, a diesel generator (DG) and a Distributed Collector System (DCS), as primary energy sources. In turn, an energy storage system (ESS), which is a battery sub-system. The wind turbine, PV panels and DCS system are made to work at peak power, while the battery acts as storage. The EMS uses intelligent rule-based controllers and optimizers to meet the energy demanded by the load and maintain the state of charge (SOC) of the battery between certain target margins, while trying to optimize the utilization cost and lifetime of the BESS. Simulation results show that optimization-based control meets the objectives set for the HRES EMS and achieves a total cost savings of 23.5% over other simpler control state-based EMSs.

AB - In this paper, an energy management system EMS hourly energy management system for a renewable energy system (HRES) is presented. The proposed HRES is composed of hybrid wind turbine (WT), solar photovoltaic (PV) panels, a diesel generator (DG) and a Distributed Collector System (DCS), as primary energy sources. In turn, an energy storage system (ESS), which is a battery sub-system. The wind turbine, PV panels and DCS system are made to work at peak power, while the battery acts as storage. The EMS uses intelligent rule-based controllers and optimizers to meet the energy demanded by the load and maintain the state of charge (SOC) of the battery between certain target margins, while trying to optimize the utilization cost and lifetime of the BESS. Simulation results show that optimization-based control meets the objectives set for the HRES EMS and achieves a total cost savings of 23.5% over other simpler control state-based EMSs.

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Ampuño-Avilés G, López-Marcillo R, Andrade-Núñez D. Development of an Energy Management System for a Microgrid Using Neural Networks. Case Study: San Cristobal Island, Galapagos Archipelago. In López-López PC, Torres-Toukoumidis Á, De-Santis A, Avilés Ó, Barredo D, editors, Communication and Applied Technologies - Proceedings of ICOMTA 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 47-57. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-19-6347-6_5

Development of an Energy Management System for a Microgrid Using Neural Networks. Case Study: San Cristobal Island, Galapagos Archipelago

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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