Optimizing the Size of Autonomous Hybrid Microgrids with Regard to Load Shifting
The article proposes a method of multipurpose optimization of the size of an autonomous hybrid energy system consisting of photovoltaic, wind, diesel, and battery energy storage systems, and including a load-shifting system. The classical iterative Gauss–Seidel method was applied to optimize the siz...
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ftmdpi:oai:mdpi.com:/1996-1073/14/16/5059/ 2023-08-20T04:09:30+02:00 Optimizing the Size of Autonomous Hybrid Microgrids with Regard to Load Shifting Alexander Lavrik Yuri Zhukovskiy Pavel Tcvetkov 2021-08-17 application/pdf https://doi.org/10.3390/en14165059 EN eng Multidisciplinary Digital Publishing Institute F: Electrical Engineering https://dx.doi.org/10.3390/en14165059 https://creativecommons.org/licenses/by/4.0/ Energies; Volume 14; Issue 16; Pages: 5059 renewable demand response wind turbine photovoltaic system storage diesel Text 2021 ftmdpi https://doi.org/10.3390/en14165059 2023-08-01T02:27:38Z The article proposes a method of multipurpose optimization of the size of an autonomous hybrid energy system consisting of photovoltaic, wind, diesel, and battery energy storage systems, and including a load-shifting system. The classical iterative Gauss–Seidel method was applied to optimize the size of a hybrid energy system in a remote settlement on Sakhalin Island. As a result of the optimization according to the minimum net present value criterion, several optimal configurations corresponding to different component combinations were obtained. Several optimal configurations were also found, subject to a payback period constraint of 5, 6, and 7 years. Optimizing the size of the hybrid power system with electric load shifting showed that the share of the load not covered by renewable energy sources decreases by 1.25% and 2.1%, depending on the parameters of the load shifting model. Net present cost and payback period also decreased, other technical and economic indicators improved; however, CO2 emissions increased due to the reduction in the energy storage system. Text Sakhalin MDPI Open Access Publishing Energies 14 16 5059 |
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English |
topic |
renewable demand response wind turbine photovoltaic system storage diesel |
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renewable demand response wind turbine photovoltaic system storage diesel Alexander Lavrik Yuri Zhukovskiy Pavel Tcvetkov Optimizing the Size of Autonomous Hybrid Microgrids with Regard to Load Shifting |
topic_facet |
renewable demand response wind turbine photovoltaic system storage diesel |
description |
The article proposes a method of multipurpose optimization of the size of an autonomous hybrid energy system consisting of photovoltaic, wind, diesel, and battery energy storage systems, and including a load-shifting system. The classical iterative Gauss–Seidel method was applied to optimize the size of a hybrid energy system in a remote settlement on Sakhalin Island. As a result of the optimization according to the minimum net present value criterion, several optimal configurations corresponding to different component combinations were obtained. Several optimal configurations were also found, subject to a payback period constraint of 5, 6, and 7 years. Optimizing the size of the hybrid power system with electric load shifting showed that the share of the load not covered by renewable energy sources decreases by 1.25% and 2.1%, depending on the parameters of the load shifting model. Net present cost and payback period also decreased, other technical and economic indicators improved; however, CO2 emissions increased due to the reduction in the energy storage system. |
format |
Text |
author |
Alexander Lavrik Yuri Zhukovskiy Pavel Tcvetkov |
author_facet |
Alexander Lavrik Yuri Zhukovskiy Pavel Tcvetkov |
author_sort |
Alexander Lavrik |
title |
Optimizing the Size of Autonomous Hybrid Microgrids with Regard to Load Shifting |
title_short |
Optimizing the Size of Autonomous Hybrid Microgrids with Regard to Load Shifting |
title_full |
Optimizing the Size of Autonomous Hybrid Microgrids with Regard to Load Shifting |
title_fullStr |
Optimizing the Size of Autonomous Hybrid Microgrids with Regard to Load Shifting |
title_full_unstemmed |
Optimizing the Size of Autonomous Hybrid Microgrids with Regard to Load Shifting |
title_sort |
optimizing the size of autonomous hybrid microgrids with regard to load shifting |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/en14165059 |
genre |
Sakhalin |
genre_facet |
Sakhalin |
op_source |
Energies; Volume 14; Issue 16; Pages: 5059 |
op_relation |
F: Electrical Engineering https://dx.doi.org/10.3390/en14165059 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/en14165059 |
container_title |
Energies |
container_volume |
14 |
container_issue |
16 |
container_start_page |
5059 |
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1774722501993037824 |