Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search
Micro-energy grids have shown superiorities over traditional electricity and heating management systems. This paper presents a hybrid optimization strategy for micro-energy grid dispatch with three salient features. First, to enhance the ability to support new storage equipment, an energy hub model...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9500112/ |
| _version_ | 1818477123695804416 |
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| author | Zhenlong Li Peng Li Jing Xia Xiangqian Liu |
| author_facet | Zhenlong Li Peng Li Jing Xia Xiangqian Liu |
| author_sort | Zhenlong Li |
| collection | DOAJ |
| description | Micro-energy grids have shown superiorities over traditional electricity and heating management systems. This paper presents a hybrid optimization strategy for micro-energy grid dispatch with three salient features. First, to enhance the ability to support new storage equipment, an energy hub model is proposed using the non-supplementary fired compressed air energy storage (NSF-CAES). This provides flexible dispatch for cooling, heating and electricity. Second, considering the unique characteristics of the NSF-CAES, a sliding time window (STW) method is designed for simple but effective energy dispatch. Third, for the optimization of energy dispatch, we blend the differential evolution (DE) with the hyper-spherical search (HSS) to formulate a hybrid DE-HSS algorithm, which enhances the global search ability and accuracy. Comparative case studies are performed using real data of scenarios to demonstrate the superiorities of the proposed scheme. |
| first_indexed | 2024-12-10T09:34:09Z |
| format | Article |
| id | doaj.art-bc8d74a392554de9a969cd8014329680 |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-12-10T09:34:09Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-bc8d74a392554de9a969cd80143296802022-12-22T01:54:14ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202022-01-011041009102010.35833/MPCE.2020.0006399500112Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical SearchZhenlong Li0Peng Li1Jing Xia2Xiangqian Liu3Beijing Jiaotong University,Beijing,ChinaBeijing Jiaotong University,Beijing,ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University,Beijing,ChinaBeijing Jiaotong University,Beijing,ChinaMicro-energy grids have shown superiorities over traditional electricity and heating management systems. This paper presents a hybrid optimization strategy for micro-energy grid dispatch with three salient features. First, to enhance the ability to support new storage equipment, an energy hub model is proposed using the non-supplementary fired compressed air energy storage (NSF-CAES). This provides flexible dispatch for cooling, heating and electricity. Second, considering the unique characteristics of the NSF-CAES, a sliding time window (STW) method is designed for simple but effective energy dispatch. Third, for the optimization of energy dispatch, we blend the differential evolution (DE) with the hyper-spherical search (HSS) to formulate a hybrid DE-HSS algorithm, which enhances the global search ability and accuracy. Comparative case studies are performed using real data of scenarios to demonstrate the superiorities of the proposed scheme.https://ieeexplore.ieee.org/document/9500112/Energy hub dispatchhyper-spherical searchmicro-energy gridsliding time window |
| spellingShingle | Zhenlong Li Peng Li Jing Xia Xiangqian Liu Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search Journal of Modern Power Systems and Clean Energy Energy hub dispatch hyper-spherical search micro-energy grid sliding time window |
| title | Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search |
| title_full | Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search |
| title_fullStr | Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search |
| title_full_unstemmed | Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search |
| title_short | Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search |
| title_sort | optimization for micro energy grid dispatch based on non supplementary fired compressed air energy storage aided energy hub and hybrid hyper spherical search |
| topic | Energy hub dispatch hyper-spherical search micro-energy grid sliding time window |
| url | https://ieeexplore.ieee.org/document/9500112/ |
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