Optimal evolutionary dispatch for integrated community energy systems considering uncertainties of renewable energy sources and internal loads
For the future development of integrated energy systems with high penetration of renewable energy, an integrated community energy systems (ICES) dispatch model is proposed including various renewable energy sources and energy conversion units. Energy coupling matrices of ICES based on traditional en...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/153729 |
| _version_ | 1811683517025746944 |
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| author | Liu, Xinghua Xie, Shenghan Geng, Chen Yin, Jianning Xiao, Gaoxi Cao, Hui |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Liu, Xinghua Xie, Shenghan Geng, Chen Yin, Jianning Xiao, Gaoxi Cao, Hui |
| author_sort | Liu, Xinghua |
| collection | NTU |
| description | For the future development of integrated energy systems with high penetration of renewable energy, an integrated community energy systems (ICES) dispatch model is proposed including various renewable energy sources and energy conversion units. Energy coupling matrices of ICES based on traditional energy hub (EH) models are constructed. Uncertainties of long‐term forecast data of renewable energy sources and internal loads are depicted by multi‐interval uncertainty sets (MIUS). To cope with the impacts caused by uncertainties of renewable energy sources and internal loads, the whole dispatch process is divided into two stages. Considering various constraints of ICES, we solved the dispatch model through the improved particle swarm optimization (IPSO) algorithm in the first stage. The optimal evolutionary dispatch is then proposed in the second stage to overcome the evolution and errors of short‐term forecast data and obtain the optimal dispatch plan. The effectiveness of the proposed dispatch method is demonstrated using an example considering dramatic uncertainties. Compared with the traditional methods, the proposed dispatch method effectively reduces system operating costs and improves the environmental benefits, which helps to achieve a win‐win situation for both energy companies and users. |
| first_indexed | 2024-10-01T04:13:59Z |
| format | Journal Article |
| id | ntu-10356/153729 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:13:59Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1537292021-12-23T04:11:01Z Optimal evolutionary dispatch for integrated community energy systems considering uncertainties of renewable energy sources and internal loads Liu, Xinghua Xie, Shenghan Geng, Chen Yin, Jianning Xiao, Gaoxi Cao, Hui School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Integrated Community Energy System Energy Hub For the future development of integrated energy systems with high penetration of renewable energy, an integrated community energy systems (ICES) dispatch model is proposed including various renewable energy sources and energy conversion units. Energy coupling matrices of ICES based on traditional energy hub (EH) models are constructed. Uncertainties of long‐term forecast data of renewable energy sources and internal loads are depicted by multi‐interval uncertainty sets (MIUS). To cope with the impacts caused by uncertainties of renewable energy sources and internal loads, the whole dispatch process is divided into two stages. Considering various constraints of ICES, we solved the dispatch model through the improved particle swarm optimization (IPSO) algorithm in the first stage. The optimal evolutionary dispatch is then proposed in the second stage to overcome the evolution and errors of short‐term forecast data and obtain the optimal dispatch plan. The effectiveness of the proposed dispatch method is demonstrated using an example considering dramatic uncertainties. Compared with the traditional methods, the proposed dispatch method effectively reduces system operating costs and improves the environmental benefits, which helps to achieve a win‐win situation for both energy companies and users. Published version 2021-12-23T04:11:01Z 2021-12-23T04:11:01Z 2021 Journal Article Liu, X., Xie, S., Geng, C., Yin, J., Xiao, G. & Cao, H. (2021). Optimal evolutionary dispatch for integrated community energy systems considering uncertainties of renewable energy sources and internal loads. Energies, 14(12), 3644-. https://dx.doi.org/10.3390/en14123644 1996-1073 https://hdl.handle.net/10356/153729 10.3390/en14123644 2-s2.0-85108876212 12 14 3644 en Energies © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/). application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Integrated Community Energy System Energy Hub Liu, Xinghua Xie, Shenghan Geng, Chen Yin, Jianning Xiao, Gaoxi Cao, Hui Optimal evolutionary dispatch for integrated community energy systems considering uncertainties of renewable energy sources and internal loads |
| title | Optimal evolutionary dispatch for integrated community energy systems considering uncertainties of renewable energy sources and internal loads |
| title_full | Optimal evolutionary dispatch for integrated community energy systems considering uncertainties of renewable energy sources and internal loads |
| title_fullStr | Optimal evolutionary dispatch for integrated community energy systems considering uncertainties of renewable energy sources and internal loads |
| title_full_unstemmed | Optimal evolutionary dispatch for integrated community energy systems considering uncertainties of renewable energy sources and internal loads |
| title_short | Optimal evolutionary dispatch for integrated community energy systems considering uncertainties of renewable energy sources and internal loads |
| title_sort | optimal evolutionary dispatch for integrated community energy systems considering uncertainties of renewable energy sources and internal loads |
| topic | Engineering::Electrical and electronic engineering Integrated Community Energy System Energy Hub |
| url | https://hdl.handle.net/10356/153729 |
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