Multiobjective joint economic dispatching of a microgrid with multiple distributed generation
Based on the operation characteristics of each dispatch unit, a multi-objective hierarchical Microgrid (MG) economic dispatch strategy with load level, source-load level, and source-grid-load level is proposed in this paper. The objective functions considered are to minimize each dispatching unit’s...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2019
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| Online Access: | https://hdl.handle.net/10356/106303 http://hdl.handle.net/10220/48900 http://dx.doi.org/10.3390/en11123264 |
| _version_ | 1824455692272009216 |
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| author | Hou, Hui Xue, Mengya Xu, Yan Tang, Jinrui Zhu, Guorong Liu, Peng Xu, Tao |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Hou, Hui Xue, Mengya Xu, Yan Tang, Jinrui Zhu, Guorong Liu, Peng Xu, Tao |
| author_sort | Hou, Hui |
| collection | NTU |
| description | Based on the operation characteristics of each dispatch unit, a multi-objective hierarchical Microgrid (MG) economic dispatch strategy with load level, source-load level, and source-grid-load level is proposed in this paper. The objective functions considered are to minimize each dispatching unit’s comprehensive operating cost (COC), reduce the power fluctuation between the MG and the main grid connect line, and decrease the remaining net load of the MG after dispatch by way of energy storage (ES) and clean energy. Firstly, the load level takes electric vehicles (EVs) as a means of controlling load to regulate the MG’s load fluctuation using its energy storage characteristics under time-of-use (TOU) price. Then, in order to minimize the remaining net load of the MG and the COC of the ES unit through Multiobjective Particle Swarm Optimization (MPSO), the source-load level adopts clean energy and ES units to absorb the optimized load from the load level. Finally, the remaining net load is absorbed by the main grid and diesel engines (DE), and the remaining clean energy is sold to the main grid to gain benefits at the source-grid-load level. Ultimately, the proposed strategy is simulated and analyzed with a specific example and compared with the EVs’ disorderly charging operation and MG isolated grid operation, which verifies the strategy’s scientificity and effectiveness. |
| first_indexed | 2025-02-19T03:42:15Z |
| format | Journal Article |
| id | ntu-10356/106303 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:42:15Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/1063032019-12-06T22:08:36Z Multiobjective joint economic dispatching of a microgrid with multiple distributed generation Hou, Hui Xue, Mengya Xu, Yan Tang, Jinrui Zhu, Guorong Liu, Peng Xu, Tao School of Electrical and Electronic Engineering Economic Dispatch Microgrid DRNTU::Engineering::Electrical and electronic engineering Based on the operation characteristics of each dispatch unit, a multi-objective hierarchical Microgrid (MG) economic dispatch strategy with load level, source-load level, and source-grid-load level is proposed in this paper. The objective functions considered are to minimize each dispatching unit’s comprehensive operating cost (COC), reduce the power fluctuation between the MG and the main grid connect line, and decrease the remaining net load of the MG after dispatch by way of energy storage (ES) and clean energy. Firstly, the load level takes electric vehicles (EVs) as a means of controlling load to regulate the MG’s load fluctuation using its energy storage characteristics under time-of-use (TOU) price. Then, in order to minimize the remaining net load of the MG and the COC of the ES unit through Multiobjective Particle Swarm Optimization (MPSO), the source-load level adopts clean energy and ES units to absorb the optimized load from the load level. Finally, the remaining net load is absorbed by the main grid and diesel engines (DE), and the remaining clean energy is sold to the main grid to gain benefits at the source-grid-load level. Ultimately, the proposed strategy is simulated and analyzed with a specific example and compared with the EVs’ disorderly charging operation and MG isolated grid operation, which verifies the strategy’s scientificity and effectiveness. Published version 2019-06-21T04:29:34Z 2019-12-06T22:08:36Z 2019-06-21T04:29:34Z 2019-12-06T22:08:36Z 2018 Journal Article Hou, H., Xue, M., Xu, Y., Tang, J., Zhu, G., Liu, P., & Xu, T. (2018). Multiobjective Joint Economic Dispatching of a Microgrid with Multiple Distributed Generation. Energies, 11(12), 3264-. doi:10.3390/en11123264 1996-1073 https://hdl.handle.net/10356/106303 http://hdl.handle.net/10220/48900 http://dx.doi.org/10.3390/en11123264 en Energies © 2018 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 (http://creativecommons.org/licenses/by/4.0/). 19 p. application/pdf |
| spellingShingle | Economic Dispatch Microgrid DRNTU::Engineering::Electrical and electronic engineering Hou, Hui Xue, Mengya Xu, Yan Tang, Jinrui Zhu, Guorong Liu, Peng Xu, Tao Multiobjective joint economic dispatching of a microgrid with multiple distributed generation |
| title | Multiobjective joint economic dispatching of a microgrid with multiple distributed generation |
| title_full | Multiobjective joint economic dispatching of a microgrid with multiple distributed generation |
| title_fullStr | Multiobjective joint economic dispatching of a microgrid with multiple distributed generation |
| title_full_unstemmed | Multiobjective joint economic dispatching of a microgrid with multiple distributed generation |
| title_short | Multiobjective joint economic dispatching of a microgrid with multiple distributed generation |
| title_sort | multiobjective joint economic dispatching of a microgrid with multiple distributed generation |
| topic | Economic Dispatch Microgrid DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/106303 http://hdl.handle.net/10220/48900 http://dx.doi.org/10.3390/en11123264 |
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