A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs
The integration of renewable energy source (RES) and energy storage systems (ESS) in microgrids has provided potential benefit to end users and system operators. However, intermittent issues of RES and high cost of ESS need to be placed under scrutiny for economic operation of microgrids. This paper...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/139740 |
| _version_ | 1826127059316899840 |
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| author | Ju, Chengquan Wang, Peng Goel, Lalit Xu, Yan |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Ju, Chengquan Wang, Peng Goel, Lalit Xu, Yan |
| author_sort | Ju, Chengquan |
| collection | NTU |
| description | The integration of renewable energy source (RES) and energy storage systems (ESS) in microgrids has provided potential benefit to end users and system operators. However, intermittent issues of RES and high cost of ESS need to be placed under scrutiny for economic operation of microgrids. This paper presents a two-layer predictive energy management system (EMS) for microgrids with hybrid ESS consisting of batteries and supercapacitors. Incorporating degradation costs of the hybrid ESS with respect to the depth of charge and lifetime, long-term costs of batteries and supercapacitors are modeled and transformed to short-term costs related to real-time operation. In order to maintain high system robustness at minimum operational cost, a hierarchical dispatch model is proposed to determine the scheduling of utilities in microgrids within a finite time horizon, in which the upper layer EMS minimizes the total operational cost and the lower layer EMS eliminates fluctuations induced by forecast errors. Simulation studies demonstrate that different types of energy storages can be utilized at two control layers for multiple decision-making objectives. Scenarios incorporating different pricing schemes, prediction horizon lengths, and forecast accuracies also verify the effectiveness of the proposed EMS structure. |
| first_indexed | 2024-10-01T07:02:34Z |
| format | Journal Article |
| id | ntu-10356/139740 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:02:34Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1397402021-01-20T04:04:17Z A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs Ju, Chengquan Wang, Peng Goel, Lalit Xu, Yan School of Electrical and Electronic Engineering Interdisciplinary Graduate School (IGS) Energy Research Institute @ NTU (ERI@N) Engineering::Electrical and electronic engineering Optimization Microgrids The integration of renewable energy source (RES) and energy storage systems (ESS) in microgrids has provided potential benefit to end users and system operators. However, intermittent issues of RES and high cost of ESS need to be placed under scrutiny for economic operation of microgrids. This paper presents a two-layer predictive energy management system (EMS) for microgrids with hybrid ESS consisting of batteries and supercapacitors. Incorporating degradation costs of the hybrid ESS with respect to the depth of charge and lifetime, long-term costs of batteries and supercapacitors are modeled and transformed to short-term costs related to real-time operation. In order to maintain high system robustness at minimum operational cost, a hierarchical dispatch model is proposed to determine the scheduling of utilities in microgrids within a finite time horizon, in which the upper layer EMS minimizes the total operational cost and the lower layer EMS eliminates fluctuations induced by forecast errors. Simulation studies demonstrate that different types of energy storages can be utilized at two control layers for multiple decision-making objectives. Scenarios incorporating different pricing schemes, prediction horizon lengths, and forecast accuracies also verify the effectiveness of the proposed EMS structure. EDB (Economic Devt. Board, S’pore) 2020-05-21T06:00:27Z 2020-05-21T06:00:27Z 2017 Journal Article Ju, C., Wang, P., Goel, L., & Xu, Y. (2018). A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs. IEEE Transactions on Smart Grid, 9(6), 6047-6057. doi:10.1109/TSG.2017.2703126 1949-3053 https://hdl.handle.net/10356/139740 10.1109/TSG.2017.2703126 2-s2.0-85052829621 6 9 6047 6057 en IEEE Transactions on Smart Grid © 2017 IEEE. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Optimization Microgrids Ju, Chengquan Wang, Peng Goel, Lalit Xu, Yan A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs |
| title | A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs |
| title_full | A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs |
| title_fullStr | A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs |
| title_full_unstemmed | A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs |
| title_short | A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs |
| title_sort | two layer energy management system for microgrids with hybrid energy storage considering degradation costs |
| topic | Engineering::Electrical and electronic engineering Optimization Microgrids |
| url | https://hdl.handle.net/10356/139740 |
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