Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage
High intermittence of renewable energy resources (RESs) and restriction for greenhouse gas (GHG) emissions have significantly challenged the operations of traditional diesel generator (DG) based microgirds. This paper considers an emission-free microgid with hybrid hydrogen-battery energy storage (H...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/165108 |
| _version_ | 1826116856154423296 |
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| author | Fan, Feilong Zhang, Rui Xu, Yan Ren, Shuyun |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Fan, Feilong Zhang, Rui Xu, Yan Ren, Shuyun |
| author_sort | Fan, Feilong |
| collection | NTU |
| description | High intermittence of renewable energy resources (RESs) and restriction for greenhouse gas (GHG) emissions have significantly challenged the operations of traditional diesel generator (DG) based microgirds. This paper considers an emission-free microgid with hybrid hydrogen-battery energy storage (HHBES) and proposes a coordinated operational strategy to minimize its daily operation costs. In addition to the electricity purchase costs in the day-ahead market and the operational costs of RESs, the total degradation cost of HHBES is also included in the cost calculation. The proposed operational strategy consists of two coordinated stages. At the day-ahead stage, the schedule for the tie-line power is exchanged with the main grid, the output power of the fuel cell (FC) and the input power of the electrolysis device (ED) are optimized under the worst case of uncertain power output from RESs and power demand from electricity loads (ELs). At the intra-day stage, the battery power is determined according to the short-term prediction for the power of RESs and ELs. The problem is formulated as a robust optimization model and solved by a two-level column-and-constraint-generation (CCG) algorithm. Numerical simulations using Australian energy market operator (AEMO) data are carried out to validate the effectiveness of the proposed strategy. |
| first_indexed | 2024-10-01T04:18:16Z |
| format | Journal Article |
| id | ntu-10356/165108 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:18:16Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1651082023-03-14T15:37:47Z Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage Fan, Feilong Zhang, Rui Xu, Yan Ren, Shuyun School of Electrical and Electronic Engineering Energy Research Institute @ NTU (ERI@N) Engineering::Electrical and electronic engineering Coordinated Operation Emission-Free Microgrid High intermittence of renewable energy resources (RESs) and restriction for greenhouse gas (GHG) emissions have significantly challenged the operations of traditional diesel generator (DG) based microgirds. This paper considers an emission-free microgid with hybrid hydrogen-battery energy storage (HHBES) and proposes a coordinated operational strategy to minimize its daily operation costs. In addition to the electricity purchase costs in the day-ahead market and the operational costs of RESs, the total degradation cost of HHBES is also included in the cost calculation. The proposed operational strategy consists of two coordinated stages. At the day-ahead stage, the schedule for the tie-line power is exchanged with the main grid, the output power of the fuel cell (FC) and the input power of the electrolysis device (ED) are optimized under the worst case of uncertain power output from RESs and power demand from electricity loads (ELs). At the intra-day stage, the battery power is determined according to the short-term prediction for the power of RESs and ELs. The problem is formulated as a robust optimization model and solved by a two-level column-and-constraint-generation (CCG) algorithm. Numerical simulations using Australian energy market operator (AEMO) data are carried out to validate the effectiveness of the proposed strategy. Published version The work was supported in part by T-RECs Energy Pte. Ltd. under Grand No. 04IDS000719N014, and the National Natural Science Foundation of China (71801054). 2023-03-13T05:55:11Z 2023-03-13T05:55:11Z 2022 Journal Article Fan, F., Zhang, R., Xu, Y. & Ren, S. (2022). Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage. CSEE Journal of Power and Energy Systems, 8(2), 369-379. https://dx.doi.org/10.17775/CSEEJPES.2021.04200 2096-0042 https://hdl.handle.net/10356/165108 10.17775/CSEEJPES.2021.04200 2-s2.0-85128687851 2 8 369 379 en 04IDS000719N014 CSEE Journal of Power and Energy Systems © 2021 CSEE. Published by Chinese Society for Electrical Engineering. This is an open-access article distributed under the terms of the Creative Commons Attribution License. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Coordinated Operation Emission-Free Microgrid Fan, Feilong Zhang, Rui Xu, Yan Ren, Shuyun Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage |
| title | Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage |
| title_full | Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage |
| title_fullStr | Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage |
| title_full_unstemmed | Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage |
| title_short | Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage |
| title_sort | robustly coordinated operation of an emission free microgrid with hybrid hydrogen battery energy storage |
| topic | Engineering::Electrical and electronic engineering Coordinated Operation Emission-Free Microgrid |
| url | https://hdl.handle.net/10356/165108 |
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