Distributionally robust energy-transportation coordination in coal mine integrated energy systems
In this paper, a coordinated operation approach is proposed for scheduling the energy-transportation coupled coal mine integrated energy system (CMIES) under diverse uncertainties. As the coupling equipment in the coal transportation network (CTN) and the CMIES, the belt conveyors are able to coordi...
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sg-ntu-dr.10356-1724552023-12-11T04:11:22Z Distributionally robust energy-transportation coordination in coal mine integrated energy systems Huang, Hongxu Li, Zhengmao Gooi, Hoay Beng Qiu, Haifeng Zhang, Xiaotong Lv, Chaoxian Liang, Rui Gong, Dunwei School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Virtual Energy Storage Distributionally Robust Optimization In this paper, a coordinated operation approach is proposed for scheduling the energy-transportation coupled coal mine integrated energy system (CMIES) under diverse uncertainties. As the coupling equipment in the coal transportation network (CTN) and the CMIES, the belt conveyors are able to coordinate the coal delivery scheduling and energy management. However, lacking the CTN modelling remains an unsolved challenge. Firstly, this paper proposed a novel energy-transportation coordinated model, consisting of the radial CTN and second-order cone programming (SOCP) relaxed CMIES. To address uncertainties from renewable energy generation output and raw coal production, the distributionally robust optimization (DRO) method is applied under the two-time scale operation framework to overcome the drawbacks of robust optimization and stochastic programming. The first timescale, i.e., the day-ahead scheduling, is focused on energy dispatching at long time intervals while the second scale i.e., the intra-day. scheduling, deals with uncertainties at short time intervals. Specifically, an event-wise Wasserstein ambiguity set is devised to handle the issue of probability distribution function information requirement, which is hard to obtain in practice. Finally, a real case of CMIES is simulated to validate the effectiveness of our proposed model and method. The results reveal that our method can effectively enhance the operational economy, realize decarbonization, and fulfill the coal transportation continuity compared to conventional methods. This work was financially supported by the National Natural Science Foundation of China No. 62133015, No. 52077215, National Key R&D Program of China with grant No. 2021YFE0199000. 2023-12-11T04:11:22Z 2023-12-11T04:11:22Z 2023 Journal Article Huang, H., Li, Z., Gooi, H. B., Qiu, H., Zhang, X., Lv, C., Liang, R. & Gong, D. (2023). Distributionally robust energy-transportation coordination in coal mine integrated energy systems. Applied Energy, 333, 120577-. https://dx.doi.org/10.1016/j.apenergy.2022.120577 0306-2619 https://hdl.handle.net/10356/172455 10.1016/j.apenergy.2022.120577 2-s2.0-85146058899 333 120577 en Applied Energy © 2022 Elsevier Ltd. All rights reserved. |
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Engineering::Electrical and electronic engineering Virtual Energy Storage Distributionally Robust Optimization Huang, Hongxu Li, Zhengmao Gooi, Hoay Beng Qiu, Haifeng Zhang, Xiaotong Lv, Chaoxian Liang, Rui Gong, Dunwei Distributionally robust energy-transportation coordination in coal mine integrated energy systems |
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In this paper, a coordinated operation approach is proposed for scheduling the energy-transportation coupled coal mine integrated energy system (CMIES) under diverse uncertainties. As the coupling equipment in the coal transportation network (CTN) and the CMIES, the belt conveyors are able to coordinate the coal delivery scheduling and energy management. However, lacking the CTN modelling remains an unsolved challenge. Firstly, this paper proposed a novel energy-transportation coordinated model, consisting of the radial CTN and second-order cone programming (SOCP) relaxed CMIES. To address uncertainties from renewable energy generation output and raw coal production, the distributionally robust optimization (DRO) method is applied under the two-time scale operation framework to overcome the drawbacks of robust optimization and stochastic programming. The first timescale, i.e., the day-ahead scheduling, is focused on energy dispatching at long time intervals while the second scale i.e., the intra-day. scheduling, deals with uncertainties at short time intervals. Specifically, an event-wise Wasserstein ambiguity set is devised to handle the issue of probability distribution function information requirement, which is hard to obtain in practice. Finally, a real case of CMIES is simulated to validate the effectiveness of our proposed model and method. The results reveal that our method can effectively enhance the operational economy, realize decarbonization, and fulfill the coal transportation continuity compared to conventional methods. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Huang, Hongxu Li, Zhengmao Gooi, Hoay Beng Qiu, Haifeng Zhang, Xiaotong Lv, Chaoxian Liang, Rui Gong, Dunwei |
format |
Article |
author |
Huang, Hongxu Li, Zhengmao Gooi, Hoay Beng Qiu, Haifeng Zhang, Xiaotong Lv, Chaoxian Liang, Rui Gong, Dunwei |
author_sort |
Huang, Hongxu |
title |
Distributionally robust energy-transportation coordination in coal mine integrated energy systems |
title_short |
Distributionally robust energy-transportation coordination in coal mine integrated energy systems |
title_full |
Distributionally robust energy-transportation coordination in coal mine integrated energy systems |
title_fullStr |
Distributionally robust energy-transportation coordination in coal mine integrated energy systems |
title_full_unstemmed |
Distributionally robust energy-transportation coordination in coal mine integrated energy systems |
title_sort |
distributionally robust energy-transportation coordination in coal mine integrated energy systems |
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2023 |
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https://hdl.handle.net/10356/172455 |
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1787136718731739136 |