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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Main Authors: Huang, Hongxu, Li, Zhengmao, Gooi, Hoay Beng, Qiu, Haifeng, Zhang, Xiaotong, Lv, Chaoxian, Liang, Rui, Gong, Dunwei
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/172455
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Institution: Nanyang Technological University
Language: English
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spelling 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.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Virtual Energy Storage
Distributionally Robust Optimization
spellingShingle 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
description 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.
author2 School of Electrical and Electronic Engineering
author_facet 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
publishDate 2023
url https://hdl.handle.net/10356/172455
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