Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves
The increasing occurrence frequency of extreme temperature events, e.g., heat and cold waves, causes prolonged periods of low renewable production and increased load demand, threatening the power system energy balance. In this context, this paper proposes to quantify the energy imbalance in long-dur...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524006586 |
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| author | Wenqian Yin Kun Zhuang Pei Kong Pengcheng Fan Jilei Ye Yuping Wu Xun Dou |
| author_facet | Wenqian Yin Kun Zhuang Pei Kong Pengcheng Fan Jilei Ye Yuping Wu Xun Dou |
| author_sort | Wenqian Yin |
| collection | DOAJ |
| description | The increasing occurrence frequency of extreme temperature events, e.g., heat and cold waves, causes prolonged periods of low renewable production and increased load demand, threatening the power system energy balance. In this context, this paper proposes to quantify the energy imbalance in long-duration Hydrogen energy storage (HES)-assisted power systems under heat waves (HWs). First, we comprehensively model how HWs impact the operating characteristics of multiple grid components, including renewable generation, load, and dynamic thermal rating of transmission lines. Both exogenous prediction information and decision-dependent uncertainties (DDU) in demand response (DR) are properly modeled and taken into account. On this basis, we establish a quantification model for evaluating future energy imbalance in the presence of upcoming HWs in a two-stage stochastic framework, where the first stage determines the Hydrogen amount to be pre-stored before the heatwave, and the second stage comprises scenario-wise operation during the heatwave considering impacts of heatwaves on multiple components, DR, and available energy storage from HES. A Benders decomposition-based solution method is presented for the established two-stage stochastic model with DDU and mixed-binary recourse. Case studies on modified IEEE-6 bus and 118-bus systems verify the proposed model and solution method. Case study results show that the energy imbalance and operation costs due to HWs can be effectively decreased by pre-storing Hydrogen, implementing DDU-featured DR, and preserving more generator reserve capacity. |
| format | Article |
| id | doaj-art-1b9790a8bd0141eb949cff1ddd6b7d14 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-1b9790a8bd0141eb949cff1ddd6b7d142025-01-19T06:24:02ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-03-01164110434Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat wavesWenqian Yin0Kun Zhuang1Pei Kong2Pengcheng Fan3Jilei Ye4Yuping Wu5Xun Dou6School of Energy Science and Engineering, Nanjing Tech University, Nanjing, ChinaSchool of Energy Science and Engineering, Nanjing Tech University, Nanjing, ChinaSchool of Energy Science and Engineering, Nanjing Tech University, Nanjing, ChinaSchool of Energy Science and Engineering, Nanjing Tech University, Nanjing, ChinaSchool of Energy Science and Engineering, Nanjing Tech University, Nanjing, China; Corresponding author.School of Energy Science and Engineering, Nanjing Tech University, Nanjing, ChinaCollege of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, ChinaThe increasing occurrence frequency of extreme temperature events, e.g., heat and cold waves, causes prolonged periods of low renewable production and increased load demand, threatening the power system energy balance. In this context, this paper proposes to quantify the energy imbalance in long-duration Hydrogen energy storage (HES)-assisted power systems under heat waves (HWs). First, we comprehensively model how HWs impact the operating characteristics of multiple grid components, including renewable generation, load, and dynamic thermal rating of transmission lines. Both exogenous prediction information and decision-dependent uncertainties (DDU) in demand response (DR) are properly modeled and taken into account. On this basis, we establish a quantification model for evaluating future energy imbalance in the presence of upcoming HWs in a two-stage stochastic framework, where the first stage determines the Hydrogen amount to be pre-stored before the heatwave, and the second stage comprises scenario-wise operation during the heatwave considering impacts of heatwaves on multiple components, DR, and available energy storage from HES. A Benders decomposition-based solution method is presented for the established two-stage stochastic model with DDU and mixed-binary recourse. Case studies on modified IEEE-6 bus and 118-bus systems verify the proposed model and solution method. Case study results show that the energy imbalance and operation costs due to HWs can be effectively decreased by pre-storing Hydrogen, implementing DDU-featured DR, and preserving more generator reserve capacity.http://www.sciencedirect.com/science/article/pii/S0142061524006586Benders decomposition (BD)Decision-dependent uncertainty (DDU)Heat waves (HWs)Hydrogen energy storage (HES)Resilient operationTwo-stage stochastic optimization |
| spellingShingle | Wenqian Yin Kun Zhuang Pei Kong Pengcheng Fan Jilei Ye Yuping Wu Xun Dou Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves International Journal of Electrical Power & Energy Systems Benders decomposition (BD) Decision-dependent uncertainty (DDU) Heat waves (HWs) Hydrogen energy storage (HES) Resilient operation Two-stage stochastic optimization |
| title | Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves |
| title_full | Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves |
| title_fullStr | Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves |
| title_full_unstemmed | Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves |
| title_short | Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves |
| title_sort | quantifying the energy imbalance in hydrogen energy storage assisted power systems under heat waves |
| topic | Benders decomposition (BD) Decision-dependent uncertainty (DDU) Heat waves (HWs) Hydrogen energy storage (HES) Resilient operation Two-stage stochastic optimization |
| url | http://www.sciencedirect.com/science/article/pii/S0142061524006586 |
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