Distributionally robust co-optimization of energy and reserve dispatch for integrated electricity-gas-heating systems DOI

Daren Ji,

Zhinong Wei,

Yizhou Zhou

и другие.

Sustainable Energy Technologies and Assessments, Год журнала: 2024, Номер 73, С. 104125 - 104125

Опубликована: Дек. 17, 2024

Язык: Английский

Towards a carbon-neutral community: Integrated renewable energy systems (IRES)–sources, storage, optimization, challenges, strategies and opportunities DOI
Yi‐An Zhu,

Siqi Wu,

Jiayi Li

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 83, С. 110663 - 110663

Опубликована: Фев. 2, 2024

Язык: Английский

Процитировано

53

Integration of cascaded coordinated rolling horizon control for output power smoothing in islanded wind–solar microgrid with multiple hydrogen storage tanks DOI Creative Commons
Muhammad Bakr Abdelghany, Ahmed Al‐Durra, Hatem Zeineldin

и другие.

Energy, Год журнала: 2024, Номер 291, С. 130442 - 130442

Опубликована: Янв. 23, 2024

This paper presents a strategy based on the hierarchical rolling horizon control, also called model predictive control (MPC), for efficiently managing hydrogen-energy storage system (HESS) within an islanded wind-solar microgrid. An electrolyzer uses electricity generated from renewable sources to produce clean hydrogen, which is then re-electrified by fuel cell as needed meet microgrid's loads. The main contribution lies in incorporation of multiple hydrogen tanks HESS, distinguishing it existing literature, typically focuses single tank. HESS enables large volumes long-term use, allowing microgrid operate autonomously without interaction with utility grid. In order ensure optimal performance, selection most suitable device operation at each time-step crucial. proposed takes into account economic and operational costs, degradation aspects, physical constraints while simultaneously ensuring tracking reference demands highest priority smoothing out variations energy sources. Numerical simulations lab-scale setup demonstrate that controller effectively manages thus satisfying optimizing even when deviations occur between predicted real-time scenarios. Furthermore, inclusion allows both mitigate fluctuations power load demand.

Язык: Английский

Процитировано

34

Multi-objective optimization study of regional integrated energy systems coupled with renewable energy, energy storage, and inter-station energy sharing DOI
Jiandong Jia,

Haiqiao Li,

Di Wu

и другие.

Renewable Energy, Год журнала: 2024, Номер 225, С. 120328 - 120328

Опубликована: Март 12, 2024

Язык: Английский

Процитировано

34

Multi-time scale scheduling optimization of integrated energy systems considering seasonal hydrogen utilization and multiple demand responses DOI
Zhewei Wang,

Banghua Du,

Yang Li

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 67, С. 728 - 749

Опубликована: Апрель 24, 2024

Язык: Английский

Процитировано

17

Coordinated energy management for integrated energy system incorporating multiple flexibility measures of supply and demand sides: A deep reinforcement learning approach DOI

Jiejie Liu,

Yao Li,

Yanan Ma

и другие.

Energy Conversion and Management, Год журнала: 2023, Номер 297, С. 117728 - 117728

Опубликована: Окт. 6, 2023

Язык: Английский

Процитировано

25

Optimizing long-term park-level integrated energy system through multi-stage planning: A study incorporating the ladder-type carbon trading mechanism DOI Creative Commons
Kaiyue Li, Jingyu Ran, Moon Keun Kim

и другие.

Results in Engineering, Год журнала: 2024, Номер 22, С. 102107 - 102107

Опубликована: Апрель 8, 2024

The integrated energy system is widely acknowledged as an effective method for advancing the adoption of renewable sources and reducing carbon emissions. To address economic issues caused by inconsistency between traditional single-stage planning capacities park-level (PIES), long-term model proposed, which consists multi-stage divisions incorporates ladder-type trading mechanism. utilizes long-term, approach to determine optimal installed capacity equipment. Meanwhile, mechanism conducted considering relationship actual emissions, emission quotas, cost. study assesses impact mechanisms various stage on feasibility PIES its ability reduce results indicate that compared fixed price strategies, implementation increases costs 0.15 %–0.18 %, but reduces emissions 0.36 %–0.6 %; number stages increases, significantly decrease, lifecycle also decrease. Compared planning, decrease 14.6 % 15.17 at K = 15; when baseline set 0.5 yuan/kg growth rate 0.5, values cost are achieved. In conclusion, this serves references strategic implementations PIES, emphasizing importance efficiency low-carbon practices in line with system's development sustainability objectives.

Язык: Английский

Процитировано

11

Transfer learning based hybrid model for power demand prediction of large-scale electric vehicles DOI
Chenlu Tian, Yechun Liu, Guiqing Zhang

и другие.

Energy, Год журнала: 2024, Номер 300, С. 131461 - 131461

Опубликована: Май 6, 2024

Язык: Английский

Процитировано

8

Visible and thermal image fusion network with diffusion models for high-level visual tasks DOI
Jin Meng, Jiahui Zou,

Zhuoheng Xiang

и другие.

Applied Intelligence, Год журнала: 2025, Номер 55(4)

Опубликована: Янв. 9, 2025

Язык: Английский

Процитировано

0

Data-driven optimal scheduling for integrated electricity-heat-gas-hydrogen energy system considering demand-side management: A deep reinforcement learning approach DOI

Jiejie Liu,

Xianyang Meng, Jiangtao Wu

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 103, С. 147 - 165

Опубликована: Янв. 17, 2025

Язык: Английский

Процитировано

0

Multi-agent deep reinforcement learning-based cooperative energy management for regional integrated energy system incorporating active demand-side management DOI

Jiejie Liu,

Yanan Ma,

Ying Chen

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 135056 - 135056

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0