Optimal configuration of integrated energy system based on multiple energy storage considering source-load uncertainties under different risk tendencies DOI
Mingxu Yang, Jiangjiang Wang, Yuan Zhou

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 109, С. 115220 - 115220

Опубликована: Дек. 31, 2024

Язык: Английский

Low-carbon economy configuration strategy of electro-thermal hybrid shared energy storage in multiple multi-energy microgrids considering power to gas and carbon capture system DOI
Lin Liu, Xilong Yao, Xiaoyan Qi

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 428, С. 139366 - 139366

Опубликована: Окт. 17, 2023

Язык: Английский

Процитировано

32

A Novel MOWSO algorithm for Microgrid multi-objective optimal dispatch DOI
Yuling He,

Xuewei Wu,

Kai Sun

и другие.

Electric Power Systems Research, Год журнала: 2024, Номер 232, С. 110374 - 110374

Опубликована: Апрель 8, 2024

Язык: Английский

Процитировано

12

Optimal design of solar/wind/energy storage system-powered RO desalination unit: Single and multi-objective optimization DOI

Kamyar Ghanbari,

Akbar Maleki,

Dariush Rezaei Ochbelagh

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 315, С. 118768 - 118768

Опубликована: Июль 5, 2024

Язык: Английский

Процитировано

11

A hierarchical co-optimal planning framework for microgrid considering hydrogen energy storage and demand-side flexibilities DOI
Yi Tao,

Qingxiu Li,

Yanlei Zhu

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 84, С. 110940 - 110940

Опубликована: Фев. 21, 2024

Язык: Английский

Процитировано

10

Bi-level real-time pricing model in multitype electricity users for welfare equilibrium: A reinforcement learning approach DOI
H. Song, Zhongqing Wang, Yan Gao

и другие.

Journal of Renewable and Sustainable Energy, Год журнала: 2025, Номер 17(1)

Опубликована: Янв. 1, 2025

The diverse load profile formation and utility preferences of multitype electricity users challenge real-time pricing (RTP) welfare equilibrium. This paper designs an RTP strategy for smart grids. On the demand side, it constructs functions reflecting user characteristics uses multi-agents different interests. Considering industrial users, small-scale microgrids, distributed generation, battery energy storage systems are included. Based on supply interest, a online multi-agent reinforcement learning (RL) algorithm is proposed. A bi-level stochastic model in Markov decision process framework optimizes strategy. Through information exchange, adaptive scheme balances interest achieves optimal strategies. Simulation results confirm effectiveness proposed method peak shaving valley filling. Three fluctuation scenarios compared, showing algorithm's adaptability. findings reveal potential RL-based resource allocation benefits Innovations modeling, construction, application have theoretical practical significance market research.

Язык: Английский

Процитировано

2

Stochastic optimal design of a rural microgrid with hybrid storage system including hydrogen and electric cars using vehicle-to-grid technology DOI
Gulfem Er, Gürkan Soykan, Ethem Çanakoğlu

и другие.

Journal of Energy Storage, Год журнала: 2023, Номер 75, С. 109747 - 109747

Опубликована: Ноя. 16, 2023

Язык: Английский

Процитировано

24

The dynamic economic emission dispatch of the combined heat and power system integrated with a wind farm and a photovoltaic plant DOI
Dexuan Zou, Dunwei Gong, Haibin Ouyang

и другие.

Applied Energy, Год журнала: 2023, Номер 351, С. 121890 - 121890

Опубликована: Сен. 12, 2023

Язык: Английский

Процитировано

21

A multi-objective energy scheduling of the reconfigurable off-grid microgrid with electric vehicles using demand response program DOI
Pratik Harsh, Debapriya Das

Computers & Electrical Engineering, Год журнала: 2024, Номер 117, С. 109275 - 109275

Опубликована: Май 8, 2024

Язык: Английский

Процитировано

8

Challenges and potential solutions for the global optimization of "Offshore Wind Energy — Multi-Marine Resources" integration system in the Beibu Gulf of Guangxi DOI Creative Commons
Tianhui Fan, Haoran Yang,

Qianzheng Liang

и другие.

Deleted Journal, Год журнала: 2025, Номер 2(1), С. 100073 - 100073

Опубликована: Янв. 1, 2025

<p>The development of a national energy base and modern system in the Beibu Gulf Guangxi requires an innovative system. General only consists single marine resource, this work introduces "Offshore Wind Energy—Multi-Marine Resources" integration system, which distinctively centers on offshore wind power while incorporating seawater hydrogen production, pumped storage, desalination, aquaculture, other resource utilization complexes. Its potential challenges during its future construction solutions for global optimization that need to be addressed are as follows: 1) creating high-precision speed prediction model across multiple scales; 2) developing under uncertainties; 3) proposing resilience assessment method systems subjected unconventional external shocks. This can contribute comprehensive resources establishment Province around world.</p>

Язык: Английский

Процитировано

1

Day-Ahead Scheduling of Multi-Energy Microgrids Based on a Stochastic Multi-Objective Optimization Model DOI Creative Commons
Seyed Reza Seyednouri, Amin Safari, Meisam Farrokhifar

и другие.

Energies, Год журнала: 2023, Номер 16(4), С. 1802 - 1802

Опубликована: Фев. 11, 2023

Dealing with multi-objective problems has several interesting benefits, one of which is that it supplies the decision-maker complete information regarding Pareto front, as well a clear overview various trade-offs are involved in problem. The selection such representative set is, and itself, problem must take into consideration number choices to show uniformity representation and/or coverage order ensure quality solution. In this study, day-ahead scheduling been transformed optimization due inclusion objectives, operating cost multi-energy multi-microgrids (MMGs) profit Distribution Company (DISCO). purpose proposed system determine best operation combined heat power (CHP) unit, gas boiler, energy storage, demand response program, transaction electricity natural (NG). Electricity traded by MGs DISCO at prices dynamic fixed, respectively. Through scenario generation probability density functions, uncertainties wind speed, solar irradiation, electrical, demands have considered. By using mixed-integer linear programming (MILP) for reduction, high generated scenarios significantly reduced. ɛ-constraint approach was used solved nonlinear (MINLP) obtain solution meets needs both these objective functions.

Язык: Английский

Процитировано

16