Proactive energy storage operation strategy and optimization of a solar polystorage and polygeneration system based on day-ahead load forecasting DOI
Nan Zheng, Qiushi Wang,

Xingqi Ding

и другие.

Applied Energy, Год журнала: 2024, Номер 381, С. 125088 - 125088

Опубликована: Дек. 16, 2024

Язык: Английский

Low-carbon optimal dispatch of park integrated energy system considering coordinated ammonia production from multiple hydrogen energy DOI
Wei Zhang, Jiang Liu

Renewable Energy, Год журнала: 2024, Номер unknown, С. 121712 - 121712

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4

Bi-level optimization and Stackelberg game in multi-integrated energy systems DOI
She-Sheng Xue, Yingchun Wang, Yang Liu

и другие.

Journal of Energy Storage, Год журнала: 2025, Номер 111, С. 115356 - 115356

Опубликована: Янв. 15, 2025

Процитировано

0

Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System DOI
Pengfei Zhang, Jiandong Duan, Yuhui Li

и другие.

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 238 - 248

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Developing a regulatory framework for multiple participation in energy communities: Insights from Austria DOI Creative Commons
Lia Gruber, Thomas Klatzer, Sonja Wogrin

и другие.

Energy Strategy Reviews, Год журнала: 2025, Номер 58, С. 101672 - 101672

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

A Tri-Level Optimization Model for the Integrated Energy System with Orderly Charging/Discharging of Electric Vehicles DOI
Zhichao Liu, Yiqun Pan, Changqi Li

и другие.

Опубликована: Янв. 1, 2024

Given the rapid growth of electric vehicles (EVs) ownership and accelerated construction novel energy systems, it is urgent to promote integration EVs integrated systems (IESs). This study proposes a tri-level optimization model optimize operation capacity IES with orderly charging/discharging (OCD) considering individual EV behavior. In which, trip schedule state charge (SOC) demand are predicted by spatiotemporal-SOC characterization model. Moreover, through charging discharging quote based on trend time-of-use tariffs guide OCD each EV, decoupling decision-making scheduling achieved an interaction level pre-computation method. Finally, this optimizes minimum operating cost total cost, respectively. Following simulation case study, results show that can reduce 12.1% at expense 0.14% increase in equipment which significantly better than electrical storage devices (EESs) reduces 7.1% 9.1% cost. integrating EESs 17.9% final 6.7%. At same time, owners general not only achieve free but also receive overall daily revenue 1,420 CNY supplement additional battery degradation loss EVs. Generally, investigates economic technical feasibility IES.

Язык: Английский

Процитировано

2

A tri-level optimization model for the integrated energy system with orderly charging/discharging of electric vehicles DOI
Zhichao Liu, Yiqun Pan, Changqi Li

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 101, С. 113872 - 113872

Опубликована: Сен. 30, 2024

Язык: Английский

Процитировано

2

Adaptive robust strategy for energy and regulation Service Management in Local Energy Communities DOI Creative Commons
Meysam Khojasteh, Pedro Faria, Zita Vale

и другие.

Applied Energy, Год журнала: 2024, Номер 377, С. 124648 - 124648

Опубликована: Окт. 9, 2024

Язык: Английский

Процитировано

2

Multi-scenario optimization and performance evaluation of integrated energy system considering co-scheduling of EVs and stationary energy storage DOI
Xiaofeng Zhang, Yuting Liu, Zhan Yu

и другие.

Renewable Energy, Год журнала: 2024, Номер unknown, С. 121927 - 121927

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

2

Multi-agent cooperative operation method incorporating electric vehicle operator considering user service selection DOI
Cunhao Wei, Zhong Chen, Yi Wang

и другие.

Energy, Год журнала: 2024, Номер 314, С. 134170 - 134170

Опубликована: Дек. 10, 2024

Язык: Английский

Процитировано

1

Research on Two-Stage Energy Storage Optimization Configurations of Rural Distributed Photovoltaic Clusters Considering the Local Consumption of New Energy DOI Creative Commons

Yang Liu,

Dawei Liu,

K. Kang

и другие.

Energies, Год журнала: 2024, Номер 17(24), С. 6272 - 6272

Опубликована: Дек. 12, 2024

As photovoltaic technologies are being promoted throughout the country, widespread installation of distributed systems in rural areas regions compromises safety and stability distribution network. Distributed clusters can be configured with energy storage to increase local consumption mitigate impact grid-connected modes. Against this background, paper focuses on areas, combines typical operation modes clusters, constructs two-stage optimization configuration model for clusters. Taking a Chinese village as an example, proposed is optimized improved particle swarm algorithm. Given different combinations without demand response, comparative analyses conducted economic benefits independent operators various scenarios. Simulations indicate that proportion reaches 62.64%, which 34.02% more than scenario storage. The results configuring significantly improves level. Meanwhile, implementing response achieve same effect while reducing configuration, life-cycle appreciable. simulation show participating reduce system cost by 7.15% at 60%. This research expands application channels provides references investment decisions systems.

Язык: Английский

Процитировано

1