Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Ruan, Guangchun"'
Microgrid serves as a promising solution to integrate and manage distributed renewable energy resources. In this paper, we establish a stochastic multi-objective sizing optimization (SMOSO) model for microgrid planning, which fully captures the batte
Externí odkaz:
http://arxiv.org/abs/2406.06880
For integrating heterogeneous distributed energy resources to provide fast frequency regulation, this paper proposes a dynamic virtual power plant~(DVPP) with frequency regulation capacity. A parameter anonymity-based approach is established for DVPP
Externí odkaz:
http://arxiv.org/abs/2406.05976
Modern network-constrained unit commitment (NCUC) bears a heavy computational burden due to the ever-growing model scale. This situation becomes more challenging when detailed operational characteristics, complicated constraints, and multiple objecti
Externí odkaz:
http://arxiv.org/abs/2404.05217
Autor:
Liao, Wenlong, Porte-Agel, Fernando, Fang, Jiannong, Bak-Jensen, Birgitte, Ruan, Guangchun, Yang, Zhe
Machine learning models (e.g., neural networks) achieve high accuracy in wind power forecasting, but they are usually regarded as black boxes that lack interpretability. To address this issue, the paper proposes a glass-box approach that combines hig
Externí odkaz:
http://arxiv.org/abs/2310.18629
Aggregating distributed energy resources (DERs) is of great significance to improve the overall operational efficiency of smart grid. The aggregation model needs to consider various factors such as network constraints, operational constraints, and ec
Externí odkaz:
http://arxiv.org/abs/2308.04007
Autor:
Yang, Yinguo, Ye, Yiling, Cheng, Zhuoxiao, Ruan, Guangchun, Lu, Qiuyu, Wang, Xuan, Zhong, Haiwang
Battery storage is essential to enhance the flexibility and reliability of electric power systems by providing auxiliary services and load shifting. Storage owners typically gains incentives from quick responses to auxiliary service prices, but frequ
Externí odkaz:
http://arxiv.org/abs/2305.15079
With the increasing proportion of renewable energy in the generation side, it becomes more difficult to accurately predict the power generation and adapt to the large deviations between the optimal dispatch scheme and the day-ahead scheduling in the
Externí odkaz:
http://arxiv.org/abs/2303.02306
Decarbonization of power systems plays a crucial role in achieving carbon neutral goals across the globe, but there exists a sharp contradiction between the emission reduction and levelized generation cost. Therefore, it is of great importance for po
Externí odkaz:
http://arxiv.org/abs/2301.12956
A major concern in modern power systems is that the popularity and fluctuating characteristics of renewable energy may cause more and more transmission congestion events. Traditional congestion management modeling involves AC or DC power flow equatio
Externí odkaz:
http://arxiv.org/abs/2212.12661
The superior performance of deep learning relies heavily on a large collection of sample data, but the data insufficiency problem turns out to be relatively common in global electricity markets. How to prevent overfitting in this case becomes a funda
Externí odkaz:
http://arxiv.org/abs/2210.05599