A minor deviation in wind speed causes large deviation in the output power of wind turbine
because of cubic bond association between these two parameters. Therefore, a precise …

Renewable energy has rapidly advanced in the global energy system in recent decades.
The variability of renewable energy causes technical challenges for its integration in the …

大语言模型(LLM) 是一种利用大规模文本语料库进行预训练和微调的深度学习语言模型. 目前,
在通识问答, 文本生成和科学推理等方面已展现出强大的能力. 在此背景下, 文中探索了基于LLM …

The basic trend of low-carbon power sector transition is the expansion of non-fossil power,
especially the power generation from renewable energy sources. With the higher …

This paper develops a novel hybrid algorithm for solving transmission expansion planning
(TEP) problems in electric power networks. Raising the awareness about immense …

When wind power constitutes a larger share of the electricity production mix, credible and
reliable modelling of its operation in long-term investment models becomes increasingly …

This paper introduces a two-stage stochastic program for transmission planning. The model
has two dependent random variables, namely, total electric load and available wind power …

The interest in the utilization of offshore wind power is increasing significantly worldwide. A
typical offshore windfarm may have hundreds of generators, which is outspread in the range …

This paper introduces a transmission planning model for a system integrating a large
amount of remote wind power. We consider uncertainties of wind availability and system …

To alleviate the impacts of stochastic wind generation on stability performance, this paper
proposes a novel control design method for coordination and synthesis of damping …