This paper presents a stochastic planning algorithm to plan an operation of a multi-microgrid
(MMG) in an electricity market considering the integration of stochastic renewable energy …

Accurate prediction of wind speed plays an important role in increasing the power
generation of wind turbines and realizing efficient use of wind energy. However, due to the …

The uncertainties of solar photovoltaics generation, electric vehicle charging demand, and
home appliances load are the major challenge of energy management planning in the …

The intermittent and uncertain properties of wind power have presented enormous obstacles
to the planning and steady operation of power systems. In this context, as an effective …

Controlled islanding is a last-resort recovery scheme for preventing cascading failures.
Although effective, high levels of uncertainty from renewable energy resources challenge …

Modelling the uncertainty of wind speed is essential in power flow analysis. Having
abundant knowledge of the wind speed in an area is critical. A low volume of data can …

Wafer fabrication is a complex manufacturing system. Timely identification of the key
influencing factors associated with the cause of defects is critical to wafer yield …

随着分布式电源的大量接入, 为研究分布式风电的相关性对配电网风险的影响,
提出了一种计及时空相关性的分布式风电接入配电网风险评估方法. 首先, 考虑风电出力在不同 …

Distributed photovoltaic (PV) output exhibits strong stochasticity and weak adjustability. After
being integrated with the network, its interaction with stochastic loads increases the difficulty …

针对风电场中各风电机组风速之间存在的复杂时空相关性问题, 提出一种基于混合Copula
优化算法的风电场风速预测方法. 该方法首先分析单一Copula 函数拟合优度检验 …