Accurate power prediction of wind farm clusters is important for safe and economic operation
of power systems with high wind power penetration. Current superposition and statistical …

With the rapid growth of wind power installed capacity in recent years, the distribution of
wind farms will be relatively dense, and there are usually multiple wind farms in the same …

Probabilistic forecasting of photovoltaic (PV) power provides system operators with pertinent
information on the uncertainty of PV power generation. This paper proposes a spatio …

With the centralization of wind power development, power-prediction technology based on
wind power clusters has become an important means to reduce the volatility of wind power …

In distributed networks, wind turbine generators (WTGs) are to be optimally sized and
positioned for cost‐effective and efficient network service. Various meta‐heuristic algorithms …

The traditional Vine-Copula method employs Vine structure to represent the dependent
structure between wind speed of wind turbines in wind farms, which can fully capture the …

Large scale access integration of wind power generation brings great challenges to power
system. Scenario generation and reduction are the basis for power system security …