With the improvement of living standards and economic growth, the electricity consumption
of Chinese residents is increasing year by year. Due to the existence of many nonlinear …

The shared energy storage service provided by independent energy storage operators
(IESO) has a wide range of application prospects, but when faced with the interrelated and …

Integrating renewable energy sources (RESs) into modern electric power systems offers
various techno-economic benefits. However, the inconsistent power profile of RES …

This paper studies the problem of locating harmonic sources and estimating the distribution
of harmonic voltages in unbalanced three-phase power distribution systems. We develop an …

The enormous rise in installed wind power capacity worldwide over the last twenty years
means most of the wind power plants will soon reach their end-of-life of service. The …

Probabilistic optimal power flow (POPF) plays a crucial role in ensuring the economic and
secure operation of power systems with multiple fluctuating loads and renewable energy …

In this paper, we propose a data-driven algorithm for probabilistic optimal power flow
(POPF). In particular, we develop a nonparametric Bayesian framework based on the …

In recent years, the definition of the distributed energy management frameworks has
become the core of research due to its distinguished advantages including the less time …

Probabilistic power flow (PPF) is pivotal to quantifying the state uncertainties of distribution
power systems. However, it is very challenging due to underlying complex correlations …

Wind power is a rapidly developing energy source. Many nations use wind power to meet a
considerable amount of their energy needs. Moreover, the technology of wind power has …