Tradition K-means clustering algorithm is easy to fall into local optimum, poor clustering
effect on large capacity data and uneven distribution of clustering centroids. To solve these …

This paper aims to develop a decision-making procedure for efficient placement and sizing
of energy storage system (ESS) within virtual power plants (VPPs) premises under the …

The Brushless Doubly-Fed Reluctance Machine (BDFRM) has been widely investigated in
numerous research studies since it is brushless and cageless and there is no winding on the …

Quality of electricity with continuity is the reliability of the power system which is inversely
proportional with the duration of power supply interruption. It depends on some expected or …

This paper proposes a methodology for optimal allocation of multi-period-based switchable
capacitor in radial distribution systems to minimize the energy loss and improve the voltage …

A large number of distributed new energy and flexible loads are connected to the distribution
network, resulting in increasingly complex source load characteristics and supply and …

Data clustering incorporated in Monte Carlo Simulation (MCS) proves efficient in
Probabilistic Load Flow (PLF) of the power grids under uncertainty of renewable energy …

This article proposes a method based on data clustering for the optimal placement and
sizing of wind farms (WFs) in radial distribution systems considering the wind uncertainty …

This paper studies the effect of the number of switching (NOS) per day of capacitor banks on
loss reduction in radial distribution systems. To this aim, the daytime (more precisely, 24 h) is …

This paper suggests a new approach, called automatic data clustering, using an enhanced
arithmetic optimization algorithm (ADC-EAOA), for improving the probabilistic load flow …