This paper presents distributed algorithms for both radial and looped load flows for unbalanced, multi-phase power distribution systems. The distributed algorithms are developed from tree-based sequential algorithms. Formulas of scalability for the distributed algorithms are presented. It is shown that computation time dominates communication time in the distributed computing model. This provid...

This paper presents unbalanced active distribution system analysis with renewable distributed Energy Resources (DER). The renewable DER models have been considered are photovoltaic (PV) and Wind Turbine generation (WTG). The three-phase distribution load flow on the basis of the symmetrical components has been used in the analysis. The unbalanced active distribution system has been analized usi...

In order to deal with power quality problems under distortional and unbalanced load conditions, this paper presents a new control method for a four-wire three-phase unified power quality conditioner (UPQC) which is based on instantaneous power p-q theory. The proposed control approach is based on instantaneous power and is optimized by using a self-tuning filter (STF), without using any low-pas...

In this study, an alternative control method is proposed to improve the harmonic suppression efficiency of the active power filter in a distorted and unbalanced power system to compensate the perturbations caused by unbalanced non-linear loads. The proposed method uses a selftuning filter (STF) to process the grid voltage in order to provide a uniform reference voltage to obtain the correct ang...

In this paper, a new control strategy is proposed for implementation in low-voltage microgrids with balanced/ unbalanced load circumstances. The proposed scheme contains, the power droop controllers, inner voltage and current loops, the virtual impedance loop, the voltage imbalance compensation. The proposed strategy balances the voltage of the single-phase critical loads by compensating the im...

In this paper we propose a predictive approach for dynamic load balancing. This approach involves predicting unbalanced load distribution using Estimation Maximization (EM) algorithm, and migrating local jobs based on the estimation average. This strategy is an improvement to the existing approaches because by using EM algorithm, we only extract sample workload information which is assumed to f...