With the increasing attention of the renewable energy implementation in distributed power system, the hybrid smart grid (SG) operation is mainly featured by distributed renewable generation, data visualization, data prediction in high accuracy and operation cost minimization. Due to the large volume of heterogeneous data provided by both the customer and the grid side, a big data visualization ...

We consider the issue of task assignment in a distributed system under heavy-tailed (ie. highly variable) workloads. A new adaptable approach called TAPTF (Task Assignment based on Prioritising Traffic Flows) is proposed, which improves performance under heavy-tailed workloads for certain classes of traffic. TAPTF controls the influx of tasks to each host, enables service differentiation throug...

Received May 23, 2015 Revised July 13, 2015 Accepted August 2, 2015 A new distributed generation placement method based on biogeographybased optimization (BBO) is investigated in this paper. A significant novelty of this study lies in considering fuzzy load uncertainty. For this purpose a fuzzy backwardforward sweep load flow is proposed. The main objectives of this study is minimizing power lo...

Wind Power Distributed Generators (WPDGs) are being increasingly placed in the power system due to their several technical and environmental benefits. In this paper, a Modified Particle Swarm Optimizer (MPSO) based method is proposed for placement of multiple WPDGs and capacitors. Monte Carlo Simulation (MCS) based probabilistic load flow, considering uncertainty in load demand and wind generat...

Proper location of DGs in power systems is important for obtaining their maximum potential benefits. This paper deals with DG for minimizing active power loss and D-statcom for reactive power loss minimization is considered. The proper siting of DG and D-statcom is a recently developed combination with the aim of reducing line loss in a radial distribution system. Loss Sensitivity Factor (LSF) ...

This paper presents a new direct matrix inversion-less analysis for radial distribution systems (RDSs). The method can successfully deal with weakly meshed distribution systems. (WMDSs). Being easy to implement, direct methods (DMs) provide an excellent performance. Matrix inversion is the mean reason of divergence and low-efficiency in power flow algorithms. In this paper, the performance of t...

Load sharing among distributed generation systems (DGS) is one of the most important topics in wireless-enabled smart microgrids, where a set of power inverters at different geographical locations work coordinately and collaboratively through wireless networks to meet the load requirement. Parallel power inverters operated in distributed generation systems rely on the underlying wireless commun...

Distributed Generation (DG) in the form of renewable power generation systems is currently preferred for clean power generation. It has a significant impact on the distribution systems. This impact may be either positively or negatively depending on the distribution system, distributed generator and load characteristics. In this works, an overview of DG is briefly introduced. The technology of ...

This paper presents the influence of distributed generation (DG) on congestion and locational marginal price (LMP) in an optimal power flow (OPF) based wholesale electricity market. The problem of optimal placement to manage congestion and reduce LMP is formulated for the objective of social welfare maximization. From competitive electricity market standpoint, DGs have great value when they red...