Integrating electric vehicle (EV) charging infrastructures into the utility grids requires solutions for coordinated of EVs. Load management systems aim at computing schedules vehicles based on predetermined objectives. Contributions EVs predominantly assume that or stations are controllable entities in load systems. However, practice, may consist and uncontrollable entities. This paper propose...

For power grids with high penetration of distributed energy resources (DERs), microgrids can provide operation and control capabilities for clusters DERs load. Furthermore, enhance resilience the hosting bulk grid if they are enabled to serve critical load beyond jurisdiction microgrids. widespread deployment microgrids, a modular standardized Microgrid Building Block (MBB) is essential help re...

The packet loss during transmission of load control commands can lead to regulation errors in the smart grid and increase cost utility agencies due purchase additional automatic generation (AGC) services. In this paper, a two-layer cooperative communication network between company relays is presented. rents relay assist with downlink improve reliability reduce data loss. Furthermore, uncertaint...

Present distribution grids generally have limited sensing capabilities and are therefore characterized by low observability. Improved observability is a prerequisite for increasing the hosting capacity of distributed energy resources such as solar photovoltaics (PV) in grids. In this context, paper presents learning-aided low-voltage estimation using untapped but readily available widely sensor...

In this expository article we will be primarily concerned with core aspects of Grids and Grid computing using OSS with some emphasis on utility computing. It is based on a technical report entitled 'Grid-Computing Using Linux' by the present author. Grids have made great progress in the area of scientific computing and collaboration projects in the recent past. They have also moved into the dom...

Electricity theft is one of the challenging problems in smart grids. The power utilities around globe face huge economic loss due to ET. traditional electricity detection (ETD) models confront several challenges, such as highly imbalance distribution consumption data, curse dimensionality and inevitable effects non-malicious factors. To cope with aforementioned concerns, this paper presents a n...

Hybrid Wireless Mesh Networks (WMN) are generally employed to establish communication during disaster recovery operations. The Hybrid WMN network is formed in a spontaneous manner when wireless nodes belonging to different agencies are operated in the disaster area. These wireless nodes generally have heterogeneous configurations in terms of number of transceivers, computational power, battery ...

Increasing renewable penetration in distribution grids calls for improved monitoring and control, where power flow (PF) model is the basis many advanced functionalities. However, unobservability makes traditional way infeasible to construct PF analysis via admittance matrix grids. While data-driven approaches can approximate mapping, direct machine learning (ML) applications may suffer from sev...

Growing complexity and cost of system deployment, ownership and operation pushes to look for economical, yet limitless ways to organize and manage large-scale computing in science, technology and businesses. The two most prominent examples are the concepts of the Utility Data Center [1] and the Grid [2]. One of the hard problems in system management is the distributed resource allocation proble...