With high penetration of renewable generation and distributed energy resources, distribution
systems are facing new operational challenges due to their intermittency and uncertainty. To …

Transition to a sustainable energy environment results in aggregated generator and load
dynamics in the distribution network. State estimation is a key function in building adequate …

In this paper, a day-ahead market-clearing model for smart distribution systems is proposed.
Various types of distributed energy resources (DERs), such as distributed energy storage …

The locational marginal price (LMP) methodology has been discussed for distribution
networks/systems under the smart grid initiative. In this paper, a new distribution LMP …

Integration of electricity and heat distribution networks offers extra flexibility to system
operation and improves energy efficiency. The energy hub (EH) plays an important role in …

Low-voltage distribution networks are emerging as an increasingly important component of
power system operations due to the deployment of distributed renewable resources (eg …

This paper presents the distribution locational marginal pricing (DLMP) method through
quadratic programming (QP) designed to alleviate the congestion that might occur in a …

Renewable energy sources continues to gain popularity. However, two major limitations
exist that prevent widespread adoption: availability of the electricity generated and the cost …

Abstract False Data Injection Attack (FDIA) is one of the most dangerous cyber attacks
against smart power grids, as it could cause severe physical and economic damage. In this …

This paper presents a distribution locational marginal pricing (DLMP) method through
chance constrained mixed-integer programming (MIP) designed to alleviate the possible …