This paper presents an alternative approach to pseudo measurement modeling in the
context of distribution system state estimation (DSSE). In the proposed approach, pseudo …

The art of estimating future values of a random process, based upon previously observed or
estimated values, is usually known as a priori estimation, prediction, or forecasting. Power …

Nowadays, with the massive integration of distributed renewable generation, electric
vehicles... to the distribution level of the electricity grid, the traditional strategy for monitoring …

This paper describes the application of advanced metering infrastructure data for developing
energy forecasting and operational planning services in distribution networks with significant …

This paper exploits an electrical characteristic of distribution networks to cast the state
estimation problem into a sparse vector recovery problem. In distribution networks, voltage …

In recent years, fuzzy set theory applications have received increasing attention in various
areas of power systems such as operation, planning, and control. A number of research …

This paper addresses the extension of the microgrid concept, following a massive
integration of these active cells in power distribution networks, by adopting a coordinated …

In this paper, a distributed framework is established to evaluate and improve the small-
disturbance stability of a microgrid with inverter-based distributed generators (DGs). First, we …

In this paper we describe an analytical method for estimating uncertainty in distribution
loads, with applications to network monitoring and optimal meter placement. Our model …

State estimation is fundamental to energy management systems (EMS) employed in control
centers for transmission system networks. However, the automation of power grid requires …