Dynamic stochastic optimization techniques are highly relevant for applications in electricity production and trading since there are uncertainty factors at different time stages (e.g., demand, spot prices) that can be described reasonably by statistical models. In this paper, two aspects of this approach are highlighted: scenario tree approximation and risk aversion. The former is a procedure ...

Energy storage systems (ESS) have recently become an indispensable solution to many operational issues related to the integration of distributed generation (DG) technologies in electricity grids. Most of the applications are in the form of power quality mitigation and management of the energies between DG and electricity grids. This paper presents a review of the present status of worldwide app...

The increasing usage of sensor-actuator networks by NCS/SCADA systems raises significant concerns about privacy. Developing novel schemes for demand response in smart electric gird is an increasingly active research area. These schemes aim to control/flatten demand curves and shift consumption times to the off-peak periods, which allows to to improve efficiency. Indeed, higher volatility of use...

A new scheduling method is proposed to manage efficiently the integration of renewable sources in microgrids (MGs) with energy storage systems (ESSs). The purpose of this work is to take into account the main stress factors influencing the ageing mechanisms of a battery energy storage system (BESS) in order to make an optimal dispatch of resources in the microgrid and enhance the storage system...

There are a number of state and utility policies that reduce total carbon emissions, while shifting emissions from other sectors to power plants. The most significant are policies to expand the use of electric vehicles (EVs) 1 . Increased deployment of EVs will increase electricity consumption and thus will generally increase carbon emissions by utilities but in most states will reduce total ca...

For many years, electricity distribution companies have used sustained interruption indices as indicators of the reliability of service provided on their systems. Today, however, many electricity consumers are adversely affected by more subtle voltage disturbances such as sags and swells. Many utilities are well aware of such service quality concerns and are implementing extensive monitoring sy...

Electricity industries throughout the world have been using load profiles for many years. Previously, in a regulated environment, load profiles have been employed to provide information for forecasting, system planning and demand side planning. However, in the deregulated environment, load profiles have become more significant. The determination of customer load profile may provide utility comp...

For more than a decade, electricity industries have been undergoing regulatory reform worldwide, with the general aim of improving economic efficiency. In many places, these changes have culminated in the appearance of a wholesale power market. There are various, sometimes contradictory, conclusions about the performance of such restructured electricity markets. In this new context, the operati...

This paper proposes a swarm intelligence long-term hedging tool to support electricity producers in competitive electricity markets. This tool investigates the long-term hedging opportunities available to electric power producers through the use of contracts with physical (spot and forward) and financial (options) settlement. To find the optimal portfolio the producer risk preference is stated ...

Solar energy is clean, renewable and its decentralized character is appropriate well at the scattered state of the zones with low density of population. The cost of electricity from the solar array system is more expensive than the electricity from the utility grid. So, it is necessary to operate the PV system at maximum efficiency by tracking maximum power point at any environmental condition....