Present trends in the development of electricity systems are expected to generate a growing need for flexibility in decentralised resources, including demand response. In order to enable decentralised actors to create value, the organisation of markets and incentives should incorporate these new...

With the development of demand response (DR) technologies and increasing electricity demand, dynamic pricing has been a popular topic in many countries. This paper evaluates various dynamic pricing programs in the U.S. and Europe, and provides insights into various aspects including risks and...

Traditional electricity grid offers demand side management (DSM) programs for industrial plants and commercial buildings; there is no such program for residential consumers because of the lack of effective automation tools and efficient information and communication technologies (ICTs). Smart...

The main purpose of this study is to investigate, by using regressions analysis, the DR effect on households' electricity consumption. We employ three kinds of estimation models: a pooled OLS model, a random effect model, and a fixed effect model. Major results are as follows. First, the DR...

Residential Thermostatically Controlled Load (TCLs) such as Air Conditioners (ACs), heat pumps, water heaters, and refrigerators have an enormous thermal storage potential for providing regulation reserve to the grid. In this paper, we study the potential resource and economic analysis of TCLs...

The growing demand for electricity, coupled with increased efficiency requirements, creates new opportunities for the development of demand-side management systems. Here we describe an approach for load allocation among different classes of device. We adopt the concept of strategic choice to...

The main purpose of this study is to investigate the difference between incentive effects and physical condition effects in electricity saving behaviors of households, by applying stochastic frontier models for the demand function. As for incentives, we consider both internal incentives such as...

To reduce the influence of wind power output uncertainty on power system stability, demand response (DRPs) and energy storage systems (ESSs) are introduced while solving scheduling optimization problems. To simulate wind power scenarios, this paper uses Latin Hypercube Sampling (LHS) to generate...

This paper presents a methodology to systematically formulate a hybrid renewable energy system (HRES), which consists of solar, wind and diesel generator as a backup resource as well as battery storage, from the preliminary design stage to the optimal operation. Detailed modeling of each system...

As a recently increasing trend among different applications of smart grid vision, smart households as a new implementation area of demand response (DR) strategies have drawn more attention both in research and in engineering practice. On the other hand, optimum sizing of renewable energy based...