Simulation-based Strategies for Smart Demand Response

Benefits of Advanced Smart Metering for Demand Response based

Flexibility Analysis for Smart Grid Demand Response

Flexibility is a key enabler for the smart grid, required to facilitate Demand Side Management (DSM) programs, managing electrical consumption to reduce peaks, balance renewable generation and provide ancillary services to the grid. Flexibility analysis is required to identify and quantify the available electrical load of a site or building which can be shed or increased in response to a DSM si...

Incentive-compatible demand-side management for smart grids based on review strategies

Demand-side load management is able to significantly improve the energy efficiency of smart grids. Since the electricity production cost depends on the aggregate energy usage of multiple consumers, an important incentive problem emerges: self-interested consumers want to increase their own utilities by consuming more than the socially optimal amount of energy during peak hours since the increas...

Computational Models Development and Demand Response Application for Smart Grids

This paper focuses on computational models development and its applications on demand response, within smart grid scope. A prosumer model is presented and the corresponding economic dispatch problem solution is analyzed. The prosumer solar radiation production and energy consumption are forecasted by artificial neural networks. The existing demand response models are studied and a computational...

Multicast Communication for Demand Response in Smart Grid

Smart Grid-The intelligent electricity grid empowers bi-directional communication between utility and its consumers. Unlike traditional grid, smart grid encourages consumers to participate in demand response program. Demand Response program allows the consumers to reduce or shift the energy usage from peak to offpeak period. This potentially offers energy efficiency. In this paper, we have prop...