Appliance-Level Flexible Scheduling for Socio-Technical Smart Grid Optimization
نویسندگان
چکیده
منابع مشابه
Atomic Scheduling of Appliance Energy Consumption in Residential Smart Grid
The current formulation of the optimal scheduling of appliance energy consumption uses as optimization variables the vectors of appliances’ scheduled energy consumption over equally-divided time slots of a day, which does not take into account the atomicity of appliances’ operations (i.e., the unsplittable nature of appliances’ operations and resulting energy consumption). In this paper, we pro...
متن کاملSocio-technical Smart Grid Optimization via Decentralized Charge Control of Electric Vehicles
Electrical vehicles (EVs) play a key role in the sustainability of the environment as they contribute to the reduction of carbon emissions and the harness of natural resources. However, when the Smart Grid powers the charging of EVs, high energy costs and power peaks challenge system reliability with risks of blackouts. This is especially the case when the Smart Grid has to moderate additional ...
متن کاملSmart Appliance Scheduling Scheme for Smart Meters using Adaptive Particle Swarm Optimization
An optimization methodology for the combination of several green technologies is introduced in this paper. These are smart meters, smart appliances, solar power systems and time-of-use (TOU) pricing. These technologies are collectively and widely utilized in the recent smart grid, which is rolling out all over the world to facilitate greener power generation and distribution. Adaptive particle ...
متن کاملSmart Grid and Optimization
With urging problem of energy and pollution, smart grid is becoming ever important. By gradually changing the actual power grid system, smart grid may evolve into different systems by means of size, elements and strategies, but its fundamental requirements and objectives will not change such as optimizing production, transmission and consumption. Studying the smart grid through modeling and sim...
متن کاملDistributed Scheduling Algorithms for the Smart Grid
In this paper, we study Demand Response (DR) problematics for different levels of information sharing in a smart grid. We propose a dynamic pricing scheme incentivizing consumers to achieve an aggregate load profile suitable for utilities, and study how close they can get to an ideal flat aggregate demand profile depending on how much information they share. When customers can share all their l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3001763