Impact of Scheduling Flexibility on Demand Profile Flatness and User Inconvenience in Residential Smart Grid System
نویسندگان
چکیده
The objective of this paper is to study the impact of scheduling flexibility on both demand profile flatness and user inconvenience in residential smart grid systems. Temporal variations in energy consumption by end users result in peaks and troughs in the aggregated demand profile. In a residential smart grid, some of these peaks and troughs can be eliminated through appropriate load balancing algorithms. However, load balancing requires user participation by allowing the grid to re-schedule some of their loads. In general, more scheduling flexibility can result in more demand profile flatness, however the resulting inconvenience to users would also increase. In this paper, our objective is to help the grid determine an appropriate amount of scheduling flexibility that it should demand from users, based on which, proper incentives can be designed. We consider three different types of scheduling flexibility (delay, advance scheduling and flexible re-scheduling) in flexible loads and develop both optimal and sub-optimal scheduling algorithms. We discuss their implementation in centralized and distributed manners. We also identify the existence of a saturation point. Beyond this saturation point, any increase in scheduling flexibility does not significantly affect the flatness of the demand profile while user inconvenience continues to increase. Moreover, full participation of all the households is not required since increasing user participation only marginally increases demand profile flatness. Energies 2013, 6 6609
منابع مشابه
Automated Energy Scheduling Algorithms for Residential Demand Response Systems
Demand response technology is a key technology for distributing electricity tasks in response to electricity prices in a smart grid system. In the current demand response research, there has been much demand for an automated energy scheduling scheme that uses smart devices for residential customers in the smart grid. In this paper, two automated energy scheduling schemes are proposed for reside...
متن کاملمدیریت انرژی بهینه در ساختمان های هوشمند با قابلیت دادوستد انرژی
In this paper, has been proposed the collaboration between smart buildings as a solution for improving the energy efficiency and increasing the contribution of the consumers in energy consumption management of residential buildings integrated with micro-grid. In the proposed model, the scheduling of power consumption in smart building and the optimal operation of distributed energy resources th...
متن کاملLearning-Based Energy Management System for Scheduling of Appliances inside Smart Homes
Improper designs of the demand response programs can lead to numerous problems such as customer dissatisfaction and lower participation in these programs. In this paper, a home energy management system is designed which schedules appliances of smart homes based on the user’s specific behavior to address these issues. Two types of demand response programs are proposed for each house which are sh...
متن کاملIncorporation of Demand Response Programs and Wind Turbines in Optimal Scheduling of Smart Distribution Networks: A Case Study
Smart distribution networks (SDNs) plays a significant role in future power networks. Accordingly, the optimal scheduling of such networks, which include planning of consumers and production sections, inconsiderably concerned in recent research studies. In this paper, the optimal planning of energy and reserve of SDNs has been studied. Technical constraints of distribution network and power gen...
متن کاملOptimal Scheduling of CHP-based Microgrid Under Real-Time Demand Response Program
Microgrid (MG) is considered as a feasible solution to integrate the distributed energy sources. In this paper, optimal scheduling of a grid-connected MG is investigated considering different power sources as combined heat and power (CHP) units, only power and heat generating units, and battery storage systems. Two different feasible operating regions are considered for the CHP units. In additi...
متن کامل