Publications and Research
Document Type
Book Chapter or Section
Publication Date
2021
Abstract
Customers’ participation is a critical factor for inte-grating the distributed energy resources via demand response and demand-side management programs, especially when customers become prosumers. Incentives need to be delivered by the energy management service to attract prosumers to operate their distributed energy resources and electricity loads grid-friendly actively. The cloud-based energy management service enables virtual trading for customers within the same community to minimize cost and smooth the fluctuation. With the potential fast-growing number of service providers and customers, the needs exist for efficiently collaborating across multiple service providers and customers. This paper proposes the distributed cross-community collaboration (XCC) for the cloud-based energy management service to enable collaboration across multiple com-munities and service providers. The XCC can efficiently handle large-scale variables and data with various allocated computing resources and is formulated as an alternating direction method of multipliers optimization problem. This paper also introduces a cross-community adjustment to avoid the overwhelmed ex-changed data and computations among multiple communities under uncertainty. Performances are evaluated in experiments with the discussions.
Comments
Accepted mss. of Chen, Y. W., & Chang, J. M. (2021, June). Distributed Cross-Community Collaboration for the Cloud-Based Energy Management Service. In 2021 5th International Conference on Smart Grid and Smart Cities (ICSGSC) (pp. 160-168). © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.