Abstract
The ubiquitous power Internet of things (UPIoT) can realize the wide interconnection of all links of the power system. Based on this background, this paper proposes the price incentive agreement of distributed new energy aggregators and establishes distributed dispatching architecture. Firstly, the information transmission matrix of distributed new energy aggregators with the property of double random matrix is established, and the distributed sub-gradient algorithm based on information transmission matrix is used to solve the distributed dispatching model of new energy aggregators. Finally, the feasibility and effectiveness of the optimization model and its solution method are analyzed through simulation examples, and the information interrupt, information error that may be encountered are also discussed.
Highlights
Various types of distributed resources could be aggregated into new energy aggregators through advanced communication technologies and control strategies
Scalability and other core features of ubiquitous power IoT[3], distributed new energy optimal dispatch is a mode of assigning tasks and workloads among participants, and due to its "decentralization" features, it does not require the construction of a centralized control center and can make full use of the existing information communication architecture of the ubiquitous power IoT
This paper studies the information transmission link characteristics under the ubiquitous power Internet of Things, and proposes a distributed new energy optimal algorithm with better convergence characteristics
Summary
Various types of distributed resources could be aggregated into new energy aggregators through advanced communication technologies and control strategies. In the context of “building a fullservice ubiquitous power Internet of Things”[2], new energy aggregators’ optimal dispatch can make full use of advanced information technology and communication technology to realize interconnection and interaction of distributed new energy aggregators nodes to realize its state perception and control. According to reference [7] , for the current situation of a large number of distributed new energy access, a distributed new energy optimal method based on market control is proposed. This paper studies the information transmission link characteristics under the ubiquitous power Internet of Things, and proposes a distributed new energy optimal algorithm with better convergence characteristics. At the same time, considering the influence of information error and delay on the optimization results between the new energy aggregators nodes, it has certain theoretical breakthrough and engineering practicability
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
