A decentralized algorithm for optimal resource allocation in smartgrids with communication network externalities

Abstract

We introduce a framework for optimal resource allocation in smart grids. We consider two components of the smart grid; the power distribution network and the data communication network. By defining suitable utility functions, the power and bandwidth resources are optimally allocated. This requires the solution of the, so called, local public goods problem, in mathematical economics terminology. We propose an iterative, distributed algorithm for its solution. The algorithm is scalable for deployment in large networks since it requires only O(N ) messages per network user per iteration, where N is the number of users. Moreover, it is guaranteed to converge, does not require revelation of private information from each user and all algorithm actions can be realized by programmable smart devices of the smart grid.

A Survey of Self-Organization Mechanisms in Multiagent Systems

“…Such physical systems include sensor networks, multi-robot systems, grid computing, manufacturing control and so on, where self-organisation is highly desirable to increase the autonomy, scalability and robustness of these physical systems. Likewise, self-organising resource allocation could also concentrate on specific physical systems, e.g., sensor networks [158] and smart grid [159]. These physical systems may be open and dynamic and are difficult to manage or organise using existing non-self-organisation techniques.…”

A closed-loop context aware data acquisition and resource allocation framework for dynamic data driven applications systems (DDDAS) on the cloud

“…Prior Work on Rate Allocation: A large volume of prior work has studied various resource optimization problems in the context of different kinds of sensor network applications such as smart grid, vehicle tracking, target tracking, and environmental monitoring [10,11]. Among those, one group of research looked into the problem of maximizing the network lifetime by minimizing energy consumption in sensor networks.…”

Power Quality Improvement in Distribution Grids via Real-Time Smart Exploitation of Electric Vehicles

“…In this respect, [19] analyzed the rising interdependencies between the future power grid featuring increased dependence on ICT, the ICT network, and the future transportation network focusing more on electrified mobility. Moreover, a scalable method for optimal allocation of the power and bandwidth resources in the power and communication networks has been described in [20]. However, from an experimental point of view, in a laboratory scale, [21] shows a test set-up in which the implemented intelligent energy management (iEMS), running in Labview on a computer, exchanges data with the vehicle via the ZigBee communication protocol.…”