Abstract
The new generation of communication networks can provide massive connectivity of devices, extremely low latency, higher capacity, and increased bandwidth. These features enable the deployment of management systems in different sectors such as energy and in a wide variety of environments such as agriculture, surveillance or home systems. In this regard, this paper proposes a self-powered adaptive and automated home energy control system enabled by the Internet of Things (IoT) technologies. The system aims to adapt the consumption patterns to the availability of self-generated renewable energy (produced from solar panels, wind-mills, etc.). Therefore, the renewable and non-renewable supply from the power grid is considered a secondary power source. As part of the proposal, this paper presents the consumption negotiation scheme for IoT devices, the management mechanisms to optimize the use of the available energy, and the related model. Given the complexity of the adaptive management process, the proposal also presents a heuristic strategy based on a prepartitioning method to obtain feasible solutions in a reasonable running time. The simulation results for offline and online scenarios validate the advantages of the proposed strategy, and the numerical improvements are presented.
Highlights
As Information and Communications Technologies (ICT) become more reliable, cheap, accessible, and are able to provide lower latency and higher bandwidth, a wide range of Internet of Things (IoT) devices are being extensively deployed worldwide
EVALUATION the proposed strategy will be validated and evaluated using a data set from real scenarios in order to show the benefits in terms of the metrics defined, specially regarding the capacity to accept more appliances consuming in the period, while smoothing the peaks of power consumed
The results obtained of metrics EAU, AR, PRES, and PLACK are compared to the baseline scenario, which has no management mechanism
Summary
As Information and Communications Technologies (ICT) become more reliable, cheap, accessible, and are able to provide lower latency and higher bandwidth, a wide range of Internet of Things (IoT) devices are being extensively deployed worldwide. The adaptive management of GEM, is summarized in the following three steps: (i) reception of information about the consumption of appliances, level of available supply (self-generated and coming from the ES), and data provided by end-user; (ii) execution of appropriate scheduling strategies; and (iii) transmission of orders to the appliances in order to handle the degree of energy consumption. Unlike a traditional or baseline scheme in which no management mechanism is applied and consumption is carried out as soon as the device is turned on, the proposed energy management system establishes a dialogue/negotiation (handshake supported by the HAN) previous the consumption In this negotiation, the existing supply, the parameters of the appliances (i.e., consumption, starting time, and duration), and the information provided by the end-user (priority levels and values of the management mechanisms) are considered.
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