Abstract

Smart home appliances and applications are gaining popularity, due to the high level of service they provide to users. In a smart home, all electrical and smart appliances are interconnected together to form a special private network. Due to economic and environmental factors, energy consumption is of great concern to both users and service providers. The integration between the technological advancement in electricity grids and the environmental awareness led to the rise of smart grids. A reliable and well-grounded smart grid system can be achieved by well handling the in-home power requests. Thus, a key aspect in the design of smart grids is scheduling the start time and duration of run of electrical appliances to minimize the amount of energy consumed, as well as to force a cap on the maximum amount of energy consumed at any given time. In this paper, we present a scheduling framework for serving a request from electrical appliances in a smart home network. The network is assumed to allocate the available power to the incoming requests from appliances and serve each appliance at a fixed rate according to its initial requirements. Moreover, each request is assumed to have maximum bounds on both the tolerable start of service and the total interruption delays. The problem is formalized as a discrete scheduling problem which employs an adaptive algorithm. The proposed framework consists mainly of a scheduling mechanism formulated as a dynamic program. The paper presents two scheduling schemes: a non-preemptive and a preemptive one. We compare the performance of the proposed algorithm against other schemes from the literature. Simulation results show improvements in terms of consumed energy expressed as total saving in electricity bill cost.

Highlights

  • The advancements in modern societies are regarded in the development and deployment of electrical grids

  • The framework we proposed in this work is designed for the smart grid in the home environment, and considers common electrical appliances used in typical houses, as we outlined above

  • Smart grids are an emerging and innovative solution to overcome the limitations of traditional energy grid systems

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Summary

INTRODUCTION

The advancements in modern societies are regarded in the development and deployment of electrical grids. Smart grids are a modern form of electrical grids that are based on digital technologies to supply electricity to consumers via two-way digital communication between the grid operator and the users It enables end-users to generate electricity (usually from a renewable source) and to insert part of this generated electricity in the main electricity network. In a smart home environment, scheduling is a key operation performed by smart grids to manage energy consumption smartly It is responsible for deciding which electrical appliance (machine) will start (run) and when it will start. This work considers the integration between dynamic pricing and scheduling mechanism to achieve the main goals of the smart grid in terms of controlling and managing energy consumption in the home environment. Section Conclusions and Future Work summarizes the topic, the experiments, the conclusion of the suggested work, and future work

LITERATURE REVIEW
Limitation
CONCLUSIONS AND FUTURE WORK
Findings
DATA AVAILABILITY STATEMENT

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