Efficient and Autonomous Energy Management Techniques for the Future Smart Homes

Basit, Abdul; Sidhu, Guftaar Ahmad Sardar; Mahmood, Anzar; Gao, Feifei

doi:10.1109/tsg.2015.2504560

Cited by 82 publications

(68 citation statements)

References 21 publications

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“…IoT can be applied to all these subsystems and appears as a promising solution for enhancing them, making the IoT a key element for SG. In the area of power generation, the IoT can be used for the monitoring and controlling of energy consumption, units, equipment, gas emissions and pollutants discharge, power use/production prediction, energy storage and power connection, as well as for managing distributed power plans, pumped storage, wind power, biomass power and photo-voltaic power plants [88]- [90]. In the area of power transmission, the IoT can be used for the monitoring and control of transmission lines and substations, as well as for transmission tower protection [88], [89].…”

Section: Integration Of the Iot Into A Sgmentioning

confidence: 99%

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

et al. 2019

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Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoTaided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems. energy in accordance with the needs of the consumers within the constraints of power systems. Nearly, all the generation, transmission and distribution of electrical energy is owned by the utility companies who provide electrical energy to consumers and bill them accordingly to recover their costs and earn profit.The traditional power grid worked very well from its inception in 1870 until 1970 [1]. Even though the consumers' demand for energy grew exponentially, it was still rather predictable. However, there has been a dramatic change in the nature of electrical energy consumption since 1970, as the load of electronic devices has become the fastest growing element of the total electricity demand and new sources of high electricity consumption have been developed, such as Electric Vehicles (EVs). The power grids endure a significant wastage of energy due to a number of factors, such as consumers' inefficient appliances and lack of smart technology, inefficient routing and dispensation of electrical energy, unreliable communication and monitoring, and most importantly, lack of a mechanism to store the generated electrical energy [2]- [4]. Furthermore, power grids face some other challenges as well, including growing energy demand, reliability, security, emerging renewable energy sources and aging infrastructure problems to name a few.In order to solve these challenges, the Smart Grid (SG) paradigm has appeared as a promising solution with a variety of information and communication technologies. Such technologies can improve the effectiveness, efficiency, reliability, security, sustainability, stability and scalability of the traditional power grid [5]. SG differs from traditional power grids in many aspects. For instance, SG offers a bi-directional communicat...

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Section: Integration Of the Iot Into A Sgmentioning

confidence: 99%

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

et al. 2019

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“…Plugging (18) into (20), although the optimal transmission rate R * can be computed numerically through one dimensional search, it is lacking of clear insights. In this paper, we aim to derive the optimal rate in closed-form and extract clear insights for energy-efficient optimization.…”

Section: Optimal Rate Selectionmentioning

confidence: 99%

“…Proof: Please see Appendix E. It means that when QoS constraints are considered, the maximal energy efficiency which can be achieved by Type I HARQ is B. HARQ-CC 1) Optimal Rate: Similarly to Section IV-A, with the optimal powers P * 1 , · · · , P * L , the optimal target outage probability α * and the definition in (5), the energy efficiency of HARQ-CC in (20) can be rewritten as…”

Section: Optimal Rate and Optimal Energy Efficiencymentioning

confidence: 99%

Energy-Efficient Optimization for HARQ Schemes Over Time-Correlated Fading Channels

Shi

Yang

et al. 2018

IEEE Trans. Veh. Technol.

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Abstract-Energy efficiency of three common hybrid automatic repeat request (HARQ) schemes including Type I HARQ, HARQ with chase combining (HARQ-CC) and HARQ with incremental redundancy (HARQ-IR), is analyzed and joint power allocation and rate selection to maximize the energy efficiency is investigated in this paper. Unlike prior literature, time-correlated fading channels is considered and two widely concerned quality of service (QoS) constraints, i.e., outage and goodput constraints, are also considered in the optimization, which further differentiates this work from prior ones. Using a unified expression of asymptotic outage probabilities, optimal transmission powers and optimal rate are derived in closed-forms to maximize the energy efficiency while satisfying the QoS constraints. These closed-form solutions then enable a thorough analysis of the maximal energy efficiencies of various HARQ schemes. It is revealed that with low outage constraint, the maximal energy efficiency achieved by Type I HARQ is 1 4 ln 2 bits/J, while HARQ-CC and HARQ-IR can achieve the same maximal energy efficiency as κ∞ 4 ln 2 bits/J where κ∞ = 1.6617. Moreover, time correlation in the fading channels has a negative impact on the energy efficiency, while large maximal allowable number of transmissions is favorable for the improvement of energy efficiency. The effectiveness of the energy-efficient optimization is verified by extensive simulations and the results also show that HARQ-CC can achieve the best tradeoff between energy efficiency and spectral efficiency among the three HARQ schemes.Index Terms-Energy efficiency, time-correlated fading channels, hybrid automatic repeat request, power allocation and rate selection.

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“…It encourages the customers to shift their loads in favor of reducing the overall electricity cost [10,11]. The DSM programs…”

Section: Introductionmentioning

confidence: 99%

Achieving Cost Minimization and Fairness in Multi-Supplier Smart Grid Environment

et al. 2018

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Abstract:In this paper, we study the energy management techniques in the smart grid with multiple energy providers. We seek to minimize the electricity cost. In this paper, the desired objectives are achieved through scheduling of different consumers to different utilities at different time slots. We consider a practical system where multiple users can be allocated to a single utility, but, a user cannot be assigned to more than one utility. As a first goal, we formulate a sum cost minimization problem subject to independent generation capacity of each utility. A dual decomposition approach is exploited to find an efficient solution where the sub-gradient approach is adopted to update the dual variables. Later, a min-max based optimization framework is adopted to achieve the fairness among different customers. Moreover, suboptimal schemes are also designed to reduce the computational complexity. Simulation results are presented to validate the performance of the proposed solutions.

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Efficient and Autonomous Energy Management Techniques for the Future Smart Homes

Cited by 82 publications

References 21 publications

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Energy-Efficient Optimization for HARQ Schemes Over Time-Correlated Fading Channels

Achieving Cost Minimization and Fairness in Multi-Supplier Smart Grid Environment

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