Wireless Sensor Networks for Cost-Efficient Residential Energy Management in the Smart Grid

Wireless sensor networks (WSNs) will play a key role in the extension of the smart grid towards residential premises, and enable various demand and energy management applications. Efficient demand-supply balance and reducing electricity expenses and carbon emissions will be the immediate benefits of these applications. In this paper, we evaluate the performance of an in-home energy management (iHEM) application. The performance of iHEM is compared with an optimization-based residential energy management (OREM) scheme whose objective is to minimize the energy expenses of the consumers. We show that iHEM decreases energy expenses, reduces the contribution of the consumers to the peak load, reduces the carbon emissions of the household, and its savings are close to OREM. On the other hand, iHEM application is more flexible as it allows communication between the controller and the consumer utilizing the wireless sensor home area network (WSHAN). We evaluate the performance of iHEM under the presence of local energy generation capability, prioritized appliances, and for real-time pricing. We show that iHEM reduces the expenses of the consumers for each case. Furthermore, we show that packet delivery ratio, delay, and jitter of the WSHAN improve as the packet size of the monitoring applications, that also utilize the WSHAN, decreases.

[1]  Frank C. Lambert,et al.  A survey on communication networks for electric system automation , 2006, Comput. Networks.

[2]  Yi Yang,et al.  A Survey on Technologies for Implementing Sensor Networks for Power Delivery Systems , 2007, 2007 IEEE Power Engineering Society General Meeting.

[3]  David E. Culler,et al.  Transmission of IPv6 Packets over IEEE 802.15.4 Networks , 2007, RFC.

[4]  G. Manimaran,et al.  Application of Sensor Network for Secure Electric Energy Infrastructure , 2007, IEEE Transactions on Power Delivery.

[5]  D.G. Infield,et al.  Potential for Domestic Dynamic Demand-Side Management in the UK , 2007, 2007 IEEE Power Engineering Society General Meeting.

[6]  Thomas Garrity,et al.  Getting Smart , 2008, IEEE Power and Energy Magazine.

[7]  Stefano Galli,et al.  Recent Developments in the Standardization of Power Line Communications within the IEEE , 2008, IEEE Communications Magazine.

[8]  Hyo-Sik Yang,et al.  A survey of communication network paradigms for substation automation , 2008, 2008 IEEE International Symposium on Power Line Communications and Its Applications.

[9]  D. Fischer,et al.  Developing a communication infrastructure for the Smart Grid , 2009, 2009 IEEE Electrical Power & Energy Conference (EPEC).

[10]  Spyridon L. Tompros,et al.  Enabling applicability of energy saving applications on the appliances of the home environment , 2009, IEEE Network.

[11]  Jen-Hao Teng,et al.  Development of a smart power meter for AMI based on ZigBee communication , 2009, 2009 International Conference on Power Electronics and Drive Systems (PEDS).

[12]  Gerard J. M. Smit,et al.  Management and Control of Domestic Smart Grid Technology , 2010, IEEE Transactions on Smart Grid.

[13]  Bob Heile,et al.  Smart grids for green communications [Industry Perspectives] , 2010 .

[14]  Farrokh Rahimi,et al.  Demand Response as a Market Resource Under the Smart Grid Paradigm , 2010, IEEE Transactions on Smart Grid.

[15]  H. T. Mouftah,et al.  TOU-Aware Energy Management and Wireless Sensor Networks for Reducing Peak Load in Smart Grids , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[16]  Robert Schober,et al.  Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid , 2010, 2010 Innovative Smart Grid Technologies (ISGT).

[17]  Hamed Mohsenian Rad,et al.  Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments , 2010, IEEE Transactions on Smart Grid.

[18]  M. Erol-Kantarci,et al.  The impact of smart grid residential energy management schemes on the carbon footprint of the household electricity consumption , 2010, 2010 IEEE Electrical Power & Energy Conference.

[19]  Hamidreza Zareipour,et al.  Wireless network performance for residential demand-side participation , 2010, 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe).

[20]  Alfredo Vaccaro,et al.  The role of pervasive and cooperative Sensor Networks in Smart Grids communication , 2010, Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference.

[21]  Burak Kantarci,et al.  Greening the availability design of optical WDM networks , 2010, 2010 IEEE Globecom Workshops.

[22]  Gerhard P. Hancke,et al.  Opportunities and Challenges of Wireless Sensor Networks in Smart Grid , 2010, IEEE Transactions on Industrial Electronics.

[23]  H. T. Mouftah,et al.  Using wireless sensor networks for energy-aware homes in smart grids , 2010, The IEEE symposium on Computers and Communications.

[24]  Iain MacGill,et al.  Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services , 2010, IEEE Transactions on Smart Grid.

[25]  H. T. Mouftah,et al.  Wireless multimedia sensor and actor networks for the next generation power grid , 2011, Ad Hoc Networks.