Optimized Day-Ahead Pricing With Renewable Energy Demand-Side Management for Smart Grids
- 20 April 2016
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Internet of Things Journal
- Vol. 4 (2), 374-383
- https://doi.org/10.1109/jiot.2016.2556006
Abstract
Internet of Things (IoT) has recently emerged as an enabling technology for context-aware and interconnected “smart things.” Those smart things along with advanced power engineering and wireless communication technologies have realized the possibility of next generation electrical grid, smart grid, which allows users to deploy smart meters, monitoring their electric condition in real time. At the same time, increased environmental consciousness is driving electric companies to replace traditional generators with renewable energy sources which are already productive in user's homes. One of the most incentive ways is for electric companies to institute electricity buying-back schemes to encourage end users to generate more renewable energy. Different from the previous works, we consider renewable energy buying-back schemes with dynamic pricing to achieve the goal of energy efficiency for smart grids. We formulate the dynamic pricing problem as a convex optimization dual problem and propose a day-ahead time-dependent pricing scheme in a distributed manner which provides increased user privacy. The proposed framework seeks to achieve maximum benefits for both users and electric companies. To our best knowledge, this is one of the first attempts to tackle the time-dependent problem for smart grids with consideration of environmental benefits of renewable energy. Numerical results show that our proposed framework can significantly reduce peak time loading and efficiently balance system energy distribution.Keywords
Funding Information
- Excellent Research Projects of National Taiwan University (105R890822)
- Ministry of Science and Technology (103-2221-E-002-142-MY3, 104-3115-E-002-005)
- Information and Communications Research Laboratories of the Industrial Technology Research Institute
- Institute for Information Industry
- Delta Electronics
This publication has 24 references indexed in Scilit:
- On the Outage Probability of Device-to-Device-Communication-Enabled Multichannel Cellular Networks: An RSS-Threshold-Based PerspectiveIEEE Journal on Selected Areas in Communications, 2015
- Autonomous Demand Side Management Based on Energy Consumption Scheduling and Instantaneous Load Billing: An Aggregative Game ApproachIEEE Transactions on Smart Grid, 2014
- Demand-Side Bidding Strategy for Residential Energy Management in a Smart Grid EnvironmentIEEE Transactions on Smart Grid, 2014
- GTES: An Optimized Game-Theoretic Demand-Side Management Scheme for Smart GridIEEE Systems Journal, 2013
- Advanced Demand Side Management for the Future Smart Grid Using Mechanism DesignIEEE Transactions on Smart Grid, 2012
- Toward secure targeted broadcast in smart gridIEEE Communications Magazine, 2012
- Optimized Day-Ahead Pricing for Smart Grids with Device-Specific Scheduling FlexibilityIEEE Journal on Selected Areas in Communications, 2012
- Optimal demand response based on utility maximization in power networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Toward intelligent machine-to-machine communications in smart gridIEEE Communications Magazine, 2011
- Convex OptimizationPublished by Cambridge University Press (CUP) ,2004