A review of demand response techniques in smart grids

The worldwide installation of renewable energy generators has rendered the conventional frequency regulation techniques insufficient. However, smart grid in the recent years has shown great potential in regulating frequency by changing end-user demand so as to match supply. A large and growing body of literature in the past has investigated load scheduling and frequency deviation as two separate problems and proposed centralized or decentralized control techniques for eliminating power mismatch, that result in complex computational tasks and huge economic burden. Much of the research thus far fails to account for factors such as random customer demand, storage devices and various load groups in a single control model. The paper reviews previously presented demand scheduling and frequency regulation techniques as well as gives future directions for introducing a new, improved demand control system.

[1]  Phani Chavali,et al.  A Distributed Algorithm of Appliance Scheduling for Home Energy Management System , 2014, IEEE Transactions on Smart Grid.

[2]  Marina Thottan,et al.  A two-stage market model for microgrid power transactions via aggregators , 2011, Bell Labs Technical Journal.

[3]  M. P. Moghaddam,et al.  Demand response modeling considering Interruptible/Curtailable loads and capacity market programs , 2010 .

[4]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.

[5]  Mengmeng Yu,et al.  Supply–demand balancing for power management in smart grid: A Stackelberg game approach , 2016 .

[6]  Alireza Zakariazadeh,et al.  Day-ahead resource scheduling of a renewable energy based virtual power plant , 2016 .

[7]  P. Siano,et al.  Assessing the benefits of residential demand response in a real time distribution energy market , 2016 .

[8]  Lawrence V. Snyder,et al.  Control Mechanisms for Residential Electricity Demand in SmartGrids , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[9]  Anna Scaglione,et al.  Coordinated home energy management for real-time power balancing , 2012, 2012 IEEE Power and Energy Society General Meeting.

[10]  David Angeli,et al.  A Stochastic Approach to “Dynamic-Demand” Refrigerator Control , 2012, IEEE Transactions on Control Systems Technology.

[11]  Xiuli Wang,et al.  Residential Appliances Direct Load Control in Real-Time Using Cooperative Game , 2016, IEEE Transactions on Power Systems.

[12]  Anthony Papavasiliou,et al.  Market-based control mechanisms for electric power demand response , 2010, 49th IEEE Conference on Decision and Control (CDC).

[13]  Abdalkarim Awad,et al.  On the profit enhancement and state estimation services in the smart grid , 2014, ISGT 2014.

[14]  Yu Zhang,et al.  Centralized and decentralized control for demand response , 2011, ISGT 2011.

[15]  Damian Flynn,et al.  Analysing the impact of large-scale decentralised demand side response on frequency stability , 2016 .

[16]  Abdalkarim Awad,et al.  Privacy Aware Demand Response and Smart Metering , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[17]  Kaveh Dehghanpour,et al.  Electrical demand side contribution to frequency control in power systems: a review on technical aspects , 2015 .

[18]  Na Li,et al.  Optimal demand response based on utility maximization in power networks , 2011, 2011 IEEE Power and Energy Society General Meeting.

[19]  Goran Strbac,et al.  Decentralized Control of Thermostatic Loads for Flexible Demand Response , 2015, IEEE Transactions on Control Systems Technology.

[20]  Yi-Ping Phoebe Chen,et al.  True real time pricing and combined power scheduling of electric appliances in residential energy management system , 2016 .

[21]  S. Ali Pourmousavi,et al.  Real-Time Central Demand Response for Primary Frequency Regulation in Microgrids , 2012, IEEE Transactions on Smart Grid.

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

[23]  Hamidreza Zareipour,et al.  Home energy management systems: A review of modelling and complexity , 2015 .

[24]  D.G. Infield,et al.  Stabilization of Grid Frequency Through Dynamic Demand Control , 2007, IEEE Transactions on Power Systems.

[25]  Anna Scaglione,et al.  Real-Time Power Balancing Via Decentralized Coordinated Home Energy Scheduling , 2013, IEEE Transactions on Smart Grid.

[26]  H. Vincent Poor,et al.  Scheduling Power Consumption With Price Uncertainty , 2011, IEEE Transactions on Smart Grid.

[27]  Pierluigi Siano,et al.  Demand response and smart grids—A survey , 2014 .

[28]  Chen Chen,et al.  An innovative RTP-based residential power scheduling scheme for smart grids , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[29]  H. Hindi,et al.  Coordinating regulation and demand response in electric power grids using multirate model predictive control , 2011, ISGT 2011.

[30]  Mohammed H. Albadi,et al.  A summary of demand response in electricity markets , 2008 .

[31]  Ufuk Topcu,et al.  Frequency-based load control in power systems , 2012, 2012 American Control Conference (ACC).

[32]  Conny Bakker,et al.  Insights into the design, use and implementation of home energy management systems , 2012 .

[33]  Wolf-Gerrit Fruh,et al.  Evolution of primary frequency control requirements in Great Britain with increasing wind generation , 2015 .

[34]  Richard T. B. Ma,et al.  Distributed Frequency Control in Smart Grids via Randomized Demand Response , 2014, IEEE Transactions on Smart Grid.

[35]  Ning Lu,et al.  Appliance Commitment for Household Load Scheduling , 2011, IEEE Transactions on Smart Grid.

[36]  George Kesidis,et al.  Incentive-Based Energy Consumption Scheduling Algorithms for the Smart Grid , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[37]  Zhao Xu,et al.  Demand as Frequency Controlled Reserve , 2011, IEEE Transactions on Power Systems.

[38]  Vincent W. S. Wong,et al.  Optimal Real-Time Pricing Algorithm Based on Utility Maximization for Smart Grid , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[39]  Georgios B. Giannakis,et al.  Cooperative multi-residence demand response scheduling , 2011, 2011 45th Annual Conference on Information Sciences and Systems.

[40]  Lazaros Gkatzikis,et al.  The Role of Aggregators in Smart Grid Demand Response Markets , 2013, IEEE Journal on Selected Areas in Communications.