Real-Time Central Demand Response for Primary Frequency Regulation in Microgrids

Providing ancillary services for future smart microgrid can be a challenging task because of lack of conventional automatic generation control (AGC) and spinning reserves, and expensive storage devices. In addition, strong motivation to increase the penetration of renewable energy in power systems, particularly at the distribution level, introduces new challenges for frequency and voltage regulation. Thus, increased attention has been focused on demand response (DR), especially in the smart grid environment, where two-way communication and customer participation are part of. This paper presents a comprehensive central DR algorithm for frequency regulation, while minimizing the amount of manipulated load, in a smart microgrid. Simulation studies have been carried out on an IEEE 13-bus standard distribution system operating as a microgrid with and without variable wind generation. Simulation results show that the proposed comprehensive DR control strategy provides frequency (and consequently voltage) regulation as well as minimizing the amount of manipulated responsive loads in the absence/presence of wind power generation.

[1]  M.H. Nehrir,et al.  Providing ancillary services through demand response with minimum load manipulation , 2011, 2011 North American Power Symposium.

[2]  Kun-Yuan Huang,et al.  A model reference adaptive control strategy for interruptible load management , 2004, IEEE Transactions on Power Systems.

[3]  D. Trudnowski,et al.  Power-System Frequency and Stability Control using Decentralized Intelligent Loads , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.

[4]  G.C. Heffner,et al.  Innovative approaches to verifying demand response of water heater load control , 2006, IEEE Transactions on Power Delivery.

[5]  Reza Iravani,et al.  Voltage-Sourced Converters in Power Systems: Modeling, Control, and Applications , 2010 .

[6]  D. T. Nguyen,et al.  Pool-Based Demand Response Exchange—Concept and Modeling , 2011 .

[7]  François Bouffard,et al.  Decentralized Demand-Side Contribution to Primary Frequency Control , 2011, IEEE Transactions on Power Systems.

[8]  D. Kirschen,et al.  A Survey of Frequency and Voltage Control Ancillary Services—Part I: Technical Features , 2007, IEEE Transactions on Power Systems.

[9]  M. Klobasa Analysis of demand response and wind integration in Germany's electricity market , 2010 .

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

[11]  Juan M. Morales,et al.  Real-Time Demand Response Model , 2010, IEEE Transactions on Smart Grid.

[12]  P.W. Lehn,et al.  Micro-grid autonomous operation during and subsequent to islanding process , 2005, IEEE Transactions on Power Delivery.

[13]  M.H. Nehrir,et al.  Demand response for smart microgrid: Initial results , 2011, ISGT 2011.

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

[15]  J. Oyarzabal,et al.  A Direct Load Control Model for Virtual Power Plant Management , 2009, IEEE Transactions on Power Systems.

[16]  Reza Iravani,et al.  Voltage-Sourced Converters in Power Systems , 2010 .

[17]  Jay Apt,et al.  An economic welfare analysis of demand response in the PJM electricity market , 2008 .

[18]  L. Olmos,et al.  Demand Response in an Isolated System With High Wind Integration , 2012, IEEE Transactions on Power Systems.

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

[20]  N. Lu,et al.  Control strategies of thermostatically controlled appliances in a competitive electricity market , 2005, IEEE Power Engineering Society General Meeting, 2005.

[21]  M.H. Nehrir,et al.  A Hybrid Islanding Detection Technique Using Voltage Unbalance and Frequency Set Point , 2007, IEEE Transactions on Power Systems.

[22]  Pedro Faria,et al.  Demand Response Management in Power Systems Using Particle Swarm Optimization , 2013, IEEE Intelligent Systems.

[23]  Masood Parvania,et al.  Integrating Load Reduction Into Wholesale Energy Market With Application to Wind Power Integration , 2012, IEEE Systems Journal.

[24]  N. Navid-Azarbaijani,et al.  Realizing load reduction functions by aperiodic switching of load groups , 1996 .

[25]  Alec Brooks,et al.  Demand Dispatch - Using Real-Time Control of Demand to help Balance Generation and Load , 2010 .

[26]  Farrokh Aminifar,et al.  Load commitment in a smart home , 2012 .

[27]  D. Westermann,et al.  Demand Matching Wind Power Generation With Wide-Area Measurement and Demand-Side Management , 2007, IEEE Transactions on Energy Conversion.

[28]  Jose Medina,et al.  Demand Response and Distribution Grid Operations: Opportunities and Challenges , 2010, IEEE Transactions on Smart Grid.

[29]  M.H. Nehrir,et al.  Voltage Control of Aggregate Electric Water Heater Load for Distribution System Peak Load Shaving Using Field Data , 2007, 2007 39th North American Power Symposium.

[30]  Hanne Sæle,et al.  Demand Response From Household Customers: Experiences From a Pilot Study in Norway , 2011, IEEE Transactions on Smart Grid.