Supplementary Frequency Regulation with Multiple Virtual Energy Storage System Aggregators

Abstract High intermittency renewable generation reduces the system inertial and increase system uncertainties introducing new challenges for frequency regulation of future grid, including primary, secondary, and tertiary ancillary services. Residential air-conditioning contributes to electric utility critical peak load where the frequency regulation reserves are low. This article proposes a construction to turn such thermostatic load into a virtual energy storage system (VESS) and provides an algorithm to enable ancillary frequency regulation services by coordinating multiple groups of aggregated VESS. Based on the thermal modeling of individual VESS, the response behavior can be predicated and scheduled by an aggregator control. In primary frequency regulation scheme, the VESS aggregators communicate to share the frequency deviation signals and response according to a droop strategy under constraints of room temperatures and switching time. In secondary frequency regulation scheme, the VESS aggregators communicate and compete with each other to provide supplementary spinning reserve and reduce the generation cost. The ability of VESS is quantified to share the automatic generation control (AGC) responsibility optimally. Case studies are conducted to validate the effect and feasibility of the proposed frequency regulation schemes. The results show that it can provide technical and economic benefits to both participating residences and power system operators.

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

[2]  Marko Aunedi,et al.  Economic and Environmental Benefits of Dynamic Demand in Providing Frequency Regulation , 2013, IEEE Transactions on Smart Grid.

[3]  Zhao Yang Dong,et al.  Coordinated Dispatch of Virtual Energy Storage Systems in LV Grids for Voltage Regulation , 2018, IEEE Transactions on Industrial Informatics.

[4]  Gerard Ledwich,et al.  Demand Response for Residential Appliances via Customer Reward Scheme , 2014, IEEE Transactions on Smart Grid.

[5]  Gevork B. Gharehpetian,et al.  Coordinated Control of Distributed Energy Resources and Conventional Power Plants for Frequency Control of Power Systems , 2015, IEEE Transactions on Smart Grid.

[6]  S. Ali Pourmousavi,et al.  Real-time central demand response for primary frequency regulation in microgrids , 2013, 2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT).

[7]  Vincent W. S. Wong,et al.  Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design , 2012, IEEE Transactions on Smart Grid.

[8]  Yingying Chen,et al.  Optimal Dispatch of Air Conditioner Loads in Southern China Region by Direct Load Control , 2016, IEEE Transactions on Smart Grid.

[9]  Balarko Chaudhuri,et al.  Use of Adaptive Thermal Storage System as Smart Load for Voltage Control and Demand Response , 2017, IEEE Transactions on Smart Grid.

[10]  Goran Strbac,et al.  Leaky storage model for optimal multi-service allocation of thermostatic loads , 2016 .

[11]  Ning Lu,et al.  Design Considerations for Frequency Responsive Grid FriendlyTM Appliances , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.

[12]  Ioannis Lestas,et al.  Primary Frequency Regulation With Load-Side Participation—Part I: Stability and Optimality , 2016, IEEE Transactions on Power Systems.

[13]  Jacob Østergaard,et al.  Smart Demand for Frequency Regulation: Experimental Results , 2013, IEEE Transactions on Smart Grid.

[14]  David J. Hill,et al.  Non-interruptive thermostatically controlled load for primary frequency support , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[15]  Paulo F. Ribeiro,et al.  A Predictive Control Scheme for Real-Time Demand Response Applications , 2013, IEEE Transactions on Smart Grid.

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

[17]  Kit Po Wong,et al.  Coordinated Operational Planning for Wind Farm With Battery Energy Storage System , 2015, IEEE Transactions on Sustainable Energy.

[18]  Tyrone L. Vincent,et al.  Aggregate Flexibility of Thermostatically Controlled Loads , 2015, IEEE Transactions on Power Systems.

[19]  J. Driesen,et al.  Primary and Secondary Frequency Support by a Multi-Agent Demand Control System , 2015, IEEE Transactions on Power Systems.

[20]  Hosam K. Fathy,et al.  Modeling and Control of Aggregate Air Conditioning Loads for Robust Renewable Power Management , 2013, IEEE Transactions on Control Systems Technology.

[21]  Hongming Yang,et al.  Application of plug-in electric vehicles to frequency regulation based on distributed signal acquisition via limited communication , 2013, IEEE Transactions on Power Systems.

[22]  Wei Zhang,et al.  Aggregated Modeling and Control of Air Conditioning Loads for Demand Response , 2013, IEEE Transactions on Power Systems.

[23]  Fengji LUO,et al.  Direct load control by distributed imperialist competitive algorithm , 2014 .

[24]  Goran Strbac,et al.  Advanced Control of Thermostatic Loads for Rapid Frequency Response in Great Britain , 2017, IEEE Transactions on Power Systems.

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