Potential of data centers for fast frequency response services in synchronously isolated power systems

Abstract Grid frequency support is one of the most challenging issues in wind rich islanded power systems. This problem becomes critical with the displacement of synchronous generators and their associated services (i.e., inertia and primary operating reserve). The services that are lost can be replaced by other sources, such as demand response schemes to enhance the resiliency and security of power system operations. Demand response based on internet data centers is expected to become an increasingly important asset to make a significant contribution to frequency ancillary services. To exploit this resource, internet service companies are expected to combine the capabilities of a variety of data centers to participate as a single provider similar to a virtual power plant. In this context, this work develops a novel framework for cooperative participation of data centers delay-tolerant workloads and backup power supply units to provide effective fast frequency response service. This is achieved by employing the model predictive controller to initiate reference signals to data center resources while respecting device operating conditions and constraints. Various case studies are run on the modified linear model of the 39 Bus system via dynamic simulations for the projected 75 % system non-synchronous penetration. Simulation results demonstrate the potential of different data center configurations to stabilize grid frequency during signal delays and severe cascade failures. The analysis shows that the proposed framework is critical to the adoption of renewable energy and reduces the requirement for an expensive spinning reserve used in a typical power system.

[1]  Mark O'Malley,et al.  A new methodology for the provision of reserve in an isolated power system , 1999 .

[2]  Mohammad Shahidehpour,et al.  Aggregated Model of Data Network for the Provision of Demand Response in Generation and Transmission Expansion Planning , 2021, IEEE Transactions on Smart Grid.

[3]  Dirk Müller,et al.  Data Center Control Strategy for Participation in Demand Response Programs , 2018, IEEE Transactions on Industrial Informatics.

[4]  Gabriela Hug,et al.  MPC-Based Fast Frequency Control of Voltage Source Converters in Low-Inertia Power Systems , 2020, IEEE Transactions on Power Systems.

[5]  Mohammadreza Toulabi,et al.  Delay Compensation of Demand Response and Adaptive Disturbance Rejection Applied to Power System Frequency Control , 2020, IEEE Transactions on Power Systems.

[6]  Lexuan Meng,et al.  Fast Frequency Response From Energy Storage Systems—A Review of Grid Standards, Projects and Technical Issues , 2020, IEEE Transactions on Smart Grid.

[7]  Yingchen Zhang,et al.  Zonal Inertia Constrained Generator Dispatch Considering Load Frequency Relief , 2020, IEEE Transactions on Power Systems.

[8]  Hassan Bevrani,et al.  Robust Power System Frequency Control , 2009 .

[9]  Nanpeng Yu,et al.  Frequency regulation service provision in data center with computational flexibility , 2019, Applied Energy.

[10]  Michael S. Mazzola,et al.  Virtual Inertia Emulator-Based Model Predictive Control for Grid Frequency Regulation Considering High Penetration of Inverter-Based Energy Storage System , 2020, IEEE Transactions on Sustainable Energy.

[11]  Syed Islam,et al.  Time-Delay Analysis of Wide-Area Voltage Control Considering Smart Grid Contingences in a Real-Time Environment , 2018, IEEE Transactions on Industrial Informatics.

[12]  Josiah McClurg,et al.  Fast demand response with datacenter loads: a green dimension of big data , 2017 .

[13]  Ilari Alapera,et al.  Data centers as a source of dynamic flexibility in smart girds , 2018, Applied Energy.

[14]  K. Mareš Demand Response and Open Automated Demand Response Opportunities for Data Centers , 2010 .

[15]  Adam Wierman,et al.  Energy Portfolio Optimization of Data Centers , 2017, IEEE Transactions on Smart Grid.

[16]  H. Vincent Poor,et al.  Data Center Demand Response With On-Site Renewable Generation: A Bargaining Approach , 2018, IEEE/ACM Transactions on Networking.

[17]  Salah Kamel,et al.  An Efficient Control Strategy for Enhancing Frequency Stability of Multi-Area Power System Considering High Wind Energy Penetration , 2020, IEEE Access.

[18]  Wangda Zuo,et al.  Assessments of data centers for provision of frequency regulation , 2020, Applied Energy.

[19]  Søren Knudsen Kær,et al.  Simulation of Thermal Behaviour of a Lithium Titanate Oxide Battery , 2019, Energies.

[20]  L. Nilsson,et al.  Data centres in future European energy systems—energy efficiency, integration and policy , 2019, Energy Efficiency.

[21]  Wen-De Zhong,et al.  Demand Response in Data Centers Through Energy-Efficient Scheduling and Simple Incentivization , 2017, IEEE Systems Journal.

[22]  Gang Chen,et al.  Adaptive Time Delay Compensator (ATDC) Design for Wide-Area Power System Stabilizer , 2014, IEEE Transactions on Smart Grid.

[23]  C. N. Bhende,et al.  Frequency sensitivity analysis of dynamic demand response in wind farm integrated power system , 2019, IET Renewable Power Generation.

[24]  Sen Li,et al.  Maximizing the revenues of data centers in regulation market by coordinating with electric vehicles , 2015, Sustain. Comput. Informatics Syst..

[25]  Ghadir Radman,et al.  Wide-Area-Based Adaptive Neuro-Fuzzy SVC Controller for Damping Interarea Oscillations , 2018, Canadian Journal of Electrical and Computer Engineering.

[26]  Jonathan O'Sullivan,et al.  Economic dispatch of a small utility with a frequency based reserve policy , 1996 .

[27]  Robert Basmadjian,et al.  Flexibility-Based Energy and Demand Management in Data Centers: A Case Study for Cloud Computing , 2019, Energies.

[28]  D. John Morrow,et al.  Manipulation of Static and Dynamic Data Center Power Responses to Support Grid Operations , 2020, IEEE Access.

[29]  M. Karimi,et al.  Design and Validation of a Wide Area Monitoring and Control System for Fast Frequency Response , 2020, IEEE Transactions on Smart Grid.

[30]  Jinghan He,et al.  Hierarchical Control of Residential HVAC Units for Primary Frequency Regulation , 2018, IEEE Transactions on Smart Grid.

[31]  Hoay Beng Gooi,et al.  A Distributed Model Predictive Control Framework for Grid-Friendly Distributed Energy Resources , 2021, IEEE Transactions on Sustainable Energy.

[32]  Albert Y. Zomaya,et al.  Power Control Framework for Green Data Centers , 2020, IEEE Transactions on Cloud Computing.

[33]  Xiao-Ping Zhang,et al.  Fast Frequency Support From Wind Turbine Systems by Arresting Frequency Nadir Close to Settling Frequency , 2020, IEEE Open Access Journal of Power and Energy.

[34]  D John Morrow,et al.  Utilizing Data Centers for Inertia and Fast Frequency Response Services , 2020, 2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES).

[35]  Mohsen Guizani,et al.  Joint Resource Scheduling and Peak Power Shaving for Cloud Data Centers with Distributed Uninterruptible Power Supply , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).

[36]  Paul Smith,et al.  Studying the Maximum Instantaneous Non-Synchronous Generation in an Island System—Frequency Stability Challenges in Ireland , 2014, IEEE Transactions on Power Systems.

[37]  Eleonora Riva Sanseverino,et al.  Green Data Centres integration in smart grids: New frontiers for ancillary service provision , 2017 .

[38]  Mohammad S. Obaidat,et al.  An Adaptive Grid Frequency Support Mechanism for Energy Management in Cloud Data Centers , 2020, IEEE Systems Journal.

[39]  D. John Morrow,et al.  A Comparative Assessment of Battery Energy Storage Locations in Power Systems with High Wind Power Penetrations , 2020, 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

[40]  M. G. Dozein,et al.  Fast Frequency Response From Utility-Scale Hydrogen Electrolyzers , 2021, IEEE Transactions on Sustainable Energy.

[41]  Hongxun Hui,et al.  Modeling and control of flexible loads for frequency regulation services considering compensation of communication latency and detection error , 2019, Applied Energy.

[42]  Banja Manjola,et al.  Renewable technologies in the EU electricity sector: trends and projections: Analysis in the framework of the EU 2030 climate and energy strategy , 2017 .