Virtual energy storage for frequency and voltage control

The secure and economic operation of the future power system is facing major challenges. These challenges are driven by the increase of the penetration of converter connected and distributed renewable generation and electrified demand. In this thesis, a new smart energy management paradigm, i.e. a Virtual Energy Storage System (VESS), to address these challenges was studied. A VESS aggregates energy storage and flexible demand units into a single entity which performs similarly to a large-capacity conventional energy storage system. A VESS mitigates the uncertainty of the response from flexible demand through coordination with a minimum capacity of costly energy storage systems. Mathematical models of four components of a VESS were developed. Specifically, models of two types of energy storage, i.e. flywheel energy storage and battery energy storage, were developed. Thermodynamic models of two types of flexible demand units, i.e. domestic refrigerators and industrial bitumen tanks, were developed. These models were validated against the performance of similar equipment from the literature. Aggregated models, representing a population of units, for each of flywheels, batteries, refrigerators and bitumen tanks were developed. These aggregated models represent a randomly diversified population of units. These aggregated models were used to establish the frequency and the voltage control schemes of a VESS. A frequency control scheme of the VESS was designed. The control scheme provides low, high and continuous frequency response services to the system operator. The centralised control scheme coordinates models of refrigerators and units of the flywheel energy storage system. Following frequency deviations, the local frequency controllers of refrigerators changed their power consumption. The local frequency controllers of the flywheel units cover the power mismatch between the change in refrigerators power consumption and the required response from the VESS. The required response from the VESS is determined by a droop control. Case studies were conducted to evaluate the frequency control scheme by connecting the VESS to a simplified GB power system. Results showed that the response from the frequency control scheme of the VESS was similar to that of only flywheel energy storage. Based on an economic evaluation, the VESS is estimated to obtain approximately 50% higher return compared with the case II that only uses flywheel energy storage system. These revenues are based on providing frequency response services to the system operator. A voltage control scheme of the VESS was also designed. The control scheme facilitates the integration of distributed renewable energy generation by enhancing the voltage control of the distribution network. The control scheme coordinates models of bitumen tanks and battery energy storage system through different time delay settings of their voltage controllers. The local voltage controllers of bitumen tanks alter their power consumption following significant voltage deviations. If voltage violations continue, the distributed voltage controller of the battery energy storage system charges or discharges the battery using a droop setting obtained from voltage sensitivity factors. A case study was undertaken to assess the voltage control scheme by connecting the VESS, solar panels and wind farms to a UK Generic Distribution System (UKGDS) network. Results showed that the voltage control scheme made a significant improvement in the voltage and reduced tap changing actions of the on-load tap changing transformer and the voltage regulator by approximately 30 % compared with the base case where no VESS was used. Based on an economic evaluation, The VESS is an efficient solution to accommodate distributed renewable energy generation compared with network reinforcement.

[1]  Gerard Ledwich,et al.  Energy Requirement for Distributed Energy Resources with Battery Energy Storage for Voltage Support in Three-Phase Distribution lines , 2007 .

[2]  Jianzhong Wu,et al.  Availability of load to provide frequency response in the great Britain power system , 2014, 2014 Power Systems Computation Conference.

[3]  Akihiko Yokoyama,et al.  Smart Grid: Technology and Applications , 2012 .

[4]  Jizhong Zhu,et al.  Optimization of Power System Operation , 2009 .

[5]  Andreas Sumper,et al.  A review of energy storage technologies for wind power applications , 2012 .

[6]  Industrial Strategy,et al.  Digest of United Kingdom Energy Statistics , 2020 .

[7]  Haisheng Chen,et al.  Progress in electrical energy storage system: A critical review , 2009 .

[8]  Nicholas Jenkins,et al.  Renewable Energy Engineering , 2017 .

[9]  D. Sutanto,et al.  Superconducting magnetic energy storage systems for power system applications , 2009, 2009 International Conference on Applied Superconductivity and Electromagnetic Devices.

[10]  J. O. Petinrin,et al.  Voltage control in a smart distribution network using demand response , 2014, 2014 IEEE International Conference on Power and Energy (PECon).

[11]  John M. Madden The Electricity Safety, Quality and Continuity Regulations 2002 , 2017 .

[12]  H.A. Toliyat,et al.  Control design of an advanced high-speed FESS for pulsed power applications , 2008, 2008 34th Annual Conference of IEEE Industrial Electronics.

[13]  Jianzhong Wu,et al.  PRIMARY FREQUENCY RESPONSE IN THE GREAT BRITAIN POWER SYSTEM FROM DYNAMICALLY CONTROLLED REFRIGERATORS , 2013 .

[14]  Seth R. Sanders,et al.  Optimal efficiency controller for synchronous reluctance flywheel drive , 1998, INTELEC - Twentieth International Telecommunications Energy Conference (Cat. No.98CH36263).

[15]  Ning Lu,et al.  A Demand Response and Battery Storage Coordination Algorithm for Providing Microgrid Tie-Line Smoothing Services , 2014, IEEE Transactions on Sustainable Energy.

[16]  Andrei G. Ter-Gazarian,et al.  Energy Storage for Power Systems , 2020 .

[17]  O. S. Popel’,et al.  Modern kinds of electric energy storages and their application in independent and centralized power systems , 2011 .

[18]  Danny Pudjianto,et al.  Decentralized Coordination of Microgrids With Flexible Demand and Energy Storage , 2014, IEEE Transactions on Sustainable Energy.

[19]  Tim Littler,et al.  Impact of heat pump load on distribution networks , 2014 .

[20]  Taku Oshima,et al.  Development of Sodium‐Sulfur Batteries , 2005 .

[21]  Danny Pudjianto,et al.  Virtual power plant and system integration of distributed energy resources , 2007 .

[22]  Darren Jones,et al.  Coordination of Multiple Energy Storage Units in a Low-Voltage Distribution Network , 2015, IEEE Transactions on Smart Grid.

[23]  Jianzhong Wu,et al.  Power System Frequency Response From the Control of Bitumen Tanks , 2016, IEEE Transactions on Power Systems.

[24]  Xiao-Ping Zhang,et al.  Pathways for Energy Storage in the UK , 2012 .

[25]  Subhashish Bhattacharya,et al.  Optimal Control of Battery Energy Storage for Wind Farm Dispatching , 2010, IEEE Transactions on Energy Conversion.

[26]  L.-A. Dessaint,et al.  A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles , 2007, 2007 IEEE Vehicle Power and Propulsion Conference.

[27]  Genevieve Saur,et al.  Lifecycle Cost Analysis of Hydrogen Versus Other Technologies for Electrical Energy Storage , 2009 .

[28]  N. Hamsic,et al.  Stabilising the Grid Voltage and Frequency in Isolated Power Systems Using a Flywheel Energy Storage System , 2006 .

[29]  Lingfeng Wang Modeling and control of sustainable power systems : towards smarter and greener electric grids , 2012 .

[30]  Mathias Noe,et al.  Electric power applications of superconductivity , 2004, Proceedings of the IEEE.

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

[32]  Tao Jiang,et al.  Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system , 2017 .

[33]  Math Bollen,et al.  Integration of Distributed Generation in the Power System , 2008 .

[34]  R D Zimmerman,et al.  MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.

[35]  R. Sebastian,et al.  Flywheel energy storage systems: Review and simulation for an isolated wind power system , 2012 .

[36]  Vivian Scott,et al.  SCCS response to Energy and Climate Change Committee inquiry into 2020 renewable heat and transport targets , 2016 .

[37]  Peter Bretschneider,et al.  Smart Grids - the Answer to the New Challenges of Energy Logistics? , 2012 .

[38]  Nick Jenkins,et al.  Modelling of a population of Heat Pumps as a Source of load in the Great Britain power system , 2016, 2016 International Conference on Smart Systems and Technologies (SST).

[39]  J.B. Ekanayake,et al.  Frequency Response from Wind Turbines , 2008, 2009 44th International Universities Power Engineering Conference (UPEC).

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

[41]  D. Kottick,et al.  Battery energy storage for frequency regulation in an island power system , 1993 .

[42]  Bruno Murari,et al.  Smart power , 1988, ESSCIRC '88: Fourteenth European Solid-State Circuits Conference.

[43]  B. Francois,et al.  Dynamic Frequency Control Support by Energy Storage to Reduce the Impact of Wind and Solar Generation on Isolated Power System's Inertia , 2012, IEEE Transactions on Sustainable Energy.

[44]  S. Pirog,et al.  The control and structure of the power electronic system supplying the Flywheel Energy Storage (FES) , 2007, 2007 European Conference on Power Electronics and Applications.

[45]  Ryan Liu,et al.  A survey of PEV impacts on electric utilities , 2011, ISGT 2011.

[46]  Graham Ault,et al.  Methodology for determination of economic connection capacity for renewable generator connections to distribution networks optimised by active power flow management , 2006 .

[47]  Marcelo Gustavo Molina,et al.  Improving the Integration of Wind Power Generation Into AC Microgrids Using Flywheel Energy Storage , 2012, IEEE Transactions on Smart Grid.

[48]  C. Chapelsky,et al.  Control of a High-Inertia Flywheel As Part of a High Capacity Energy Storage System , 2007, 2007 Canadian Conference on Electrical and Computer Engineering.

[49]  Jizhong Zhu,et al.  OPTIMIZATION OF POWER SYSTEM OPERATION: Zhu/Optimization of Power System Operation , 2015 .

[50]  Joao P. S. Catalao,et al.  An overview of Demand Response: Key-elements and international experience , 2017 .

[51]  Ahmad Zahedi,et al.  Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation , 2016 .

[52]  Nikos D. Hatziargyriou,et al.  Centralized Control for Optimizing Microgrids Operation , 2008 .

[53]  Ning Lu,et al.  An Evaluation of the HVAC Load Potential for Providing Load Balancing Service , 2012, IEEE Transactions on Smart Grid.

[54]  Chuanwen Jiang,et al.  From controllable loads to generalized demand-side resources: A review on developments of demand-side resources , 2016 .

[55]  Philippe Dessante,et al.  Optimization of the steady voltage profile in distribution systems by coordinating the controls of distributed generations , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[56]  Goran Strbac,et al.  UK research needs in grid scale energy storage technologies , 2016 .

[57]  Magnus Korpås,et al.  Opportunities for hydrogen production in connection with wind power in weak grids , 2008 .

[58]  Hui Wang,et al.  Advances and trends of energy storage technology in Microgrid , 2013 .

[59]  Jianzhong Wu,et al.  Performance of industrial melting pots in the provision of dynamic frequency response in the Great Britain power system , 2017 .

[60]  C. Luongo Superconducting storage systems: an overview , 1996 .

[61]  B. Scrosati,et al.  Lithium batteries: Status, prospects and future , 2010 .

[62]  S. C. Tripathy,et al.  Application of magnetic energy storage unit as load-frequency stabilizer , 1990 .

[63]  Jianzhong Wu,et al.  Smart Electricity Distribution Networks , 2016 .

[64]  Pengfei Wang,et al.  Integrating Electrical Energy Storage Into Coordinated Voltage Control Schemes for Distribution Networks , 2014, IEEE Transactions on Smart Grid.

[65]  Tsukasa Itou,et al.  State-of-the-art of alkaline rechargeable batteries , 2001 .

[66]  Jacob Østergaard,et al.  Voltage-Sensitive Load Controllers for Voltage Regulation and Increased Load Factor in Distribution Systems , 2014, IEEE Transactions on Smart Grid.

[67]  Yasser Abdel-Rady I. Mohamed,et al.  A Protection Coordination Index for Evaluating Distributed Generation Impacts on Protection for Meshed Distribution Systems , 2013, IEEE Transactions on Smart Grid.

[68]  Jianzhong Wu,et al.  Flexible Demand in the GB Domestic Electricity Sector in 2030 , 2015 .

[69]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[70]  S. M. Hakimi,et al.  Smart virtual energy storage control strategy to cope with uncertainties and increase renewable energy penetration , 2016 .

[71]  Electricity Ten Year Statement Appendix E – Technology Sheets , 2012 .

[72]  Stephan Koch,et al.  Active Coordination of Thermal Household Appliances for Load Management Purposes , 2009 .

[73]  Kameshwar Poolla,et al.  Identification of Virtual Battery Models for Flexible Loads , 2016, IEEE Transactions on Power Systems.

[74]  I. Staffell,et al.  Maximising the value of electricity storage , 2016 .

[75]  Peter Hall,et al.  Energy-storage technologies and electricity generation , 2008 .

[76]  I. A. Erinmez,et al.  NGC experience with frequency control in England and Wales-provision of frequency response by generators , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[77]  Shahram Jadid,et al.  A new approach for real time voltage control using demand response in an automated distribution system , 2014 .

[78]  Ø. Ulleberg,et al.  The wind/hydrogen demonstration system at Utsira in Norway: Evaluation of system performance using operational data and updated hydrogen energy system modeling tools , 2010 .

[79]  G. A. Putrus,et al.  Impact of electric vehicles on power distribution networks , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[80]  Balarko Chaudhuri,et al.  Smart Loads for Voltage Control in Distribution Networks , 2017, IEEE Transactions on Smart Grid.

[81]  Pengfei Wang,et al.  Distribution network voltage control using energy storage and demand side response , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[82]  Keith Robert Pullen,et al.  A Review of Flywheel Energy Storage System Technologies and Their Applications , 2017 .

[83]  Jihong Wang,et al.  Overview of current development in electrical energy storage technologies and the application potential in power system operation , 2015 .

[84]  Seamus D. Garvey,et al.  Design and testing of Energy Bags for underwater compressed air energy storage , 2014 .

[85]  P. Kundur,et al.  Power system stability and control , 1994 .

[86]  Scott D. Sudhoff,et al.  Analysis of Electric Machinery and Drive Systems , 1995 .

[87]  Dirk Saelens,et al.  Heat pump and PV impact on residential low-voltage distribution grids as a function of building and district properties , 2017 .

[88]  Andreas Sumper,et al.  Modeling, Control and Experimental Validation of a Flywheel-Based Energy Storage Device , 2013 .

[89]  P. Lund The Danish Cell Project - Part 1: Background and General Approach , 2007, 2007 IEEE Power Engineering Society General Meeting.

[90]  Jhi-Young Joo,et al.  The effect of demand response on distribution system operation , 2015, 2015 IEEE Power and Energy Conference at Illinois (PECI).

[91]  Marko Aunedi,et al.  Smart control for minimizing distribution network reinforcement cost due to electrification , 2013 .

[92]  Meihong Wang,et al.  Energy storage technologies and real life applications – A state of the art review , 2016 .

[93]  Alejandro Navarro-Espinosa,et al.  Probabilistic Impact Assessment of Low Carbon Technologies in LV Distribution Systems , 2016, IEEE Transactions on Power Systems.

[94]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .