Deadbands, Droop, and Inertia Impact on Power System Frequency Distribution

Power system inertia is falling as more energy is supplied by renewable generators, and there are concerns about the frequency controls required to guarantee satisfactory system performance. The majority of research into the negative effect of low inertia has focused on poor dynamic response following major disturbances, when the transient frequency dip can become unacceptable. However, another important practical concern—keeping average frequency deviations within acceptable limits—was mainly out of the sight of the research community. In this manuscript, we present a method for finding the frequency probability density function (PDF) for a given power system. We pass from an initial stochastic dynamic model to deterministic equations for the frequency PDF, which are analyzed to uncover key system parameters influencing frequency deviations. We show that system inertia has little effect on the frequency PDF, making virtual inertia services insufficient for keeping frequency close to nominal under ambient load fluctuations. We establish that aggregate system droop and deadband width are the only parameters that have major influence on the average frequency deviations, suggesting that energy storage might be an excellent solution for tight frequency regulation. We also show that changing the governor deadband width does not significantly affect generator movement.

[1]  J.A.P. Lopes,et al.  Participation of Doubly Fed Induction Wind Generators in System Frequency Regulation , 2007, IEEE Transactions on Power Systems.

[2]  Hao Zhu,et al.  Data-Driven Estimation of Frequency Response From Ambient Synchrophasor Measurements , 2018, IEEE Transactions on Power Systems.

[3]  Taras I. Lakoba,et al.  Identifying Useful Statistical Indicators of Proximity to Instability in Stochastic Power Systems , 2014, IEEE Transactions on Power Systems.

[4]  Ibrahim Abdur-Rahman,et al.  Frequency Regulation: Is Your Plant Compliant?: Introducing wind and solar into the grid highlights the importance of optimizing power plant frequency regulation capabilities , 2010 .

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

[6]  Goran Strbac,et al.  Assessment of the Role and Value of Frequency Response Support From Wind Plants , 2016, IEEE Transactions on Sustainable Energy.

[7]  Federico Milano,et al.  Impact of variability, uncertainty and frequency regulation on power system frequency distribution , 2016, 2016 Power Systems Computation Conference (PSCC).

[8]  D. Flynn,et al.  The impact of combined-cycle gas turbine short-term dynamics on frequency control , 2005, IEEE Transactions on Power Systems.

[9]  Goran Strbac,et al.  Stochastic Scheduling With Inertia-Dependent Fast Frequency Response Requirements , 2016, IEEE Transactions on Power Systems.

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

[11]  Ross Baldick,et al.  CPS1 Compliance-Constrained AGC Gain Determination for a Single-Balancing Authority , 2014, IEEE Transactions on Power Systems.

[12]  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.

[13]  F. Milano,et al.  A Systematic Method to Model Power Systems as Stochastic Differential Algebraic Equations , 2013, IEEE Transactions on Power Systems.

[14]  M. Fly Modelling of Frequency Control in an Island System , 1998 .

[15]  J. Ritchie,et al.  Dynamic frequency control with increasing wind generation , 2004, IEEE Power Engineering Society General Meeting, 2004..

[16]  B. Øksendal Stochastic Differential Equations , 1985 .

[17]  Pierluigi Mancarella,et al.  Mapping the frequency response adequacy of the Australian national electricity market , 2017, 2017 Australasian Universities Power Engineering Conference (AUPEC).

[18]  J. Elgin The Fokker-Planck Equation: Methods of Solution and Applications , 1984 .

[19]  Federico Milano,et al.  Validation of the Ornstein-Uhlenbeck process for load modeling based on µPMU measurements , 2016, 2016 Power Systems Computation Conference (PSCC).

[20]  Gareth Taylor,et al.  Inertia Estimation of the GB Power System Using Synchrophasor Measurements , 2015, IEEE Transactions on Power Systems.

[21]  N. Jaleeli,et al.  NERC's new control performance standards , 1999 .

[22]  Hector Chavez,et al.  Regulation Adequacy Analysis Under High Wind Penetration Scenarios in ERCOT Nodal , 2012, IEEE Transactions on Sustainable Energy.

[23]  Drago Dolinar,et al.  Analysis of ACE target level for evaluation of load frequency control performance , 2016, 2016 IEEE International Energy Conference (ENERGYCON).

[24]  Goran Strbac,et al.  Evaluation of Synthetic Inertia Provision from Wind Plants , 2015, 2015 IEEE Power & Energy Society General Meeting.

[25]  Enrique Mallada,et al.  iDroop: A Dynamic Droop controller to decouple power grid's steady-state and dynamic performance , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

[26]  Janusz Bialek,et al.  Power System Dynamics: Stability and Control , 2008 .

[27]  Pieter Tielens,et al.  The relevance of inertia in power systems , 2016 .

[28]  Yun Seng Lim,et al.  Frequency response services designed for energy storage , 2017 .

[29]  Mariesa L. Crow,et al.  The Fokker-Planck Equation for Power System Stability Probability Density Function Evolution , 2013 .

[30]  Raja Ayyanar,et al.  Control strategy to mitigate the impact of reduced inertia due to doubly fed induction generators on large power systems , 2011, 2011 IEEE Power and Energy Society General Meeting.

[31]  Goran Andersson,et al.  Impact of Low Rotational Inertia on Power System Stability and Operation , 2013, 1312.6435.

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

[33]  T. Sasaki,et al.  Statistical and Dynamic Analysis of Generation Control Performance Standards , 2002, IEEE Power Engineering Review.

[34]  Fernando Paganini,et al.  Global performance metrics for synchronization of heterogeneously rated power systems: The role of machine models and inertia , 2017, Allerton Conference on Communication, Control, and Computing.

[35]  Joe H. Chow,et al.  A toolbox for power system dynamics and control engineering education and research , 1992 .