Adaptive Coordinated Voltage Control—Part I: Basic Scheme

Based on offline studies and past experiences, a novel adaptive coordinated voltage control (ACVC) strategy is proposed in this two-part paper. An efficient adaptive response is realized by searching in a limited solution space which is defined by the prepared system knowledge. The system knowledge is acquired from offline studies and then further accumulated from online experiences by learning. With the prepared control knowledge, the search solution space can be significantly reduced. Hence, the online search can quickly achieve a good system performance. In this first part of the paper, the offline study and online control for prepared faults are presented. For some anticipated faults, an offline search is applied to get knowledge for preparation. When an emergency happens, it is compared with the knowledge in the database. If full control information is found, a fast local search is applied within the solution space. Simulation results on the New England 39-bus power system show that this ACVC strategy is very efficient for real-time applications. The learning technique and online knowledge accumulation will be presented in Part II.

[1]  C. W. Taylor,et al.  Voltage instability: mechanisms and control strategies [power systems] , 1995, Proc. IEEE.

[2]  J. Y. Leost,et al.  Survey of the Secondary Voltage Control in France : Present Realization and Investigations , 1987, IEEE Transactions on Power Systems.

[3]  M. Pirlot.  General local search methods , 1996 .

[4]  Kai Tat Ng,et al.  A Multiple Criteria Decision-Making Knowledge-Based Scheme for Real-Time Power Voltage Control , 2008, IEEE Transactions on Industrial Informatics.

[5]  Theodor J. Stewart,et al.  Multiple criteria decision analysis - an integrated approach , 2001 .

[6]  Sam Kwong,et al.  Genetic Algorithms : Concepts and Designs , 1998 .

[7]  David J. Hill,et al.  Nonlinear dynamic load models with recovery for voltage stability studies , 1993 .

[8]  Gustaf Olsson,et al.  Emergency voltage control using search and predictive control , 2002 .

[9]  Marko Bacic,et al.  Model predictive control , 2003 .

[10]  J.M. Lemos,et al.  Learning in multiple model adaptive control switch , 2006, IEEE Instrumentation & Measurement Magazine.

[11]  Costas D. Vournas,et al.  Power System Voltage Stability , 2015, Encyclopedia of Systems and Control.

[13]  M. Larrson,et al.  Coordinated System Protection Scheme against Voltage Collapse Using Heuristic Search and Predictive Control , 2002, IEEE Power Engineering Review.

[14]  Fredrik Roos,et al.  Coordinated Voltage Control , 2002 .

[15]  R. W. Saaty,et al.  The analytic hierarchy process—what it is and how it is used , 1987 .

[16]  Karl Johan Åström,et al.  Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.

[17]  P. Kundur,et al.  Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions , 2004, IEEE Transactions on Power Systems.

[18]  Theodor J. Stewart,et al.  Multiple Criteria Decision Analysis , 2001 .

[19]  M. Glavic,et al.  Some Reflections on Model Predictive Control of Transmission Voltages , 2006, 2006 38th North American Power Symposium.

[20]  Anne Kuefer,et al.  Voltage Stability Of Electric Power Systems , 2016 .

[21]  S. Corsi,et al.  The coordinated automatic voltage control of the Italian transmission Grid-part I: reasons of the choice and overview of the consolidated hierarchical system , 2004, IEEE Transactions on Power Systems.

[22]  David J. Hill,et al.  Deterministic Learning Theory , 2009 .

[23]  S.J. Cheng,et al.  Optimal coordinated voltage control for power system voltage stability , 2004, IEEE Transactions on Power Systems.

[24]  Kai Tat Ng,et al.  Multiobjective Coordinated Power Voltage Control Using Jumping Genes Paradigm , 2008, IEEE Transactions on Industrial Electronics.