Multi-Objective Dynamic VAR Planning Against Short-Term Voltage Instability Using a Decomposition-Based Evolutionary Algorithm

Short-term voltage stability is an increasing concern in today's power systems due to the growing penetration of induction motors. This paper proposes a systematic method for optimal placement of dynamic VAR support against short-term voltage instability. The problem is formulated as a multi-objective optimization model minimizing two conflicting objectives: 1) the total investment cost and 2) the expected unacceptable short-term voltage performance subject to a set of probable contingencies. STATCOM is employed for its stronger dynamic VAR support capability. Indices for quantifying the short-term voltage stability and the related risk level are proposed for problem modeling. Candidate buses are selected based on the concept of trajectory sensitivity. Load dynamics are fully considered using a composite load model containing induction motor and other typical components. A relatively new and superior multi-objective evolutionary algorithm called MOEA/D is introduced and employed to find the Pareto optimal solutions of the model. The proposed method is verified on the New England 39-bus system using industry-grade models and simulation tool.

[1]  H. Sasaki,et al.  A New Formulation for FACTS Allocation for Security Enhancement against Voltage Collapse , 2002, IEEE Power Engineering Review.

[2]  Y. Xue,et al.  Quantitative assessments for transient voltage security , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[3]  Shanshan Liu,et al.  Dynamic optimization based reactive power planning to mitigate slow voltage recovery and short term voltage instability , 2014 .

[4]  James D. McCalley,et al.  Coordinated reactive power planning against power system voltage instability , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[5]  C.W. Taylor,et al.  A survey of current practices for transient voltage dip/sag criteria related to power system stability , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[6]  Ya-Chin Chang.  Multi-Objective Optimal SVC Installation for Power System Loading Margin Improvement , 2012, IEEE Transactions on Power Systems.

[7]  Qingfu Zhang,et al.  MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.

[8]  Ian A. Hiskens,et al.  Trajectory Sensitivity Analysis of Hybrid Systems , 2000 .

[9]  Deqiang Gan,et al.  Stability-constrained optimal power flow , 2000 .

[10]  A. Petersson,et al.  Benefits of SVC and STATCOM for electric utility application , 2003, 2003 IEEE PES Transmission and Distribution Conference and Exposition (IEEE Cat. No.03CH37495).

[11]  Tao Yu,et al.  Equilibrium-Inspired Multiple Group Search Optimization With Synergistic Learning for Multiobjective Electric Power Dispatch , 2013, IEEE Transactions on Power Systems.

[12]  S. Gerbex,et al.  Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms , 2001, IEEE Power Engineering Review.

[13]  Innocent Kamwa,et al.  Optimal placement of multiple-type FACTS devices to maximize power system loadability using a generic graphical user interface , 2013, IEEE Transactions on Power Systems.

[14]  Rui Zhang,et al.  Parallel-differential evolution approach for optimal event-driven load shedding against voltage collapse in power systems , 2014 .

[15]  Carlos A. Coello Coello,et al.  Evolutionary multi-objective optimization: a historical view of the field , 2006, IEEE Comput. Intell. Mag..

[16]  P. Pourbeik,et al.  Performing Comprehensive Voltage Stability Studies for the Determination of Optimal Location, Size and Type of Reactive Compensation , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[17]  Jon Are Suul,et al.  Low Voltage Ride Through of Wind Farms With Cage Generators: STATCOM Versus SVC , 2008, IEEE Transactions on Power Electronics.

[18]  V. Vittal,et al.  Dynamic VAr Planning in a Large Power System Using Trajectory Sensitivities , 2010, IEEE Transactions on Power Systems.

[19]  Bing Liu,et al.  Quantitative assessments for transient voltage security , 1999 .

[20]  Y. Kazachkov,et al.  Generic Model Structures for Simulating Static Var Systems in Power System Studies—A WECC Task Force Effort , 2012, IEEE Transactions on Power Systems.

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

[22]  Yan Zhang,et al.  Modeling of FACTS Devices for Voltage Sag Mitigation Studies in Large Power Systems , 2010, IEEE Transactions on Power Delivery.

[23]  Kaisa Miettinen,et al.  Nonlinear multiobjective optimization , 1998, International series in operations research and management science.

[24]  C.W. Taylor,et al.  Understanding and solving short-term voltage stability problems , 2002, IEEE Power Engineering Society Summer Meeting,.

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

[26]  K.Y. Lee,et al.  A maximum loading margin method for static voltage stability in power systems , 2006, IEEE Transactions on Power Systems.

[27]  Venkataramana Ajjarapu,et al.  Optimal Allocation of Dynamic VAR Support Using Mixed Integer Dynamic Optimization , 2011, IEEE Transactions on Power Systems.

[28]  Ke Meng,et al.  Speed-up the computing efficiency of power system simulator for engineering-based power system transient stability simulations , 2010 .