Bifurcation Point Tracking in Generator Outage Scenario using Nested Holomorphic Embedding Power Flow Method

The power system is operated to an increasing extent bordering its limits. Violation of these limits leads the system towards its bifurcation point (BP), resulting in voltage collapse. Therefore, tracking of BP for generator outage condition is essential, which gives a stability margin to the system operator for preventive control. Hence, a power flow solution, independent of convergence issue is of a great deal. This paper proposes a nested holomorphic embedding power flow method (HEPM) for obtaining power flow solution if one exists along with the bifurcation point and unambiguously notifies its nonexistence under sequential generator outage. It is devoid of the issues faced by iterative methods implemented during major blackouts, cascade failure, and voltage collapse situations. The complexity of the nested HEPM for calculation of the bifurcation point in terms of the number of power flow equations to be solved is extremely lower compared with other iterative methods. The proposed methodology is validated with a modified IEEE 14 bus system using MATLAB in the worst-case scenario where all generators fail except the slack bus.

[1]  Daniel Tylavsky,et al.  Estimating the saddle-node bifurcation point of static power systems using the holomorphic embedding method , 2017 .

[2]  Kai Sun,et al.  Voltage Stability Analysis of Power Systems With Induction Motors Based on Holomorphic Embedding , 2019, IEEE Transactions on Power Systems.

[3]  Venkataramana Ajjarapu,et al.  The continuation power flow: a tool for steady state voltage stability analysis , 1991 .

[4]  A. Bonini Neto,et al.  Singularities Analysis of the Jacobian Matrix Modified in the Continuation Power Flow: Mathematical Modeling , 2016, IEEE Latin America Transactions.

[5]  R.N. Allan,et al.  Evaluation Methods and Accuracy in Probabilistic Load Flow Solutions , 1981, IEEE Transactions on Power Apparatus and Systems.

[6]  B. Stott,et al.  Review of load-flow calculation methods , 1974 .

[7]  Konstantin S. Turitsyn,et al.  Appearance of multiple stable load flow solutions under power flow reversal conditions , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[8]  Marc Timme,et al.  Dynamically induced cascading failures in power grids , 2017, Nature Communications.

[9]  Antonio Trias,et al.  HELM: The Holomorphic Embedding Load-Flow Method. Foundations and Implementations , 2018 .

[10]  I. Dobson,et al.  Initial review of methods for cascading failure analysis in electric power transmission systems IEEE PES CAMS task force on understanding, prediction, mitigation and restoration of cascading failures , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[11]  A. Trias,et al.  The Holomorphic Embedding Load Flow method , 2012, 2012 IEEE Power and Energy Society General Meeting.

[12]  Zhao Xu,et al.  Risk assessment based on information entropy of cascading failure in power systems , 2012, 2012 IEEE Power and Energy Society General Meeting.

[13]  Yang Feng,et al.  The Holomorphic Embedding Method Applied to the Power-Flow Problem , 2016, IEEE Transactions on Power Systems.

[14]  Bin Wang,et al.  Online Voltage Stability Assessment for Load Areas Based on the Holomorphic Embedding Method , 2017, IEEE Transactions on Power Systems.

[15]  Joe H. Chow,et al.  A Power Flow Method Using a New Bus Type for Computing Steady-State Voltage Stability Margins , 2014, IEEE Transactions on Power Systems.

[16]  D. Tylavsky,et al.  A Holomorphic embedding approach for finding the Type-1 power-flow solutions , 2018, International Journal of Electrical Power & Energy Systems.

[17]  Eskandar Gholipour,et al.  Holomorphic Embedding Load-Flow Modeling of Thyristor-Based FACTS Controllers , 2017, IEEE Transactions on Power Systems.