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Voltage Security Margin Assessment

Voltage Security Margin Assessment. Professor Dr. Garng Huang. PS ERC. Task 1 Modeling of control devices, loads and transactions for stability evaluations. Subtasks 1.1 Modeling FACTS devices [3]

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Voltage Security Margin Assessment

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  1. Voltage Security Margin Assessment Professor Dr. Garng Huang PSERC

  2. Task 1 • Modeling of control devices, loads and transactions for stability evaluations. Subtasks • 1.1 Modeling FACTS devices[3] • 1.2 Modeling Tap-changing transformers for its reactive power drawing capability[8] • 1.3 Modeling exciters for its reactive power supporting and voltage regulatingcapability[6,8] • 1.4 Modeling loads[8] • 1.4 Modeling transactions[5,9,10] Task 2 • Use of Stability Margin and Stability Index Calculations Subtasks • 2.1. Develop a program according to the new models to simulate the dynamic responses[4,8] • 2.2. Analysis of Modeling Impacts[6,7] • 2.3. Use of stability indices as a transaction scheduler[1,2] • 2.4 Use of utilization indices developed in 2.2 as basis for auxiliary service charges. [5,6,7,11] • 2.5 Use of 2.4 results as equipment investment indicators based on 2.4 results[5,6,7]

  3. Task 3 • Transaction based stability margin and utilization factors calculation Subtasks • 3.1 Formulate the transaction based power flow analysis problem[9,10,11] • 3.2 Develop software for transaction based power flow analysis for decompositions[9,10] • 3.3 Develop software to calculate utilization factor for control equipments[6] • 3.4 Develop software for finding decomposed utiliziation factors and stability margins for individual transactions. [5] • 3.5 Combining results from 3.2 and 3.3 to decompose the margins and utilization factors to individual transactions. [5,6]

  4. Publications • 1. G M Huang, N C Nair, “An OPF based Algorithm to Evaluate Load Curtailment Incorporating Voltage Stability Margin Criterion”, Conference proceeding of NAPS 2001, TX. • 2. G M Huang, N C Nair, “Voltage Stability Constrained Load Curtailment Procedure to Evaluate Power System Reliability Measures”, IEEE/PES WM 2002, NY • 3. G M Huang, N C Nair, ”Incorporating TCSC into the Voltage Stability Constrained OPF Formulation”, IEEE/PES Summer meeting 2002, Chicago. • 4. G M Huang, N C Nair, “Detection of Dynamic Voltage Collapse”, IEEE/PES Summer meeting 2002, Chicago. • 5. G M Huang, N C Nair, “Allocating Usages of Voltage Security Margin in Deregulated Electric Markets”, Submitted to ISCAS 2003, Thailand. • 6. G M Huang, K Men,”Contribution Allocation for Voltage Stability In Deregulated Power Systems”, IEEE 2002 PES, Summer meeting, Chicago. • 7. G M Huang, L Zhao, X Song, “A new bifurcation analysis for power system dynamic voltage stability studies”, IEEE 2002 PES, Summer Meeting, Chicago • 8. G M Huang, H Zhang, “Dynamic voltage stability reserve studies for deregulated environment” IEEE 2001 PES, Summer Meeting, Canada • 9. G M Huang, H Zhang, “Transaction-Based Power Flow Analysis for Congestion Management and Responsibility Evaluation” presented at 2001 IEEE/PES Winter Meeting, Panel Session: Transmission Congestion Management and Reliability, Columbus, Ohio, Jan. 2001. • 10 . G M Huang, H Zhang, “Transaction Based Power Flow analysis For Transmission Utilization Allocation” 2001 IEEE/PES Summer Meeting. • 11 . G M Huang, H Zhang, “Transmission Loss Allocations and Pricing Via Bilateral Energy Transactions” 1999 IEEE/PES Summer Meeting.

  5. Voltage Stability Indicator

  6. Voltage Stability Constrained OPF Formulation

  7. Transaction Based Voltage Margin Allocation

  8. TB-VMA Algorithm: Step 1 Decompose nodal currents based on transactions PX = Pool type transaction TX = NT Bilateral transactions Suffix Q represents the system wide reactive market

  9. TB-VMA Algorithm: Step 2 Decompose nodal voltage components from decomposed current components Suffix , PX = Pool type transaction TX = NT Bilateral transactions Suffix Q represents the system wide reactive market

  10. TB-VMA Algorithm: Step 3 Complex Power Delivered at Load buses, based on scheduled transactions Suffix, PX = Pool type transaction TX = NT Bilateral transactions

  11. Step 3… Continued Index L formulation based on transaction based voltage decomposition Suffix, PX = Pool type transaction TX = NT Bilateral transactions

  12. TRANSACTION PATTERN

  13. Line parameters

  14. Result of TB-VMA with and without line contingency of Line 4-9 outage Index Evaluated at Buses Before Contingency Index Evaluated at Buses After Contingency • Transaction #2 of bus 7 increases the load bus 9 index. • Because generator at bus 2 is involved in both PX#1 and TX # 2. • The above effect is magnified in case of a contingency. • Bus 9 is driven closer towards voltage collapse. This is because of loss of • support for bus 9 from generator 1 because of loss of line

  15. TB-VMA Application Scope • Responsibility Settlement of Voltage Security • Node-wise Voltage Stability Margin Utilization Evaluation • Evolve Transaction Based Pricing Mechanism for Voltage Security • A Tool to confirm whether a Transaction could be committed from voltage security margin viewpoint • A Tool to decide which transaction if curtailed gives maximum effect in case of potential voltage collapse situation

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