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Voltage Security Margin Assessment

Voltage Security Margin Assessment . By Drs. G. Huang and A. Abur Students: N. Nair, L. Zhao H. Zhang( not paid through pserc). Task 1: Modeling of control devices, loads and transactions for stability evaluations. Modeling FACTS devices 70% Finished

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Voltage Security Margin Assessment

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  1. Voltage Security Margin Assessment By Drs. G. Huang and A. AburStudents: N. Nair, L. Zhao H. Zhang( not paid through pserc)

  2. Task 1: Modeling of control devices, loads and transactions for stability evaluations. • Modeling FACTS devices 70% Finished • Modeling Tap-changing transformers for its reactive power drawing capability 70% Finished • Modeling exciters 70% Finished • Modeling loads 70% Finished • Modeling transactions 40% Finished

  3. Highlights: • Insight on Dynamic Reserve vs Static Reserve ( dynamic reserve paper) • Margin based on Static Analysis is 10% too optimistic for most cases • TCUL has major impacts on dynamic margin 30% or more • Voltage regulating exciters cannot be replaced by static var reserve.

  4. Task 2 :Use of Stability Margin and Stability Index Calculations • Develop a program according to the new models to simulate the dynamic responses 70% Finished • Analysis of Modeling Impacts 40% Finished • Use of stability indices as a transaction scheduler • Use of utilization indices as basis for auxiliary service charges • Develop equipment investment indicators • Tests and documentation

  5. Highlights • Weakness of PV curves are found. For some loads, the lower part of the PV curve do not indicate instability. • Indicator L gives an information as regards to the stability margin from the steady state voltage collapse point. • It has been observed that L calculated on the simulated dynamic data at the instance of the largest dip in the voltage at the load bus following a disturbance can give information as regards to the voltage stability margin. • An OPF based algorithm to evaluate load curtailment incorporating voltage stability margin has been formulated based on the proposed index L.

  6. Task 3: Transaction based stability margin and utilization factors calculation • Formulate the transaction based power flow analysis problem 70% finished • Develop software for transaction based power flow analysis for decompositions 50% finished • Develop software to calculate utilization factor for control equipments • Develop software for finding decomposed utiliziation factors and stability margins for individual transactions. • Test case and documentation

  7. Highlights • A transaction based power flow (TBPF) analysis and prototype program has been developed. • The utilization of MW flows, Mvar flows, MVA flows, transmission losses and reactive power losses of bilateral transactions is part of the TBPF solution. • Potentials for the deregulated power market, such as loss allocation, parallel flow evaluation, congestion management and settlement, reactive power pricing, Flowgate and ATC assessment etc • High computation efficiency • With appropriate logic modification, common power flow programs embedded in EMS function can be readily extended for TBPF purpose.

  8. Desired Input from Industry: • Real measurement data that records voltage stability scenarios for us to check if our L index will correctly predict the problem. • Real measurement data that indicate PV curve monitoring do not work for lighting or resistance loads. But we will demonstrate that our L indicator will work.

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