1 / 17

Manuel Avendaño J. V. Milanović

School of Electrical & Electronic Engineering. Methodology for Flexible, Cost -Effective Monitoring of Voltage Sags. Manuel Avendaño J. V. Milanović. Manchester, UK. Manuel Avendaño – UK – Session 2 – Paper 0529. What did we do?.

wilma-beard
Télécharger la présentation

Manuel Avendaño J. V. Milanović

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. School of Electrical & Electronic Engineering Methodology for Flexible, Cost-Effective Monitoring of Voltage Sags Manuel Avendaño J. V. Milanović Manchester, UK Manuel Avendaño – UK – Session 2 – Paper 0529

  2. What did we do? • Proposed methodology for determining a range of best monitoring programmes for estimating the performance of sags with different characteristics. • Incorporated user-defined voltage sag characteristics and a measure of the overall accuracy of sag estimation. Manuel Avendaño – UK – Session 2 – Paper 0529

  3. Presentation Outline • Why did we do it? (Importance and motivation) • How did we do it? (Methodology) • What did we get? (Results) • What did we learn? (Conclusions) Manuel Avendaño – UK – Session 2 – Paper 0529

  4. Why did we do it? • Knowledge of voltage sag incidence in the network can help in tailoring solutions to mitigate the consequences of sags. • Estimation of sag characteristics is required when measurements are not available. • Fault location method utilized directly influences the number of monitors. Manuel Avendaño – UK – Session 2 – Paper 0529

  5. Why did we do it? • Sag monitoring programs (SMPs) should be focused on quantifying most critical sags • (E.g. SARFI-90%, SARFI-70%, SEMI F47, etc) • To provide a measure for assessing the sag estimation derived from a SMP • (Diff. between real and estimated events) Manuel Avendaño – UK – Session 2 – Paper 0529

  6. How did we do it? • Selection of monitor locations based on minimization of overall sag estimation error. • Utilization of existing fault location method. • Application in a generic distribution system (GDS) and comparison with an optimal placement method. Manuel Avendaño – UK – Session 2 – Paper 0529

  7. Sag estimation error (SEE) N = total number of buses = real number of sags below i.c. SEMI F47 at bus i = estimated number of sags below i.c. SEMI F47 at busi SEMI F47 can be substituted by any other voltage-tolerance curve (CBEMA), performance index (SARFI), etc. Manuel Avendaño – UK – Session 2 – Paper 0529

  8. Monitor placement • Set target value for SEE or number of monitors (stop criteria). • Simulate faults to obtain sag performance. • Perform fault location using voltage measurements of all buses. • Calculate SEE incurred by all buses. • Monitor location = min(SEE) • Repeat steps 3-5 until a stop criterion is fulfilled. Manuel Avendaño – UK – Session 2 – Paper 0529

  9. What did we get? An iterative search algorithm that is: • Flexible. One or multiple monitoring programmes can be determined forany kind of user-defined voltage sag characteristics. • Cost-effective. If technical and/or economic constraints limit the number of monitors to be deployed, a series of SMPs can be provided accordingly. Manuel Avendaño – UK – Session 2 – Paper 0529

  10. Application • 295-bus GDS, 278 lines, 37 transformers. GDS equipment shut-down region below SEMI F47 Manuel Avendaño – UK – Session 2 – Paper 0529

  11. Sag Monitoring Programmes Manuel Avendaño – UK – Session 2 – Paper 0529

  12. Reduction of sag estimation error Manuel Avendaño – UK – Session 2 – Paper 0529

  13. Location of monitors SMP – SARFI-90 Optimal monitoring Manuel Avendaño – UK – Session 2 – Paper 0529

  14. Effects of robustness in fault location method on sag magnitude estimation Manuel Avendaño – UK – Session 2 – Paper 0529

  15. Comparison with optimal monitoring 12 monitors optimally placed vs. 5 monitors placed with proposed approach. Manuel Avendaño – UK – Session 2 – Paper 0529

  16. Comparison with optimal monitoring Distribution of SEE for Monte Carlo simulations representing 100 years of system performance Manuel Avendaño – UK – Session 2 – Paper 0529

  17. Conclusions • A methodology for determining a range of best voltage sag monitoring programmes is proposed. • DNOs can choose a sag monitoring programme specifically designed to estimate the performance of the sags more relevant to its customers. • Due to the fault location technique employed it is more robust than previous approaches. Manuel Avendaño – UK – Session 2 – Paper 0529

More Related