[en] The paper presents a decision support tool for transient stability preventive control contributing to increased situation awareness of control room operators by providing additional information about the state of the power system in terms of transient stability. A time-domain approach is used to assess the transient stability for potentially critical faults. Potential critical fault locations are identified by a critical bus screening through analysis of pre-disturbance steady-state conditions. The identified buses are subject to a fast critical contingency screening determining the actual critical contingencies/buses. These two screenings aim at reducing the computational burden of the assessment, since only contingencies considered as critical are taken into account. The critical clearing times for the critical contingencies are determined. A preventive re-dispatch of generators to ensure a predefined minimum critical clearing time for faults at all buses is proposed, while costs are minimized. The results of the assessment are presented to the control room operator, who decides to accept the suggested dispatch or to repeat the assessment considering additional user-specific constraints. The effectiveness of the proposed method is demonstrated on a standard nine-bus and the New England test system.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Pertl, Michael
Weckesser, Johannes ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Rezkalla, Michel
Heussen, Kai
Marinelli, Mattia
Language :
English
Title :
A decision support tool for transient stability preventive control
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
[1] Panteli, M., Crossley, P.A., Kirschen, D.S., Sobajic, D.J., Assessing the impact of insufficient situation awareness on power system operation. IEEE Trans. Power Syst. 28:3 (2013), 2967–2977, 10.1109/TPWRS.2013.2240705.
[2] Panteli, M., Kirschen, D.S., Situation awareness in power systems: theory, challenges and applications. Electric Power Syst. Res. 122 (2015), 140–151, 10.1016/j.epsr.2015.01.008.
[3] U.S.-Canada Power System Outage Task Force, Final Report on the August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations. Tech. Rep. 2004, U.S. Department of Energy and Canadian Ministry of Natural Resources.
[4] UCTE Investigation Committee, Final Report of the Investigation Committee on the 28 September 2003 Blackout in Italy. Tech. Rep. 2004, Union for the Co-ordination of Transmission of Electricity (UCTE), 10.1017/CBO9781107415324.004.
[5] Connors, E.S., Endsley, M., Jones, L., Situation awareness in the power transmission and distribution industry. 51st Annual Meeting of the Human Factors and Ergonomics Society, Santa Monica, 2007, 215–219.
[6] Endsley, M.R., Connors, E.S., Situation awareness: state of the art. Power and Energy Society General Meeting – Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburgh, 2008, 1–4, 10.1109/PES.2008.4596937.
[7] Endsley, M., Situation awareness in the bulk power system. Human Performance Conference, Atlanta, 2012, 45.
[8] Panteli, M., Kirschen, D.S., Crossley, P.A., Sobajic, D.J., Enhancing situation awareness in power system control centers. IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), San Diego, 2013, 254–261.
[9] Visscher, K., Marinelli, A., Morch, Z., Jakobsson, S.H., Identification of observables for future grids – the framework developed in the ELECTRA project. PowerTech, Eindhoven, 2015, 1–6.
[10] Jones, L.E., Strategies and Decision Support Systems for Integrating Variable Energy Resources in Control Centers for Reliable Grid Operations, Tech. Rep. 2011, Alstom Grid Inc., Washington, DC.
[11] Kundur, P., Paserba, J., Ajjarapu, V., Anderson, G., Bose, A., Canizares, C., Hatziargyriou, N., Hill, D., Stankovic, A., Taylor, C., Van Vutsem, T., Vittal, V., Definition and classification of power system stability. IEEE Trans. Power Syst. 21:3 (2004), 1387–1401, 10.1109/TPWRS.2004.825981.
[12] Atputharajah, A., Saha, T.K., Power system blackouts – literature review. International Conference on Industrial and Information Systems (ICIIS), Sri Lanka, 2009, 460–465, 10.1109/ICIINFS.2009.5429818.
[13] Weckesser, T., Johannsson, H., Sommer, S., Østergaard, J., Investigation of the adaptability of transient stability assessment methods to real-time operation. 3rd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe), Berlin, 2012, 1–9, 10.1109/ISGTEurope.2012.6465835.
[14] Pertl, M., Rezkalla, M., Marinelli, M., A novel grid-wide transient stability assessment and visualization method for increasing situation awareness of control room operators. IEEE PES Innovative Smart Grid Technologies Conference Asia (ISGT), Melbourne, 2016, 1–6.
[15] Kato, Y., Iwamoto, S., Transient stability preventive control for stable operating condition with desired CCT. IEEE Trans. Power Syst. 17:4 (2002), 1154–1161, 10.1109/TPWRS.2002.805019.
[16] Yoda, K., Okuda, T., Ohtaka, T., Iwamoto, S., Nagaura, K., Ito, H., Onoue, Y., Transient stability preventive control with optimal power flow. International Conference on Power System Technology (POWERCON), Chengdu, 2004, 102–107.
[17] Takada, H., Kato, Y., Iwamoto, S., Transient stability preventive control using CCT and generation margin. Power Engineering Society Summer Meeting, Vancouver, 2001, 881–886.
[18] Savulescu, S., Real-Time Stability in Power Systems. 2nd ed., 2014, Springer, 10.1007/978-1-4614-0134-6.
[19] Bihain, A., Cirio, D., Fiorina, M., Lopez, R., Lucarella, D., Massucco, S., Ruiz-Vega, D., Vournas, C., Van Cutsem, T., Wehenkel, L., OMASES: a dynamic security assessment tool for the new market environment. IEEE PowerTech, Bologna, 2003, 1–8.
[20] Ruiz-Vega, D., Pavella, M., A comprehensive approach to transient stability control: Part I: near optimal preventive control. IEEE Trans. Power Syst. 18:4 (2003), 1446–1453, 10.1109/TPWRS.2003.818708.
[21] Zárate-Mi nano, R., Cutsem, T.V., Milano, F., Conejo, A.J., Securing transient stability using time-domain simulations within an optimal power flow. IEEE Trans. Power Syst. 25:1 (2010), 243–253.
[22] Pizano-Martinez, A., Fuerte-Esquivel, C.R., Ruiz-Vega, D., A new practical approach to transient stability-constrained optimal power flow. IEEE Trans. Power Syst. 26:3 (2011), 1686–1696, 10.1109/TPWRS.2010.2095045.
[23] Machado Ferreira, C., Maciel Barbosa, F.P., Faustino Agreira, C.I., Transient stability preventive control of an electric power system using a hybrid method. 11th International Middle-East Power System Conference (MEPCON), Aswan, 2008, 141–145.
[24] Cirio, D., Lucarella, D., Vimercati, G., Massucco, S., Morini, A., Silvestro, F., Ernst, D., Pavella, M., Wehenkel, L., Application of an advanced transient stability assessment and control method to a realistic power system. Power Systems Computation Conference (PSCC), Liege, 2005, 1–8.
[25] Gan, D., Thomas, R., Zimmerman, R., Stability-constrained optimal power flow. IEEE Trans. Power Syst. 15:2 (2000), 535–540, 10.1109/59.867137.
[26] La Scala, M., Trovato, M., Antonelli, C., On-line dynamic preventive control: an algorithm for transient security dispatch. IEEE Trans. Power Syst. 13:2 (1998), 601–610, 10.1109/59.667388.
[27] Pizano-Martinez, A., Fuerte-Esquivel, C.R., Ruiz-Vega, D., Global transient stability-constrained optimal power flow using an OMIB reference trajectory. IEEE Trans. Power Syst. 25:1 (2010), 392–403, 10.1109/TPWRS.2009.2036494.
[28] Pizano-Martinez, A., Fuerte-Esquivel, C.R., Zamora-Cardenas, E., Ruiz-Vega, D., Selective transient stability-constrained optimal power flow using a SIME and trajectory sensitivity unified analysis. Electric Power Syst. Res. 109 (2014), 32–44, 10.1016/j.epsr.2013.12.003.
[29] Ernst, D., Ruiz-Vega, D., Pavella, M., Hirsch, P.M., Sobajic, D., A unified approach to transient stability contingency filtering, ranking and assessment. IEEE Trans. Power Syst. 16:3 (2001), 435–443, 10.1109/59.932279.
[30] Ruiz-Vega, D., Pavella, M., A comprehensive approach to transient stability control: Part II: open loop emergency control. IEEE Trans. Power Syst. 18:4 (2003), 1454–1460, 10.1109/TPWRS.2003.818707.
[31] Pardo, J.L., Elmore, J.C., Duong, V.G., 500 kV IPT breaker failure protection: an application of dual timer scheme for short critical clearing time. 65th Annual Conference for Protective Relay Engineers, College Station, 2012, 120–128, 10.1109/CPRE.2012.6201226.
[32] Glavic, M., Van Cutsem, T., Reconstructing and tracking network state from a limited number of synchrophasor measurements. IEEE Trans. Power Syst. 28:2 (2013), 1921–1929, 10.1109/TPWRS.2012.2231439.
[33] Kolluri, V., Mandal, S., Vaiman, M.Y., Vaiman, M.M., Lee, S., Hirsch, P., Fast fault screening approach to assessing transient stability in Entergy's power system. IEEE Power Engineering Society General Meeting, Tampa, 2007, 1–6.
[34] Lee, S., Min, L., Vaiman, M., Fast Fault Screening for Real-Time Transient Stability Assessment. Tech. Rep. 2010, Electric Power Research Institute (EPRI) and V&R Energy System Research Inc.
[35] Vaiman, M.Y., Vaiman, M.M., Gaikwad, A., Fast fault screening methodology for transient stability analysis of bulk power systems. IEEE Power and Energy Society General Meeting, Vancouver, 2013, 1–5.
[36] DIgSILENT PowerFactory, Use of DPL to Determine the Critical Clearing Time of a Fault. 2016 http://goo.gl/JOdtnk.
[37] Marinelli, M., Pertl, M., Rezkalla, M., Kosmecki, M., Canavese, S., Obushevs, A., Morch, A., The Pan-European reference grid developed in the ELECTRA project for deriving innovative observability concepts in the web-of-cells framework. 51th International Universities Power Engineering Conference (UPEC), Coimbra, 2016, 1–6.
[38] Sun, K., Power System Operations & Planning Load Modeling. 2015.
[39] Anderson, P.M., Fouad, A.A., Power System Control and Stability. 1st ed., 1977, Iowa State University Press, Ames.
[40] DIgSILENT PowerFactory, Description of the 39 Bus New England System, Tech Rep. 2015, DIgSILENT GmbH, Gomaringen.
[41] Demetriou, P., Asprou, M., Quiros-Tortos, J., Kyriakides, E., IEEE 118-Bus Modified Test System. 2016 http://www.kios.ucy.ac.cy/testsystems/index.php/dynamic-ieee-test-syst.
[42] Kolluri, S., Li, M., Lazo, A., Yu, P., Vaiman, M., Vaiman, M., Automated critical clearing time calculation for analyzing faults at Entergy. IEEE/PES Transmission and Distribution Conference and Exposition (T&D), Dallas, 2016, 1–5, 10.1109/TDC.2016.7520001.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.
