A Fast Acting Quantized Energy Balance Criterion for Power System Instability Detection Based on WAMPAC GOOSE Pulses Induced by Small Speed Perturbations

Ehab El-Metwally , Mohamed EL-Shimy , Adel Sharaf

Smart Energy Syst. Res. ›› 2026, Vol. 2 ›› Issue (1) : 10005

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Smart Energy Syst. Res. ›› 2026, Vol. 2 ›› Issue (1) :10005 DOI: 10.70322/sesr.2026.10005
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A Fast Acting Quantized Energy Balance Criterion for Power System Instability Detection Based on WAMPAC GOOSE Pulses Induced by Small Speed Perturbations
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Abstract

A newly developed stability assessment tool for a power system is proposed in this paper based on estimating the kinetic energy-time variations. It aims to introduce a practical alternative to the Equal Area Criterion (EAC) method that is valid for multi-swing cases. It utilizes the Generic ObjectOriented Substation Event (GOOSE) packets launched due to angle variations during swing by the Intelligent Electronic Devices (IEDs) measuring the generator bus angle. The scheme maps the GOOSE packets to quantized energy levels. The detector IED receives the launched GOOSE from disturbed generators through the Wide Area Monitoring, Protection and Control (WAMPAC) System and evaluates the system stability accordingly. The areas under the positive energy intervals above the time axis determine the stability for the oscillatory swing. It has been proven that the area under positive energy levels is proportional to the number of GOOSE packets emitted during these intervals. For the fast monotonic swing, the quantized energy pattern shows quasi-stable intermediate energy levels between two high energy levels, where the scheme detects the transition to the second higher level as an indication of instability, with enough time in advance for corrective measures. The scheme is Phasor Measurement Unit (PMU)-independent, thus eliminating the burden and cost of synchronization requirements. The new scheme has been tested using the IEEE 39 Bus System. The results show the scheme’s capability to predict instability 87 ms prior to its occurrence, which is an adequate time for remedial action.

Keywords

Quantized energy / Energy swing balance / Power swing / Stability assessment / GOOSE / WAMPAC

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Ehab El-Metwally, Mohamed EL-Shimy, Adel Sharaf. A Fast Acting Quantized Energy Balance Criterion for Power System Instability Detection Based on WAMPAC GOOSE Pulses Induced by Small Speed Perturbations. Smart Energy Syst. Res., 2026, 2(1): 10005 DOI:10.70322/sesr.2026.10005

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Author Contributions

Conceptualization, E.E.-M. and M.E.-S.; Methodology, E.E.-M.; Software, E.E.-M.; Validation, A.S.; Formal Analysis, E.E.-M.; Investigation, A.S.; Writing—Original Draft Preparation, E.E.-M.; Supervision, M.E.-S.

Ethics Statement

Not applicable.

Informed Consent Statement

Not Applicable.

Data Availability Statement

Research data is available upon request.

Funding

This research received no external funding.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

[1]

NERC. PRC-026-1—Relay Performance During Stable Power Swings; North American Electric Reliability Corporation: Washington, DC, USA, 2014.

[2]

IEEE Power System Relaying Committee Working Group D6. Power Swing and Out-of-Step Considerations on Transmission Lines. 2006. Available online: https://www.ewh.ieee.org/r6/san_francisco/pes/pes_pdf/OutOfStep/PowerSwingOOS.pdf (accessed on 20 March 2026).

[3]

Elmore WA. Protective Relaying Theory and Applications, 2nd ed.; Marcel Dekker: New York, NY, USA, 2004.

[4]

Taylor CW, Haner JM, Hill LA, Mittelstadt WA, Cresap RL. A New Out-of-Step Relay with Rate of Change of Apparent Resistance Augmentation. IEEE Trans. Power Appar. Syst. 1983, PAS-102, 631-639. DOI:10.1109/TPAS.1983.317984

[5]

Tziouvaras DA, Hou D.Out-of-step protection fundamentals and advancements. In Proceedings of the 57th Annual Conference for Protective Relay Engineers, College Station, TX, USA, 1 April 2004; pp. 282-307.

[6]

Rebizant W, Feser K. Fuzzy logic application to out-of-step protection of generators. In Proceedings of the 2001 Power Engineering Society Summer Meeting, Vancouver, BC, Canada, 15-19 July 2001; pp. 927-932. DOI:10.1109/PESS.2001.970179

[7]

Kundu P, Pradhan AK. Wide area measurement based protection support during power swing. Int. J. Electr. Power Energy Syst. 2014, 63, 546-554. DOI:10.1016/j.ijepes.2014.06.009

[8]

Abdelaziz AY, Irving MR, Mansour MM, El-Arabaty AM, Nosseir AI. Adaptive protection strategies for detecting power system out-of-step conditions using neural networks. IEE Proc. Gener. Transmiss. Distrib. 1998, 145, 387. DOI:10.1049/ip-gtd:19981994

[9]

Hashiesh F, Mostafa HE, Helal I, Mansour MM. A wide area synchrophasor based ANN transient stability predictor for the Egyptian Power System. In Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), Gothenberg, Sweden, 11-13 October 2010; pp. 1-7. DOI:10.1109/ISGTEUROPE.2010.5638923

[10]

Hosseini SA, Taheri B, Abyaneh HA, Razavi F. Comprehensive power swing detection by current signal modeling and prediction using the GMDH method. Prot. Control Mod. Power Syst. 2021, 6, 15. DOI:10.1186/s41601-021-00193-z

[11]

Farantatos E, Huang R, Cokkinides GJ, Meliopoulos AP. A Predictive Generator Out-of-Step Protection and Transient Stability Monitoring Scheme Enabled by a Distributed Dynamic State Estimator. IEEE Trans. Power Delivery 2016, 31, 1826-1835. DOI:10.1109/TPWRD.2015.2512268

[12]

Wei S, Yang M, Qi J, Wang J, Ma S, Han X. Model-Free MLE Estimation for Online Rotor Angle Stability Assessment with PMU Data. IEEE Trans. Power Syst. 2018, 33, 2463-2476. DOI:10.1109/TPWRS.2017.2761598

[13]

Chandra A, Pradhan AK. Model-free angle stability assessment using wide area measurements. Int. J. Electr. Power Energy Syst. 2020, 120, 105972. DOI:10.1016/j.ijepes.2020.105972

[14]

El-Metwally EA, Attia MA, El-Shimy M. A non-PMU-based WAN protection scheme for swing detection and stability enhancement in power systems. Electr. Eng. 2023, 105, 3191-3208. DOI:10.1007/s00202-023-01843-1

[15]

Padiyar KR. Power System Dynamics: Stability & Control; Wiley: Hoboken, NJ, USA, 1999.

[16]

Centeno V, Phadke AG, Edris A, Benton J, Gaudi M, Michel G. An adaptive out-of-step relay [for power system protection]. IEEE Trans. Power Deliv. 1997, 12, 61-71. DOI:10.1109/61.568226

[17]

Paudyal S, Ramakrishna G, Sachdev MS. Application of Equal Area Criterion Conditions in the Time Domain for Out-of-Step Protection. IEEE Trans. Power Deliv. 2010, 25, 600-609. DOI:10.1109/TPWRD.2009.2032326

[18]

Kundur P. Power System Stability and Control; McGraw-Hill: New York, NY, USA, 1994.

[19]

Krause PC, Wasynczuk O, Sudhoff SD. Analysis of Electric Machinery and Drive Systems; IEEE Press/Wiley: Hoboken, NJ, USA, 2025.

[20]

IEC 61850-8-5; Communication Networks and Systems for Power Utility Automation—Part 5: Communication Requirements for Functions and Device Models. Technical Committee TC 57—Power Systems Management and Associated Information Exchange, International Electrotechnical Commission: Geneva, Switzerland, 2022.

[21]

Giannelos S, Konstantelos I, Pudjianto D, Strbac G. The impact of electrolyser allocation on Great Britain’s electricity transmission system in 2050. Int. J. Hydrogen Energy 2026, 202, 153097. DOI:10.1016/j.ijhydene.2025.153097

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