A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges
<p>The flowchart of the review methodology used.</p> "> Figure 2
<p>State-of-the-art flow chart of power systems blackout and cascading events: motivations and challenges.</p> "> Figure 3
<p>Blackout events in different USA states [<a href="#B54-energies-12-00682" class="html-bibr">54</a>].</p> "> Figure 4
<p>Major electric power system blackout causes [<a href="#B54-energies-12-00682" class="html-bibr">54</a>,<a href="#B56-energies-12-00682" class="html-bibr">56</a>,<a href="#B57-energies-12-00682" class="html-bibr">57</a>].</p> "> Figure 5
<p>Major electric power system blackout causes.</p> ">
Abstract
:1. Introduction
1.1. An Overview and Motivations
1.2. Survey Methodology
1.3. Contributions and Review Structure
2. Blackouts around the Globe
3. US Blackouts
4. Major Recorded Blackout Events
4.1. Major Blackout in the U.S.-Canadian System
4.2. Major Blackout in the Swedish-Danish System
4.3. Major Blackout in Italy
4.4. Major Blackout in India
4.5. Major Blackout in the Brazilian Grid
5. Major Blackout Causes around the Globe
- Transmission lines overloading or online generator tripping,
- Increase or decrease of the system frequency,
- Power system voltage collapse,
- Generators losing synchronism,
- Growing low-frequency oscillation of large power systems.
6. Cascading Event Modeling and Analysis
7. Impacts of Blackouts
8. Research Gaps and Directions
8.1. Practical Challenges and Research Gaps
- Considering the high penetration of renewable energy resource and distributed generation in blackout studies and planning of power system protection schemes.
- Considering the fluctuations of some important parameters in the modern power systems such as total inertia, damping coefficient, and stability indices.
- Investigating other indices for online stability and reliability assessment.
- Online coordination of the different control schemes in power systems can help with reduction of power outages.
- Online coordination of the different protective functions has a direct impact on the rate of blackout cascading events.
- Considering the real-time monitoring technologies for improving decision-making in the emergency situations in power systems.
- Investigating the ability of wide-area measurement systems in improving the reliability and security of the modern power system.
- Investigating the possibility of online coordination of protective functions for improving their performance in modern and future power systems.
- Considering the smart grid features in future protective function design.
- Proposing new protective methods that make use of wide area measurement system (WAMS) technologies.
- Increasing the protection against the cyber-attack issues.
8.2. Future Research Directions
9. Conclusions
- Most power system blackouts start due to bad weather followed by subsequent cascading events; therefore, weather forecasting techniques must be updated and power systems operators must have this information to prepare for such events.
- The other major cause was faulty equipment and human error, power system equipment is rated to operate under specific conditions and for specific durations before periodic checks or planned maintenance. These issues must be emphasized in power systems and standards adhered to.
- An upgrade of the power system monitoring, control and protection schemes is required to enhance system reliability. The wide area measurement systems (WAMS) platform is one of the promising platforms.
- Customers must be encouraged to participate in the demand side management programs such as the emergency demand response.
- Reserve management of most power systems must be improved—at any time, a specific share of generation must be allocated as a reserve. Ways to minimize the initial costs of renewable energies to be found and renewables must be used to supplement conventional generation.
- Pre-disturbance systems studies must be done and also include the possible cascading events.
- UFLS techniques must be improved so that they can quickly respond and shed enough load in emergencies.
Author Contributions
Funding
Conflicts of Interest
Abbreviations
AC | Alternate Current |
AI | Artificial Intelligence |
ACE | Area Control Error |
AE | aqua Electrolyzer |
AGC | Automatic Generation Control |
BPS | Bangladesh Power System |
DC | Direct Current |
FACTS | Flexible AC Transmission System |
HVDC | High Voltage Direct Current |
QSS | Quasi-Steady-State |
RTCA | Real Time Contingency Analysis |
SG | Smart Grid |
MISO | Midwest ISO |
NERC | North American Electric Reliability Council |
DG | Distributed Generation |
PMU | Phasor Measurement System |
UFLS | Under Frequency Load Shedding |
UVLS | Under Voltage Load shedding |
WAMS | Wide-Area Measurement System |
WAMCPS | Wide-Area Monitoring, Control, and Protection System |
WECC | Western Electricity Coordinating Council |
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Issue | Criterion |
---|---|
Sector | Electric Power System (EPS) |
General Topic | Power system contingency, security and protection |
Discipline | Power system failure and disturbances |
Very specific topic | Blackout & Cascading Events |
Keywords I | Power system emergency, power system security, power system stability |
Keywords II | Blackout, power outages, power cuts, cascading events |
Language | English (En) |
Availability | Online available only |
Databases | IEEE, MDPI, Scopus, ScienceDirect, Springer, Wiley, and Taylor and Francis |
Publication type | Research articles, Books, Conference papers and Standards |
Issue | Number | Percentage |
---|---|---|
Articles | 101 | 78.29 |
Conference papers | 54 | 13.17 |
Standards | 8 | 6.24 |
Books and book chapters | 3 | 2.3 |
Region | Number of Power Outages | Duration of Each Power Outage (hours) |
---|---|---|
East Asia and Pacific | 200 | 6.00 |
Eastern Europe and Central Asia | 100 | 6.50 |
Latin America and Caribbean | 40 | 8.00 |
Middle East & North Africa | 50 | 4.00 |
South Asia | 1200 | 2.50 |
Sub Saharan Africa | 210 | 7.50 |
The rest of the countries | 250 | 5.00 |
Year | Total Number of Outages | People Affected (million) |
---|---|---|
2008 | 2169 | 25.8 |
2009 | 2840 | 13.5 |
2010 | 3149 | 17.5 |
2011 | 3071 | 41.8 |
2012 | 2808 | 25.0 |
2013 | 3236 | 14.0 |
2014 | 3634 | 14.2 |
2015 | 3571 | 13.2 |
Issue | Criterion |
---|---|
Total number of people affected by outages | 13,263,473 |
Total duration of outages | 175,821 min |
Total number of outages | 3571 |
Average number of people affected per outage | 3714 |
Average duration of outage | 49 min |
References | Country/Region | Date | Duration (hours) | Affected People (million) | Causes |
---|---|---|---|---|---|
[35,36] | Mexico & the USA | 8 September 2011 | 12 | 2.7 | Transmission line tripping |
[38,83] | Brazil | 4 February 2011 | 16 | 53 | Transmission line fault and fluctuated power flow |
[41,42,43] | India | 30 July 2012 | 15 | 620 | Transmission line overload |
[44] | Vietnam | 22 May 2013 | 10 | 10 | Crane operator |
[45,86] | Philippines | 6 August 2013 | 12 | 8 | Voltage collapse |
[44,46] | Thailand | 2013 | 10 | 8 | Lightning strike |
[47] | Bangladesh | 1 November 2014 | 24 | 150 | HVDC station outage |
[49,50] | Pakistan | 26 January 2015 | 2 | 140 | Plant technical fault |
[39] | Holland | 27 March 2015 | 1.5 | 1 | Bad weather conditions |
[51,87] | Turkey | 31 March 2015 | 4 | 70 | Power system failure |
[88,89] | Ukraine | 21 November 2015 | 6 | 1.2 | Power system failure |
[88,90,91] | Ukraine | 23 December 2015 | 6 | 230 | Cyber-attack |
[52,53] | Kenya | 7 June 2016 | 4 | 10 | Animal shorted the transformer |
[92,93,94] | Sri Lanka | 3 March 2016 | 16 | 10 | A severe thunderstorm |
[95,96,97,98,99] | South Australia | 28 September 2016 | 6.1 | 1.7 | Storm damage to transmission infrastructure & cascading events |
[57,100] | the US (NY) | 1 March 2017 | 11 | 21 | Cascading failure in transmission system |
[101] | Uruguay | 26 August 2017 | 4 | 3.4 | Bad weather conditions lead to cascading failures |
[57,102] | US (southeast) | 10 September 2017 | 5 | 7.6 | Cascading events and transmission tripping |
[103,104,105,106] | Sudan | 10 January 2018 | 24 | 41.5 | Cascading failures |
[107,108,109] | Azerbaijan | 3 July 2018 | 8 | 8 | Unexpectedly high temperatures |
[81,82,83,110] | Brazil | 21 March 2018 | 1 | 10 | Transmission line failure |
[78,111] | Canada (BC) | 20 December 2018 | 4 | 0.6 | Winds reached speeds of 100 km/h |
Blackout Cause | Number Recorded | % of the Recorded Number |
---|---|---|
Weather/Trees | 33 | 50 |
Faulty equipment or human error | 21 | 31.8 |
Vehicle/Accidents | 7 | 10.6 |
Animals | 1 | 1.5 |
Over demand | 4 | 6.1 |
Total | 66 | 100 |
References | Blackout | Initial Cause | Cascading Events |
---|---|---|---|
[61,62] | the US & Canada (2003) | East lake Generator tripping due to incorrect data from monitoring system | i—Transmission line trips after contact with a tree ii—Alarm system failure iii—345 kV Chamberli-Harding linie sags on to a tree and trips iv—Voltage dips and no AVR action v—Successive line trip due to under voltage |
[64,69] | Sweden–Denmark (2003) | 1200 MW Nuclear power plant trips due to problems with steam valve | i— A double bus-bar fault on one of the substations ii—Transmission line tripping due to overload iii—Generator tripping due to under frequency iv—400 kV north-south interconnecting transmission line trips |
[72,73] | Italy (September 2003) | Tree flashover caused the tripping of a major transmission line | i—Automatic breaker failed to re-close due to synchronization problems ii—380 kV transmission line failure due to delayed re-dispatch of power iii—Loss of synchronism with the other parts of Europe iv—Frequency fell to 49 Hz and then to 47.5 in 2.5 min and generators tripped |
[41,42,43] | India (July 2012) | Circuit breaker on 400 kV Bina-Gwalior tripped | i—Tripping of Agra Bareilly breakers ii—Power failure cascading through the grid due to under voltage iii—The following day a relay failure occurred near Taj Mahal iv—Power stations across affected parts went offline |
[44,46] | Thailand (2013) | Failure in major AC tie-line | i—A 500 MW power station was interrupted ii—Major tie line for power distribution was affected iii—Further system generator tripped on under voltage and frequency |
[47] | BPS (November 2014) | HVDC lines outage | i—Insufficient load shedding ii—Subsequent generator tripping on overload iii—Transmission lines disconnection due to under voltage |
[52,53] | Kenya (June 2016) | Monkey led to tripping of the transformer | i—Generators at the plant tripped on overload ii—180 MW lost from Gitaru iii—Voltage drop led to subsequent transmissions tripping |
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Haes Alhelou, H.; Hamedani-Golshan, M.E.; Njenda, T.C.; Siano, P. A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges. Energies 2019, 12, 682. https://doi.org/10.3390/en12040682
Haes Alhelou H, Hamedani-Golshan ME, Njenda TC, Siano P. A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges. Energies. 2019; 12(4):682. https://doi.org/10.3390/en12040682
Chicago/Turabian StyleHaes Alhelou, Hassan, Mohamad Esmail Hamedani-Golshan, Takawira Cuthbert Njenda, and Pierluigi Siano. 2019. "A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges" Energies 12, no. 4: 682. https://doi.org/10.3390/en12040682
APA StyleHaes Alhelou, H., Hamedani-Golshan, M. E., Njenda, T. C., & Siano, P. (2019). A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges. Energies, 12(4), 682. https://doi.org/10.3390/en12040682