GOOSE "Flooding"

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I have heard some people refer to an event happening and the LAN network getting flooded with GOOSE messages to the point of saturation of the network bandwidth.

Is this really true?

How many GOOSE per second?

IEC 61850 8-1 Ed2 cl 8.1.2.5.1 and fig 8. “Additional reliability is achieved by re-transmitting the same data with gradually increasing SqNum and retransmission time”.

Also Part 2 Glossary “This report is re-issued sequentially, typically after the first report, again at intervals of 2, 4, 8…60000 ms. (The first repetition delay value is an open value it may be either shorter or longer)”.

According to IEC 61850-8-1Ed2 18.1.2.5.2, the minimum timeAllowedtoLive to start is 1 ms and can have a maximum value of 4294967295 ms (just under 50 days)

According to IEC 61850-8-1Ed2, Fig 10, Key 2, it is suggested that the message re-transmit timer actually send at half the timeAllowedtoLive value.

Taking the first retransmission set to, say, 5ms you would then get another retransmission at 15 ms after the event (+10 ms), then 35 ms (+20 ms), then 75 ms (+40 ms), then 155 ms (+80 ms), then 315 ms (+160 ms), then 635 ms (+320 ms) and the next would be 1275 ms after the event (+640 ms) being the 9th message in total.

The next message would have a wait time of 1280 ms making the 10th message at 2.555 s and then a further 2.56 seconds till the 11th message at 5.115 seconds after the event.

Even if the first retransmission time is set to 1 ms then you would only get the 12th message occurring at 1024 ms after the event.

A 'flood' of 200 messages from one IED in 1 second is simply not possible.

How many GOOSE from one IED due to one 'event'?

The question is then how many GOOSE fast re-transmits would be initiated by one substation event?

Well this is a good question based on how good is the GOOSE configuration policy of the utility/systems integrator.

One event can cause a new StNum GOOSE from one IED with a certain Dataset. The SqNum would reset to 0

The IED may even have multiple GOOSE with a different Datasets - but that different Dataset would not have any of the same data elements as the first GOOSE - that would be pointless since any IED can subscribe to any GOOSE so it is not necessary to have the same data in two different GOOSE unless there was some bandwidth/processing problem with the subscribing IEDs.that needed sophisticated combinations of data in one GOOSE.

As far as the individual IED is concerned there is likely to be only one GOOSE which goes through the restart of the fast re-transmission sequence for any particular event. Even if there is multiple GOOSE from that IED, there certainly is not going to be thousands of different GOOSE from that IED as a result (unless there has been really poor GOOSE policies used).

This is not an uncontrolled "flood". 

It is engineered and hence can be managed to make sure it doesn't cause a problem on the network.

How many IEDs send GOOSE as a result of one event?

A CB status of close to open may give cause to the No1 and No2 (X and Y, Main and Backup) systems each to send a new StNum GOOSE from each CB Interface IED.

Similarly a protection operation in one bay would result in a GOOSE from each of the protection function No1 and No2 IEDS.

For multiple IEDs to initiate a new StNum GOOSE, they each have to have the same cause (same input conditions) and it would be specifically designed to do so.

It is possible that one event has multiple symptoms giving rise to two or more IEDs sending a new StNum GOOSE each in their own right  eg CB opening gives rise to XCBR.pos changing from 1 to 0 and MMXU.PhV changing from 400 kV to zero.  However again this is by design of the System.

One GOOSE being received by one IED may then lead to that IED issuing its own new GOOSE StNum as a result of its function but that is what you'd expect.

None of these conditions is a "flood".

Are 40 messages considered a "flood"?

The permitted value of timeAllowedtoLive (the interval before the next retransmission) is a MAXIMUM value of 4,294,967,295 mS.

If the timeAllowedtoLive = 1000 mS, it will take over 30 seconds to publish 40 messages as demonstrated in these tables:

 Click here to expand detailed table of retransmissions for 1 s max time to live...


Maximum timeAllowedtoLive = 1000 ms

Message
number


       1st retransmit 1 ms         1st retransmit 5 ms

Interval
til next
retransmit
(ms)

Time
after
event
(ms)


Interval
til next
retransmit
(ms)

Time
after
event
(ms)

1

     

1

1


5

5

2


2

3


10

15

3


4

7


20

35

4


8

15


40

75

5


16

31


80

155

6


32

63


160

315

7


64

127


320

635

8


128

255


640

1,275

9


256

511


1,280

2,555

10


512

1,023


1,000

3,555

11


1,024

2,047


1,000

4,555

12


1,000

3,047


1,000

5,555

13


1,000

4,047


1,000

6,555

14


1,000

5,047


1,000

7,555

15


1,000

6,047


1,000

8,555

16


1,000

7,047


1,000

9,555

17


1,000

8,047


1,000

10,555

18


1,000

9,047


1,000

11,555

19


1,000

10,047


1,000

12,555

20


1,000

11,047


1,000

13,555

21


1,000

12,047


1,000

14,555

22


1,000

13,047


1,000

15,555

23


1,000

14,047


1,000

16,555

24


1,000

15,047


1,000

17,555

25


1,000

16,047


1,000

18,555

26


1,000

17,047


1,000

19,555

27


1,000

18,047


1,000

20,555

28


1,000

19,047


1,000

21,555

29


1,000

20,047


1,000

22,555

30


1,000

21,047


1,000

23,555

31


1,000

22,047


1,000

24,555

32


1,000

23,047


1,000

25,555

33


1,000

24,047


1,000

26,555

34


1,000

25,047


1,000

27,555

35


1,000

26,047


1,000

28,555

36


1,000

27,047


1,000

29,555

37


1,000

28,047


1,000

30,555

38


1,000

29,047


1,000

31,555

39


1,000

30,047


1,000

32,555

40


1,000

31,047


1,000

33,555


If the timeAllowedtoLive = 4,294,967,295 ms (i.e. the maximum), it will take over 447 days (first retransmit 1 ms) or 559 days (first retransmit 5 ms)  to publish 40 messages

 Click here to expand detailed table of retransmissions for maximum setting of max time to live...


Maximum timeAllowedtoLive = 4,294,967,295 ms


1st retransmit 1 ms
1st retransmit 5 ms

Message
number


Interval till next
retransmit

Time after
event


Interval till next
retransmit

Time after
event



(ms)
(ms)

(ms)
(ms)

1


1


1



5


5


2


2


3



10


15


3


4


7



20


35


4


8


15



40


75


5


16


31



80


155


6


32


63



160


315


7


64


127



320


635


8


128


255



640


1,275

1.3 s

9


256


511



1,280

1.3 s

2,555

2.6 s

10


512


1,023

1 s


2,560

2.6 s

5,115

5.1 s

11


1,024

1 s

2,047

2 s


5,120

5.1 s

10,235

10.2 s

12


2,048

2 s

4,095

4.1 s


10,240

10.2 s

20,475

20.5 s

13


4,096

4.1 s

8,191

8.2 s


20,480

20.5 s

40,955

41 s

14


8,192

8.2 s

16,383

16.4 s


40,960

41 s

81,915

1.4 min

15


16,384

16.4 s

32,767

32.8 s


81,920

1.4 min

163,835

2.7 min

16


32,768

32.8 s

65,535

1.1 min


163,840

2.7 min

327,675

5.5 min

17


65,536

1.1 min

131,071

2.2 min


327,680

5.5 min

655,355

10.9 min

18


131,072

2.2 min

262,143

4.4 min


655,360

10.9 min

1,310,715

21.8 min

19


262,144

4.4 min

524,287

8.7 min


1,310,720

21.8 min

2,621,435

43.7 min

20


524,288

8.7 min

1,048,575

17.5 min


2,621,440

43.7 min

5,242,875

1.5 hr

21


1,048,576

17.5 min

2,097,151

35 min


5,242,880

1.5 hr

10,485,755

2.9 hr

22


2,097,152

35 min

4,194,303

1.2 hr


10,485,760

2.9 hr

20,971,515

5.8 hr

23


4,194,304

1.2 hr

8,388,607

2.3 hr


20,971,520

5.8 hr

41,943,035

11.7 hr

24


8,388,608

2.3 hr

16,777,215

4.7 hr


41,943,040

11.7 hr

83,886,075

23.3 hr

25


16,777,216

4.7 hr

33,554,431

9.3 hr


83,886,080

23.3 hr

167,772,155

1.9 day

26


33,554,432

9.3 hr

67,108,863

18.6 hr


167,772,160

1.9 day

335,544,315

3.9 day

27


67,108,864

18.6 hr

134,217,727

1.6 day


335,544,320

3.9 day

671,088,635

7.8 day

28


134,217,728

1.6 day

268,435,455

3.1 day


671,088,640

7.8 day

1,342,177,275

15.5 day

29


268,435,456

3.1 day

536,870,911

6.2 day


1,342,177,280

15.5 day

2,684,354,555

31.1 day

30


536,870,912

6.2 day

1,073,741,823

12.4 day


2,684,354,560

31.1 day

5,368,709,115

62.1 day

31


1,073,741,824

12.4 day

2,147,483,647

24.9 day


4,294,967,295

49.7 day

9,663,676,410

111.8 day

32


2,147,483,648

24.9 day

4,294,967,295

49.7 day


4,294,967,295

49.7 day

13,958,643,705

161.6 day

33


4,294,967,295

49.7 day

8,589,934,590

99.4 day


4,294,967,295

49.7 day

18,253,611,000

211.3 day

34


4,294,967,295

49.7 day

12,884,901,885

149.1 day


4,294,967,295

49.7 day

22,548,578,295

261 day

35


4,294,967,295

49.7 day

17,179,869,180

198.8 day


4,294,967,295

49.7 day

26,843,545,590

310.7 day

36


4,294,967,295

49.7 day

21,474,836,475

248.6 day


4,294,967,295

49.7 day

31,138,512,885

360.4 day

37


4,294,967,295

49.7 day

25,769,803,770

298.3 day


4,294,967,295

49.7 day

35,433,480,180

410.1 day

38


4,294,967,295

49.7 day

30,064,771,065

348 day


4,294,967,295

49.7 day

39,728,447,475

459.8 day

39


4,294,967,295

49.7 day

34,359,738,360

397.7 day


4,294,967,295

49.7 day

44,023,414,770

509.5 day

40


4,294,967,295

49.7 day

38,654,705,655

447.4 day


4,294,967,295

49.7 day

48,318,382,065

559.2 day

 

Bandwidth

The last issue is then to deal with the actual bandwidth requirements of the LAN and the IEDs.

The maximum size Ethernet frame is 1542 Bytes i.e. 12336 bits, hence even a 100 Mbit/s link can handle AT LEAST 8106 messages per second, and hence MANY times that if each message is say only a few hundred bytes as even larger size GOOSE with "dozens" of elements are likely to be - I mean there is potentially a lot of individual Data Attributes that could be put into a Dataset but realistically there are only a few that need to be included in a GOOSE Dataset .. especially if there has been good design principles such as using PTRC as a grouping of trip initiation Logical Nodes!  I would be interested to get an email from you with the largest size GOOSE message you have seen and the reason why: rgh AT rodhughesconsulting DOT com

Clearly GOOSE does not "flood"

...... unless the Systems Integrator designs in very poor mechanisms.

 

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