Large power-systems for power-flow study 1

[smilingbuddha]

I have just been started on a research project which involves finding ways to speed up the solution time of the power-flow problem (see Wikipedia here) which is basically calculating voltages at each of the buses of a given power system.

I have a few data-sets like the standard IEEE power-flow test cases, mentioned here

However, these bus-systems are still very small. Is there any database (like the standard IEEE power-flow test cases mentioned above), but with a large number of buses. Large being on the order of 1000 to 10000 buses, or even larger.

If also there is some standard algorithm for generating a "fake" power system with an arbitrary number of buses, or standard technique to join say several IEEE 300 bus systems to make a larger network, that would also be helpful.

 

[tlrols]

Use the way back machine. Go to the following URL:

http://web.archive.org/

and search

http://www.ferc.gov

archives before September 2001. The FERC 715 filings (i.e. power flow cases) are available from that time frame. Indeed, they are still available if you care to go through a small amount of paper work to obtain the material. The idea that power flow cases are a ready aid to bad people is terribly overstated but the present CEII rules limit the ease with which we can share them.

So, yes, you can get very large cases with little effort.

You might be surprised to know that speed of solution is NOT an issue for any modern Operations or Planning Engineer. The biggest hangup is the human being reading the thousands of results and deciding what it means. Having said that, I would suggest that the art of power system modeling is be no means a completed product and that any improvements are good in their own right.

In the real time environment power flows can be pounded out quickly enough...transient stability studies perhaps not as fast. The real issue is again processing the results into some actionable set of switching orders, etc for an operator.

The comments about bad data are always relevant...