Move buses in slider diagrams

edit

Now to Steps 1 & 2:

Copy the loadflow solution (bus based reports without wide format output option) from the output bar and save it in text file format.

Read file with a python script and parse using regular expressions as follows:

import numpy as np
import matplotlib.pyplot as plt
import re, string

text_file = open("loadflow.txt", "r")
a = text_file.read()
text_file.close()

b = re.sub('\r\n', '', a)
lines = re.split('BUS', b)

genDat = []
for line in lines:
    if re.search('GENERATION', line):
        genDat.append(re.search('^\s*(\d{5}).*(?:TO)\s*(\d{5})(?:\s*\S*){2}\s*(\d)\s*([0-9]+(?:\.[0-9]*)?)', line).groups())
genDat = [list(i) for i in genDat]

That bit of code picks all the generation data for me. I use similar bits for extracting the load and line data.

I must reiterate that my current solution is to work outside PSSE. The solution consists of the following steps:

1. Take a load flow solution in txt format.
2. Run a re script through the txt file to separate generation, load and line flow data.
3. Fix co-ordinates of all buses according to your paper space.
4. Call matplotlib to draw all the connecting lines and labels.

Note: I am not a professional programmer and I an not sure that this is easier to do than manipulating slider diagrams. But this is definitely another way of presenting your load flow results.

On to the tedious part that is Step 3. This involves mapping the bus number to its abbreviated name, display name and its co-ordinates in the paper space.

rncpg = [51,32] # mapping of bus to position in paper space
parupg = [227,97] 
mthnpg = [247,144] 
mthnrb = [220,155] 


busMark = [
    [45400, rncpg, 'Ranchi(PG)'], # mapping of bus to it abbreviated name and display name
    [45401, parupg, 'Parulia(PG)'],
    [45403, mthnpg, 'Maithon(PG)'],
    [44400, mthnrb, 'MaithonRB'] 
    ]

Getting a presentable layout will require a lot of trial and error. A diagram can say more than a thousand words. But getting it right can be a real pain in the ....

Now finish it off with a flourish. Generate the plot with your favorite application. Here is one way to do it.

fig = plt.figure()
ax = fig.add_subplot(111)

for bus, (x, y), name in busMark:
    marker = ax.plot(x, y, 'ko')
    plt.text(x, y, name, fontsize=6) 

ax.set_xlim(0,285)
ax.set_ylim(0,180)
ax.axes.get_xaxis().set_visible(False)
ax.axes.get_yaxis().set_visible(False)
ax.set_title('load flow plot')
plt.show()

fig.set_size_inches(11.22,7.08)
extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
fig.savefig("loadflow.png", bbox_inches=extent)

I have limited myself to the bus markings but this should adequate to convey the general procedure. I am sure I am not the only guy working on this diagram problem. Let us know about your ideas.

for small number of buses, this code creates a slider within PSSe, though it does not set the proper X,Y coordinates:

#slider3.py
'''
Load a case (bus numbering assumes savnw.sav is loaded)
Open a new (blank) diagram
run this code 
'''
def DrawBusesSLD(buslist):
    n_buses=len(buslist)
    buses=[]
    for i in range(n_buses):
        buses.append(buslist[i][0])

    for i in range(n_buses):
        psspy.growbus(buslist[i][0],buslist[i][1], buslist[i][2])

# main:
busdata=[
         [203, 0, 0],
         [204, 2, 0],         #not drawn due to being a dummy bus in a multisection line
         [205, 2, 2],      
         [206, 0, 2]
        ]

DrawBusesSLD(busdata)

I realize this post is a bit late, but it may help someone. Try using the slider.py module. This module is included with your PSSE download. If you contact Siemens PSSE technical support they will provide you with the documentation and some examples of how to use this module. One of the examples shows how to create your own diagram, including how to place a bus in a certain location.

I have created for myself simple solution for automatic creation of sld diagram containing necessary buses placed in the right places. Save following gif file and change extension from gif to zip, inside there are one excel file and one python file. Excel template is for preparing list of buses containing x and y coordinates for each bus. On "buses" sheet put bus numbers in the cells where approximately they should appear on your sld file. Then run macro "PreapreForPython" (to do that you will probably need to enable Developer tab). than copy-paste from another sheet list of buses into python just after "buses=" line. Than open in psse blank sld and run that python script. All buses will be more or less in right places. Of course this thing could be improved, feel free to do that, just don't forget to put better solution here :)

PSSE_SLD.gif

Hi, Could you share the code again? The link doesn't work now. I am struggling using python to drwa the SLD.