notes

# automated routine 2:
# replace an xfmr with larger ampacity on various branches and determine the xfmr that
# -> reduces line congestion the most
# -> reduced fault currents the most
# -> reduces line+xfmr overloading the most

# automated routine 1:
# add a transmission line to various buses and determine the bus that
# -> reduces line congestion the most
# -> reduces fault currents the most
# -> reduces line+xfmr overloading the most

# routine 4:
# given a bus of interest,
# add a transmission line and return summary of changes to congestion, fault currents, and line+xfmr loading

# routine 3:
# iterate over all posible generator locations and add a solar or wind farm
# assessment: run a dynamic simulation, then assess the transient stability (based on overshoot & settling time of critical channels)
# return best location for generator

#----------------------------------------
# To make root-locus automation:
# put dynamic sim initialization init steps into function

# init_dyn_sim()
for Kpvals in [0.2,0.3,0.4]:
    raw_output=run_dyn_sim(type='bump',parm_name,parm_val)
    res=collect_results(raw_output)
    add_res_to_plot_overlay(res, channel=parm_name)
plt.show()


# [done] 1. dyntools func covers collect_results and add_res_to_plot_overlay
# 2. modify dyntools sample sim to rerun 3 times with different parm values that produces 3 .out file
# 3. setup to load recording of sim from separate file

# next,
# record you running your sim manually, then have a script that
(1) varies one parameter
(2) executes the recording,
(3) saves to .out with param+value in the name