Tutorial 0: Data creation
This tutorial briefly introduces how to create a system using PowerSystems.jl
data structures. The tutorial will guide you to create the JSON data file for the tutorial 1. We start by calling PowerSystems.jl
:
using PowerSystems
const PSY = PowerSystems
Step 1: System description
Next we need to define the different elements required to run a simulation. To run a simulation in LITS
, it is required to define a PSY.System
that contains the following components:
Static Components:
We called static components to those that are used to run a Power Flow problem. Basically those are:
- Vector of
PSY.Bus
elements, that define all the buses in the network. - Vector of
PSY.Branch
elements, that define all the branches elements (that connect two buses) in the network. - Vector of
PSY.StaticInjection
elements, that define all the devices connected to buses that can inject (or withdraw) power. These static devices, typically generators, inLITS
are used to solve the Power Flow problem that determines the active and reactive power provided for each device. - Vector of
PSY.PowerLoad
elements, that define all the loads connected to buses that can withdraw current. These are also used to solve the Power Flow. In addition, note thatLITS
will convert ConstantPower loads to RLC loads for transient simulations. - Vector of
PSY.Source
elements, that define source components behind a reactance that can inject or withdraw current. - The base of power used to define per unit values, in MVA as a
Float64
value. - The base frequency used in the system, in Hz as a
Float64
value.
Dynamic Components:
Dynamic components are those that define differential equations to run a transient simulation. Basically those are:
- Vector of
PSY.DynamicInjection
elements. These components must be attached to aPSY.StaticInjection
that connects the power flow solution to the dynamic formulation of such device.PSY.DynamicInjection
can bePSY.DynamicGenerator
orPSY.DynamicInverter
, and its specific formulation (i.e. differential equations) will depend on the specific components that define such device. - (Optional) Selecting which of the
PSY.Lines
(of thePSY.Branch
vector) elements must be modeled ofDynamicLines
elements, that can be used to model lines with differential equations.
To start we will define the data structures for the network.
OMIB case: Data creation
The following describes the system creation for the OMIB case.
Static System creation
There are plenty of ways to define a static system (for Power Flow purposes), but the recommended option for users is to use a PTI data format (.raw
file) or a Matpower data format (.m
file), since parsers are available. The following OMIB.raw
file is used to create the OMIB system:
0, 100, 33, 0, 0, 60 / 24-Apr-2020 17:05:49 - MATPOWER 7.0.1-dev
101, 'BUS 1 ', 230, 3, 1, 1, 1, 1.05, 0, 1.06, 0.94, 1.06, 0.94
102, 'BUS 2 ', 230, 2, 1, 1, 1, 1.04, 0, 1.06, 0.94, 1.06, 0.94
0 / END OF BUS DATA, BEGIN LOAD DATA
0 / END OF LOAD DATA, BEGIN FIXED SHUNT DATA
0 / END OF FIXED SHUNT DATA, BEGIN GENERATOR DATA
102, 1, 50, 0, 100, -100, 1.00, 0, 100, 0, 1, 0, 0, 1, 1, 100, 100, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1
0 / END OF GENERATOR DATA, BEGIN BRANCH DATA
101, 102, 1, 0.00, 0.05, 0.000, 100, 100, 100, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1
0 / END OF BRANCH DATA, BEGIN TRANSFORMER DATA
0 / END OF TRANSFORMER DATA, BEGIN AREA DATA
0 / END OF AREA DATA, BEGIN TWO-TERMINAL DC DATA
0 / END OF TWO-TERMINAL DC DATA, BEGIN VOLTAGE SOURCE CONVERTER DATA
0 / END OF VOLTAGE SOURCE CONVERTER DATA, BEGIN IMPEDANCE CORRECTION DATA
0 / END OF IMPEDANCE CORRECTION DATA, BEGIN MULTI-TERMINAL DC DATA
0 / END OF MULTI-TERMINAL DC DATA, BEGIN MULTI-SECTION LINE DATA
0 / END OF MULTI-SECTION LINE DATA, BEGIN ZONE DATA
0 / END OF ZONE DATA, BEGIN INTER-AREA TRANSFER DATA
0 / END OF INTER-AREA TRANSFER DATA, BEGIN OWNER DATA
0 / END OF OWNER DATA, BEGIN FACTS CONTROL DEVICE DATA
0 / END OF FACTS CONTROL DEVICE DATA, BEGIN SWITCHED SHUNT DATA
0 / END OF SWITCHED SHUNT DATA, BEGIN GNE DEVICE DATA
0 / END OF GNE DEVICE DATA, BEGIN INDUCTION MACHINE DATA
0 / END OF INDUCTION MACHINE DATA
Q
Based on the description provided in PTI files, this is a two-bus system, on which the bus 101 (bus 1) is the reference bus at 1.05 pu, and bus 102 (bus 2) is PV bus, to be set at 1.04 pu. There is one 100 MVA generator connected at bus 2, producing 50 MW. There is an equivalent line connecting buses 1 and 2 with a reactance of $0.05$ pu.
#To create the system you need to pass the location of the RAW file
file_dir = "OMIB.raw"
omib_sys = System(omib_file_dir)
Note that this system does not have an injection device in bus 1 (the reference bus). We can add a source with small impedance directly using a function like:
function add_source_to_ref(sys::PSY.System)
for g in PSY.get_components(StaticInjection, sys)
isa(g, ElectricLoad) && continue
g.bus.bustype == BusTypes.REF &&
error("A device is already attached to the REF bus")
end
slack_bus = [b for b in PSY.get_components(Bus, sys) if b.bustype == BusTypes.REF][1]
inf_source = Source(
name = "InfBus", #name
available = true, #availability
activepower = 0.0,
reactivepower = 0.0,
bus = slack_bus, #bus
X_th = 5e-6, #Xth
)
PSY.add_component!(sys, inf_source)
return
end
add_source_to_ref(omib_sys)
This function attempts to add a infinite source with $X_{th} = 5\cdot 10^{-6}$ pu if no other device is already attached to the reference bus.
The system can be explored directly using functions like:
collect(get_components(Source, omib_sys))
collect(get_components(Generators, omib_sys))
By exploring those it can be seen that the generators are named as: generator-bus_number-id
. Then, the generator attached at bus 2 is simply named generator-102-1
.
Dynamic Injections
We are now interested in attaching to the system the dynamic component that will be modeling our dynamic generator. Later versions will include a parser for .dyr
files.
Dynamic generator devices are composed by 5 components, namely, machine
, shaft
, avr
, tg
and pss
. So we will be adding functions to create all of its components and the generator itself:
#Machine
machine_classic() = BaseMachine(
0.0, #R
0.2995, #Xd_p
0.7087, #eq_p
)
#Shaft
shaft_damping() = SingleMass(
3.148, #H
2.0, #D
)
#AVR
avr_none() = AVRFixed(0.0)
#TG
tg_none() = TGFixed(1.0) #efficiency
#PSS
pss_none() = PSSFixed(0.0)
function dyn_gen_classic(generator)
return PSY.DynamicGenerator(
generator,
1.0, #ω_ref
machine_classic(), #machine
shaft_damping(), #shaft
avr_none(), #avr
tg_none(), #tg
pss_none(), #pss
)
end
The last function receives a static generator, and creates a PSY.DynamicGenerator
based on that specific static generator, with the specific components defined previously. This is a classic machine model without AVR, Turbine Governor and PSS.
Then we can simply create the dynamic generator as:
#Collect the static gen in the system
static_gen = get_component(Generator, omib_sys, "generator-102-1")
#Creates the dynamic generator
dyn_gen = dyn_gen_classic(static_gen)
#Add the dynamic generator the system
add_component!(omib_sys, dyn_gen)
Then we can simply export our system data to a json file that can be later read as:
to_json(omib_sys, "omib_sys.json")
Dynamic Lines case: Data creation
We will now create a three bus system with one inverter and one generator. In order to do so, we will parse the following ThreebusInverter.raw
network:
0, 100, 33, 0, 0, 60 / 24-Apr-2020 19:28:39 - MATPOWER 7.0.1-dev
101, 'BUS 1 ', 138, 3, 1, 1, 1, 1.02, 0, 1.1, 0.9, 1.1, 0.9
102, 'BUS 2 ', 138, 2, 1, 1, 1, 1.0142, 0, 1.1, 0.9, 1.1, 0.9
103, 'BUS 3 ', 138, 2, 1, 1, 1, 1.0059, 0, 1.1, 0.9, 1.1, 0.9
0 / END OF BUS DATA, BEGIN LOAD DATA
101, 1, 1, 1, 1, 50, 10, 0, 0, 0, 0, 1, 1, 0
102, 1, 1, 1, 1, 100, 30, 0, 0, 0, 0, 1, 1, 0
103, 1, 1, 1, 1, 30, 10, 0, 0, 0, 0, 1, 1, 0
0 / END OF LOAD DATA, BEGIN FIXED SHUNT DATA
0 / END OF FIXED SHUNT DATA, BEGIN GENERATOR DATA
102, 1, 70, 0, 100, -100, 1.0142, 0, 100, 0, 1, 0, 0, 1, 1, 100, 318, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1
103, 1, 80, 0, 100, -100, 1.0059, 0, 100, 0, 1, 0, 0, 1, 1, 100, 318, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1
0 / END OF GENERATOR DATA, BEGIN BRANCH DATA
101, 103, 1, 0.01000, 0.12, 0.2, 250, 250, 250, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1
101, 102, 1, 0.01000, 0.12, 0.2, 250, 250, 250, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1
102, 103, 1, 0.02000, 0.9, 1.0, 250, 250, 250, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1
0 / END OF BRANCH DATA, BEGIN TRANSFORMER DATA
0 / END OF TRANSFORMER DATA, BEGIN AREA DATA
0 / END OF AREA DATA, BEGIN TWO-TERMINAL DC DATA
0 / END OF TWO-TERMINAL DC DATA, BEGIN VOLTAGE SOURCE CONVERTER DATA
0 / END OF VOLTAGE SOURCE CONVERTER DATA, BEGIN IMPEDANCE CORRECTION DATA
0 / END OF IMPEDANCE CORRECTION DATA, BEGIN MULTI-TERMINAL DC DATA
0 / END OF MULTI-TERMINAL DC DATA, BEGIN MULTI-SECTION LINE DATA
0 / END OF MULTI-SECTION LINE DATA, BEGIN ZONE DATA
0 / END OF ZONE DATA, BEGIN INTER-AREA TRANSFER DATA
0 / END OF INTER-AREA TRANSFER DATA, BEGIN OWNER DATA
0 / END OF OWNER DATA, BEGIN FACTS CONTROL DEVICE DATA
0 / END OF FACTS CONTROL DEVICE DATA, BEGIN SWITCHED SHUNT DATA
0 / END OF SWITCHED SHUNT DATA, BEGIN GNE DEVICE DATA
0 / END OF GNE DEVICE DATA, BEGIN INDUCTION MACHINE DATA
0 / END OF INDUCTION MACHINE DATA
Q
That describes a three bus connected system, with generators connected at bus 2 and 3, and loads in three buses. We can load the system and attach an infinite source on the reference bus:
sys_file_dir = "ThreeBusInverter.raw")
threebus_sys = System(sys_file_dir)
add_source_to_ref(threebus_sys)
We will connect a One-d-one-q machine at bus 102, and a Virtual Synchronous Generator Inverter at bus 103. An inverter is composed by a converter
, outer control
, inner control
, dc source
, frequency estimator
and a filter
.
Dynamic Inverter definition
We will create specific functions to create the components of the inverter as follows:
#Define converter as an AverageConverter
converter_high_power() = AverageConverter(rated_voltage = 138.0, rated_current = 100.0)
#Define Outer Control as a composition of Virtual Inertia + Reactive Power Droop
function outer_control()
function virtual_inertia()
return VirtualInertia(Ta = 2.0, kd = 400.0, kω = 20.0)
end
function reactive_droop()
return ReactivePowerDroop(kq = 0.2, ωf = 1000.0)
end
return OuterControl(virtual_inertia(), reactive_droop())
end
#Define an Inner Control as a Voltage+Current Controler with Virtual Impedance:
inner_control() = CurrentControl(
kpv = 0.59, #Voltage controller proportional gain
kiv = 736.0, #Voltage controller integral gain
kffv = 0.0, #Binary variable enabling the voltage feed-forward in output of current controllers
rv = 0.0, #Virtual resistance in pu
lv = 0.2, #Virtual inductance in pu
kpc = 1.27, #Current controller proportional gain
kic = 14.3, #Current controller integral gain
kffi = 0.0, #Binary variable enabling the current feed-forward in output of current controllers
ωad = 50.0, #Active damping low pass filter cut-off frequency
kad = 0.2, #Active damping gain
)
#Define DC Source as a FixedSource:
dc_source_lv() = FixedDCSource(voltage = 600.0)
#Define a Frequency Estimator as a PLL based on Vikram Kaura and Vladimir Blaskoc 1997 paper:
pll() = KauraPLL(
ω_lp = 500.0, #Cut-off frequency for LowPass filter of PLL filter.
kp_pll = 0.084, #PLL proportional gain
ki_pll = 4.69, #PLL integral gain
)
#Define an LCL filter:
filt() = LCLFilter(lf = 0.08, rf = 0.003, cf = 0.074, lg = 0.2, rg = 0.01)
#Construct the Inverter:
function inv_case78(static_device)
return PSY.DynamicInverter(
static_device,
1.0, # ω_ref,
converter_high_power(), #converter
outer_control(), #outer control
inner_control(), #inner control voltage source
dc_source_lv(), #dc source
pll(), #pll
filt(), #filter
)
end
The last function receives a static device, typically a generator, and defines a dynamic inverter based on the components already defined.
Dynamic Generator definition
Similarly we will construct a dynamic generator as follows:
#Create the machine
machine_oneDoneQ() = OneDOneQMachine(
0.0, #R
1.3125, #Xd
1.2578, #Xq
0.1813, #Xd_p
0.25, #Xq_p
5.89, #Td0_p
0.6, #Tq0_p
)
#Shaft
shaft_no_damping() = SingleMass(
3.01, #H (M = 6.02 -> H = M/2)
0.0,
) #D
#AVR: Type I: Resembles a DC1 AVR
avr_type1() = AVRTypeI(
20.0, #Ka - Gain
0.01, #Ke
0.063, #Kf
0.2, #Ta
0.314, #Te
0.35, #Tf
0.001, #Tr
5.0, #Vrmax
-5.0, #Vrmin
0.0039, #Ae - 1st ceiling coefficient
1.555, #Be - 2nd ceiling coefficient
)
#No TG
tg_none() = TGFixed(1.0) #efficiency
#No PSS
pss_none() = PSSFixed(0.0) #Vs
#Construct the generator
function dyn_gen_second_order(generator)
return PSY.DynamicGenerator(
generator,
1.0, # ω_ref,
machine_oneDoneQ(), #machine
shaft_no_damping(), #shaft
avr_type1(), #avr
tg_none(), #tg
pss_none(), #pss
)
end
Add the components to the system
for g in get_components(Generator, threebus_sys)
#Find the generator at bus 102
if get_number(get_bus(g)) == 102
#Create the dynamic generator
case_gen = dyn_gen_second_order(g)
#Attach the dynamic generator to the system
add_component!(threebus_sys, case_gen)
#Find the generator at bus 103
elseif get_number(get_bus(g)) == 103
#Create the dynamic inverter
case_inv = inv_case78(g)
#Attach the dynamic inverter to the system
add_component!(threebus_sys, case_inv)
end
end
Save the system in a JSON file
to_json(threebus_sys, "threebus_sys.json")