Updates here and there

README.md

@@ -71,7 +71,6 @@ The simulations are grounded in established models of inverter-based systems and
 All four simulation models share a common SIIB system architecture, consisting of the following: 
 
 - A three-phase upstream grid source:
-
   - Nominal voltage: 3.3 kV LL RM
   - Nominal frequency: 60 Hz
   - Grounded Neutrak
@@ -84,6 +83,7 @@ All four simulation models share a common SIIB system architecture, consisting o
 - Inverter parameters (EMT):
   - V_DC = 1.5 kV, C_DC = 3900 µF
   - Switching frequency: 8000 Hz.
+  - The active power reference P_ref is varied across scenarios to sample a wide range of operating points. it is drawn from a uniform distribution over the interval [0.5, 1.7] pu.
 - Inverter LCL filter:
   - L_1f = 60 µH, C_f = 1 mF, L_2f = 35 µH, 
   - Series damping resistor, R_f = 0.01 Ω
@@ -99,11 +99,10 @@ The control gains, filter components, and droop coefficients listed above are re
 
 ## 3.2- Scenario Sampling:
 
-Scenario diversity is achieved through stochastic parameterization of three disturbance categories, all generated in Python and injected into the simulation models via their respective APIs.
+Scenario diversity is achieved through stochastic parameterization of two disturbance categories, all generated in Python and injected into the simulation models via their respective APIs.
 
-- Load disturbances: A random load of stochastically sampled magnitude is connected to the network at a randomly sampled time and disconnected at a later randomly sampled time. The three-phase random load can be unbalanced across phases in the EMT models.
-- Fault disturbances: Short-circuit events are introduced at randomly sampled occurrence times with randomly sampled durations. The fault type (e.g., single-phase-to-ground, three-phase) is also stochastically selected and applied via API. Fault ride-through (FRT) behavior is implemented: upon fault detection, the active power reference is set to zero and the inverter prioritizes reactive current injection for voltage support.
-- Active power reference variations: The active power reference P_ref is varied across scenarios to sample a wide range of loading conditions and operating points.
+- Load disturbances: A random load of stochastically sampled magnitude is connected to the network at a randomly sampled time and disconnected at a later randomly sampled time. The three-phase random load can be unbalanced across phases in the EMT models. The load parameters are independently drawn from uniform distributions over predefined ranges: R_L ∈ [0.2,2] Ω, L_L ∈ [0.001,0.05] H, and C_L ∈ [1×10^(-6),50×10^(-6)] F. To account for phase imbalance, per-phase parameters are independently resampled from uniform distributions within ±15% of their respective average values, yielding a maximum inter-phase imbalance of 30%. The load connection time is uniformly sampled over the interval [0.5, 5] s.
+- Fault disturbances: Short-circuit events are introduced at randomly sampled occurrence times with randomly sampled durations. The fault type is randomly selected among all the possible 10 three-phase fault types. A A fault ride-through (FRT) behavior is implemented; upon fault detection, the active power reference is set to zero and the inverter prioritizes reactive current injection for voltage support. The fault occurrence time is uniformly sampled over the interval [0.5, 5] s, and the fault duration is uniformly sampled within [0.02, 0.2] s.
 
 Measurements are taken at the LCL filter output using the default multimeters embedded in the simulation platforms (PSCAD and MATLAB/Simulink). Signals recorded include three-phase voltages and currents transformed to the dq reference frame, active power, and reactive power. Moreover, the data collection process introduces several intrinsic biases: