app.py

import streamlit as st
import numpy as np
from sklearn.linear_model import LinearRegression
import pandas as pd

# Title of the app
st.title("132/11 kV Transformer Tap Changer Optimization App")

# Nominal secondary voltage (11.5 kV)
nominal_secondary_voltage = 11.5

# Input fields for voltage and load
voltage_in = st.number_input("Enter the Input Voltage (132 kV)", min_value=100, max_value=150, value=132)
voltage_out = st.number_input("Enter the Output Voltage (11 kV)", min_value=10.0, max_value=15.0, value=11.0)
load = st.number_input("Enter the Current Load (MW)", min_value=50, max_value=500, value=250)

# Convert secondary voltage to primary voltage using transformer ratio (132 kV / 11 kV)
# This is the nominal transformer voltage ratio
transformer_ratio = 132 / 11

# Calculate the optimal tap position based on output voltage
def calculate_optimal_tap(voltage_in, voltage_out, load):
    # Desired output voltage should be 11.5 kV (nominal secondary voltage)
    target_voltage_out = nominal_secondary_voltage
    
    # Calculate the required primary voltage to achieve desired secondary voltage (11.5 kV)
    required_primary_voltage = target_voltage_out * transformer_ratio

    # Calculate the voltage deviation from nominal (in primary)
    voltage_deviation = voltage_in - required_primary_voltage

    # Optimizing tap changer setting based on voltage deviation
    # Assuming tap positions range from -13 (decreasing voltage) to +13 (increasing voltage)
    # Tap range can be calculated based on the voltage deviation and transformer ratio
    tap_position = round(voltage_deviation / (voltage_in / 27))  # 27 is the number of taps

    # Ensure that the tap position is within the range of the 27-tap MR tap changer
    if tap_position > 13:
        tap_position = 13
    elif tap_position < -13:
        tap_position = -13

    # Return the tap position recommendation
    return tap_position

# Button to get the recommended tap position
if st.button('Get Tap Position'):
    # Calculate the optimal tap position
    optimal_tap = calculate_optimal_tap(voltage_in, voltage_out, load)
    
    # Show the recommended tap position
    st.write(f"**Recommended Tap Position**: Tap {optimal_tap} (Adjust to maintain 11.5 kV output)")

# Display additional results
st.write(f"**Nominal Secondary Voltage**: {nominal_secondary_voltage} kV")
st.write(f"**Input Voltage**: {voltage_in} kV")
st.write(f"**Output Voltage**: {voltage_out} kV")
st.write(f"**Current Load**: {load} MW")