Create grid_optimizer.py

infrastructure/grid_management/grid_optimizer.py

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+import pulp
+import numpy as np
+
+# Define grid parameters
+GRID_VOLTAGE = 120  # kV
+GRID_FREQ = 60  # Hz
+GRID_CAPACITY = 100  # MW
+
+# Define optimization problem
+prob = pulp.LpProblem("Grid Optimization", pulp.LpMinimize)
+
+# Define variables
+x = pulp.LpVariable("x", lowBound=0, upBound=GRID_CAPACITY, cat=pulp.LpContinuous)
+
+# Define objective function
+prob += x  # Minimize energy loss
+
+# Define constraints
+prob += x <= GRID_CAPACITY  # Do not exceed grid capacity
+prob += x >= 0  # Do not go below 0 MW
+
+# Define IEEE 1547 standard constraints
+prob += x * GRID_VOLTAGE * GRID_FREQ <= 100  # Do not exceed 100 MW
+
+# Solve optimization problem
+prob.solve()
+
+# Print results
+print("Optimal energy distribution:", x.value())