Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Bugfix: Unexpected behavior in SerialRefine caused by quiet NaNs #605

Merged
merged 6 commits into from
Mar 17, 2023
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
15 changes: 13 additions & 2 deletions floris/tools/optimization/yaw_optimization/yaw_optimizer_sr.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,11 +19,13 @@
import numpy as np
import pandas as pd

from floris.logging_manager import LoggerBase

# from .yaw_optimizer_scipy import YawOptimizationScipy
from .yaw_optimization_base import YawOptimization


class YawOptimizationSR(YawOptimization):
class YawOptimizationSR(YawOptimization, LoggerBase):
def __init__(
self,
fi,
Expand Down Expand Up @@ -240,8 +242,17 @@ def optimize(self, print_progress=True):
# Evaluate grid of yaw angles, get farm powers and find optimal solutions
farm_powers = self._process_evaluation_grid()

# If farm powers contains any nans, then issue a warning
if np.any(np.isnan(farm_powers)):
err_msg = (
"NaNs found in farm powers during SerialRefine "
"optimization routine. Proceeding to maximize over yaw "
"settings that produce valid powers."
)
self.logger.warning(err_msg, stack_info=True)

# Find optimal solutions in new evaluation grid
args_opt = np.expand_dims(np.argmax(farm_powers, axis=0), axis=0)
args_opt = np.expand_dims(np.nanargmax(farm_powers, axis=0), axis=0)
farm_powers_opt_new = np.squeeze(
np.take_along_axis(farm_powers, args_opt, axis=0),
axis=0,
Expand Down