157 lines
7.0 KiB
Python
157 lines
7.0 KiB
Python
import os
|
|
import pickle
|
|
import matplotlib
|
|
import matplotlib.pyplot as plt
|
|
import numpy as np
|
|
import pandas as pd
|
|
import seaborn as sns
|
|
|
|
matplotlib.rc('text', usetex=True)
|
|
pd.options.display.notebook_repr_html = False
|
|
|
|
|
|
def plot_optimization_result(datasource, directory): # data source is dataframe
|
|
sns.set_theme(style='whitegrid') # "white", "dark", "whitegrid", "darkgrid", "ticks"
|
|
plt.rcParams["figure.figsize"] = (16, 9)
|
|
fig, axs = plt.subplots(2, 2)
|
|
plt.subplots_adjust(wspace=0.7, hspace=0.3)
|
|
plt.autoscale(tight=True)
|
|
T = np.array([i for i in range(24)])
|
|
|
|
# 绘制步长成本 in ax[0]
|
|
axs[0, 0].cla()
|
|
axs[0, 0].set_ylabel('Cost')
|
|
axs[0, 0].set_xlabel('Time (h)')
|
|
axs[0, 0].bar(T, datasource['step_cost'])
|
|
|
|
# 绘制soc和价格 in ax[1]
|
|
axs[0, 1].cla()
|
|
# 设置第一个 y 轴
|
|
axs[0, 1].set_ylabel('Price')
|
|
axs[0, 1].set_xlabel('Time (h)')
|
|
line1, = axs[0, 1].plot(T, datasource['price'], drawstyle='steps-mid', label='Price', color='pink')
|
|
# 创建第二个 y 轴
|
|
ax2 = axs[0, 1].twinx()
|
|
ax2.set_ylabel('SOC')
|
|
line2, = ax2.plot(T, datasource['soc'], drawstyle='steps-mid', label='SOC', color='grey')
|
|
# 为每个轴分别创建图例
|
|
lines = [line1, line2]
|
|
labels = [line.get_label() for line in lines]
|
|
axs[0, 1].legend(lines, labels, loc='upper right', bbox_to_anchor=(1.4, 1),
|
|
fontsize=12, frameon=False, labelspacing=0.3)
|
|
|
|
# 绘制累计发电量和消耗量 in ax[2]
|
|
axs[1, 0].cla()
|
|
axs[1, 0].set_ylabel('Power (kWh)')
|
|
axs[1, 0].set_xlabel('Time (h)')
|
|
# 处理电池充放电数据
|
|
battery_positive = np.array(datasource['battery_energy_change'])
|
|
battery_negative = np.array(datasource['battery_energy_change'])
|
|
battery_positive = np.maximum(battery_positive, 0) # charge
|
|
battery_negative = np.minimum(battery_negative, 0) # discharge
|
|
# 处理电网进出口数据
|
|
imported_from_grid = np.array(datasource['grid_import'])
|
|
exported_2_grid = np.array(datasource['grid_export'])
|
|
axs[1, 0].bar(T, datasource['gen1'], label='Gen1')
|
|
axs[1, 0].bar(T, datasource['gen2'], label='Gen2', bottom=datasource['gen1'])
|
|
axs[1, 0].bar(T, datasource['gen3'], label='Gen3', bottom=datasource['gen2'] + datasource['gen1'])
|
|
axs[1, 0].bar(T, -battery_positive, color='blue', hatch='/', label='ESS charge')
|
|
axs[1, 0].bar(T, -battery_negative, hatch='/', label='ESS discharge',
|
|
bottom=datasource['gen3'] + datasource['gen2'] + datasource['gen1'])
|
|
# 生成即进口
|
|
axs[1, 0].bar(T, imported_from_grid, label='Grid import',
|
|
bottom=-battery_negative + datasource['gen3'] + datasource['gen2'] + datasource['gen1'])
|
|
# 负载即出口
|
|
axs[1, 0].bar(T, -exported_2_grid, label='Grid export', bottom=-battery_positive)
|
|
# 绘制净负载曲线
|
|
axs[1, 0].plot(T, datasource['netload'], label='Houseload', drawstyle='steps-mid', alpha=0.7)
|
|
axs[1, 0].legend(loc='upper right', bbox_to_anchor=(1.4, 1), fontsize=12, frameon=False, labelspacing=0.3)
|
|
|
|
fig.savefig(f"{directory}/gurobi.svg", format='svg', dpi=600, bbox_inches='tight')
|
|
print('gurobi figure have been ploted and saved')
|
|
|
|
|
|
def plot_evaluation_information(datasource, directory):
|
|
sns.set_theme(style='whitegrid')
|
|
with open(datasource, 'rb') as tf:
|
|
test_data = pickle.load(tf)
|
|
# 用条形图表示每一步的不平衡和奖励
|
|
plt.rcParams["figure.figsize"] = (16, 9)
|
|
fig, axs = plt.subplots(2, 2)
|
|
plt.subplots_adjust(wspace=0.7, hspace=0.3)
|
|
plt.autoscale(tight=True)
|
|
|
|
# 为评估环境准备数据
|
|
eval_data = pd.DataFrame(test_data['system_info'])
|
|
eval_data.columns = ['time_step', 'price', 'netload', 'action', 'real_action', 'soc', 'battery', 'gen1', 'gen2',
|
|
'gen3', 'temperature', 'irradiance', 'unbalance', 'operation_cost']
|
|
|
|
# 绘制奖励 in axs[0]
|
|
axs[0, 0].cla()
|
|
axs[0, 0].set_xlabel('Time (h)')
|
|
axs[0, 0].set_ylabel('Cost')
|
|
axs[0, 0].bar(eval_data['time_step'], eval_data['operation_cost'])
|
|
|
|
# 绘制能源充/放电与价格关系图 in ax[1]
|
|
axs[0, 1].cla()
|
|
axs[0, 1].set_xlabel('Time (h)')
|
|
axs[0, 1].set_ylabel('Price')
|
|
line1, = axs[0, 1].plot(eval_data['time_step'], eval_data['price'], drawstyle='steps-mid', label='Price',
|
|
color='pink')
|
|
ax2 = axs[0, 1].twinx()
|
|
ax2.set_ylabel('SOC')
|
|
line2, = ax2.plot(eval_data['time_step'], eval_data['soc'], drawstyle='steps-mid', label='SOC', color='grey')
|
|
lines = [line1, line2]
|
|
labels = [line.get_label() for line in lines]
|
|
axs[0, 1].legend(lines, labels, loc='upper right', bbox_to_anchor=(1.4, 1),
|
|
fontsize=12, frameon=False, labelspacing=0.3)
|
|
|
|
# 绘制发电量和负载量 in ax[2]
|
|
axs[1, 0].cla()
|
|
axs[1, 0].set_xlabel('Time (h)')
|
|
axs[1, 0].set_ylabel('Power (kWh)')
|
|
# axs[1,0].set_xticks([i for i in range(24)], [i for i in range(1, 25)])
|
|
battery_positive = np.array(eval_data['battery'])
|
|
battery_negative = np.array(eval_data['battery'])
|
|
battery_positive = np.maximum(battery_positive, 0) # charge
|
|
battery_negative = np.minimum(battery_negative, 0) # discharge
|
|
|
|
imported_from_grid = np.minimum(np.array(eval_data['unbalance']), 0)
|
|
exported_2_grid = np.maximum(np.array(eval_data['unbalance']), 0)
|
|
x = eval_data['time_step']
|
|
axs[1, 0].bar(x, eval_data['gen1'], label='Gen1')
|
|
axs[1, 0].bar(x, eval_data['gen2'], label='Gen2', bottom=eval_data['gen1'])
|
|
axs[1, 0].bar(x, eval_data['gen3'], label='Gen3', bottom=eval_data['gen1'] + eval_data['gen2'])
|
|
axs[1, 0].bar(x, -battery_positive, color='blue', hatch='/', label='ESS charge')
|
|
axs[1, 0].bar(x, -battery_negative, label='ESS discharge', hatch='/',
|
|
bottom=eval_data['gen1'] + eval_data['gen2'] + eval_data['gen3'])
|
|
axs[1, 0].bar(x, -imported_from_grid, label='Grid import',
|
|
bottom=eval_data['gen1'] + eval_data['gen2'] + eval_data['gen3'] - battery_negative)
|
|
axs[1, 0].bar(x, -exported_2_grid, label='Grid export', bottom=-battery_positive)
|
|
|
|
axs[1, 0].plot(x, eval_data['netload'], drawstyle='steps-mid', label='Netload')
|
|
axs[1, 0].legend(loc='upper right', bbox_to_anchor=(1.4, 1), fontsize=12, frameon=False, labelspacing=0.3)
|
|
|
|
# 绘制不平衡度 in axs[0]
|
|
axs[1, 1].cla()
|
|
axs[1, 1].set_xlabel('Time (h)')
|
|
axs[1, 1].set_ylabel('Power (kWh)')
|
|
axs[1, 1].bar(eval_data['time_step'], eval_data['unbalance'], label='Exchange with Grid', width=0.4)
|
|
axs[1, 1].bar(eval_data['time_step'] + 0.4, eval_data['netload'], label='Houseload', width=0.4)
|
|
axs[1, 1].legend(loc='upper right', bbox_to_anchor=(1.45, 1), fontsize=12, frameon=False, labelspacing=0.5)
|
|
fig.savefig(f"{directory}/rl.svg", format='svg', dpi=600, bbox_inches='tight')
|
|
print('rl figure have been ploted and saved')
|
|
|
|
|
|
def make_dir(directory, feature_change):
|
|
cwd = f'{directory}/DRL_{feature_change}_plots'
|
|
os.makedirs(cwd, exist_ok=True)
|
|
return cwd
|
|
|
|
|
|
class PlotArgs:
|
|
def __init__(self) -> None:
|
|
self.cwd = None
|
|
self.feature_change = None
|
|
self.plot_on = None
|