修复了弃风计算不正确的bug。
This commit is contained in:
dmy
166
main.py
166
main.py
@@ -24,7 +24,7 @@ plt.rcParams['axes.unicode_minus'] = False
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def plot_system_curves(solar_output, wind_output, thermal_output, load_demand, result, show_window=False, display_only=False):
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"""
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绘制系统运行曲线
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Args:
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solar_output: 光伏出力曲线 (MW) - 支持24小时或8760小时
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wind_output: 风电出力曲线 (MW) - 支持24小时或8760小时
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@@ -36,13 +36,13 @@ def plot_system_curves(solar_output, wind_output, thermal_output, load_demand, r
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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# 设置中文字体
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plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei', 'DejaVu Sans']
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plt.rcParams['axes.unicode_minus'] = False # 解决负号显示问题
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hours = np.arange(len(solar_output))
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data_length = len(solar_output)
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# 确定图表标题和采样率
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if data_length == 8760:
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title_suffix = " (全年8760小时)"
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@@ -68,34 +68,34 @@ def plot_system_curves(solar_output, wind_output, thermal_output, load_demand, r
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sampled_charge = result['charge_profile']
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sampled_discharge = result['discharge_profile']
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sampled_grid_feed_in = result['grid_feed_in']
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# 创建图形（4个子图）
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fig, (ax1, ax2, ax3, ax4) = plt.subplots(4, 1, figsize=(14, 16))
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fig.suptitle('多能互补系统24小时运行曲线', fontsize=16, fontweight='bold')
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# === 第一个子图：发电和负荷曲线 ===
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ax1.plot(sampled_hours, sampled_load, 'r-', linewidth=2, label='负荷需求')
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ax1.plot(sampled_hours, sampled_thermal, 'b-', linewidth=2, label='火电出力')
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ax1.plot(sampled_hours, sampled_wind, 'g-', linewidth=2, label='风电出力')
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ax1.plot(sampled_hours, sampled_solar, 'orange', linewidth=2, label='光伏出力')
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# 计算总发电量
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total_generation = [sampled_thermal[i] + sampled_wind[i] + sampled_solar[i] for i in range(len(sampled_thermal))]
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ax1.plot(sampled_hours, total_generation, 'k--', linewidth=1.5, alpha=0.7, label='总发电量')
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ax1.set_xlabel('时间 (小时)')
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ax1.set_ylabel('功率 (MW)')
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ax1.set_title(f'发电与负荷曲线{title_suffix}')
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ax1.legend(loc='upper right')
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ax1.grid(True, alpha=0.3)
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ax1.set_xlim(0, max(sampled_hours))
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# === 第二个子图：储能充放电曲线 ===
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discharge_power = [-x for x in sampled_discharge] # 放电显示为负值
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ax2.bar(sampled_hours, sampled_charge, color='green', alpha=0.7, label='充电功率')
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ax2.bar(sampled_hours, discharge_power, color='red', alpha=0.7, label='放电功率')
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ax2.set_xlabel('时间 (小时)')
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ax2.set_ylabel('功率 (MW)')
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ax2.set_title(f'储能充放电功率{title_suffix}')
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@@ -103,29 +103,29 @@ def plot_system_curves(solar_output, wind_output, thermal_output, load_demand, r
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ax2.grid(True, alpha=0.3)
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ax2.set_xlim(0, max(sampled_hours))
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ax2.axhline(y=0, color='black', linestyle='-', linewidth=0.5)
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# === 第三个子图：储能状态曲线 ===
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ax3.plot(sampled_hours, sampled_storage, 'b-', linewidth=1, marker='o', markersize=2)
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ax3.fill_between(sampled_hours, 0, sampled_storage, alpha=0.3, color='blue')
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ax3.set_xlabel('时间 (小时)')
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ax3.set_ylabel('储能容量 (MWh)')
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ax3.set_title(f'储能状态 (总容量: {result["required_storage_capacity"]:.2f} MWh){title_suffix}')
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ax3.grid(True, alpha=0.3)
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ax3.set_xlim(0, max(sampled_hours))
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ax3.set_ylim(bottom=0)
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# === 第四个子图：购电量和上网电量曲线 ===
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# 直接使用原始数据：正值表示上网电量，负值表示购电量
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grid_power = sampled_grid_feed_in
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# 绘制电网交互电量（正值上网，负值购电）
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colors = ['brown' if x >= 0 else 'purple' for x in grid_power]
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ax4.bar(sampled_hours, grid_power, color=colors, alpha=0.7, label='电网交互电量')
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# 添加零线
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ax4.axhline(y=0, color='black', linestyle='-', linewidth=0.5)
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# 添加图例说明
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from matplotlib.patches import Patch
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legend_elements = [
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@@ -133,16 +133,16 @@ def plot_system_curves(solar_output, wind_output, thermal_output, load_demand, r
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Patch(facecolor='purple', alpha=0.7, label='购电量 (-)')
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]
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ax4.legend(handles=legend_elements, loc='upper right')
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ax4.set_xlabel('时间 (小时)')
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ax4.set_ylabel('功率 (MW)')
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ax4.set_title(f'电网交互电量{title_suffix} (正值:上网, 负值:购电)')
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ax4.grid(True, alpha=0.3)
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ax4.set_xlim(0, max(sampled_hours))
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# 调整布局
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plt.tight_layout()
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# 根据参数决定是否保存和显示图形
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if display_only:
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# 只显示，不保存
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@@ -153,7 +153,7 @@ def plot_system_curves(solar_output, wind_output, thermal_output, load_demand, r
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else:
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# 保存图片
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plt.savefig('system_curves.png', dpi=300, bbox_inches='tight')
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# 根据参数决定是否显示图形窗口
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if show_window:
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try:
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@@ -163,7 +163,7 @@ def plot_system_curves(solar_output, wind_output, thermal_output, load_demand, r
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print("图形已保存为 'system_curves.png'")
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else:
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plt.close() # 关闭图形，不显示窗口
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# 打印统计信息
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print("\n=== 系统运行统计 ===")
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print(f"所需储能总容量: {result['required_storage_capacity']:.2f} MWh")
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@@ -174,12 +174,12 @@ def plot_system_curves(solar_output, wind_output, thermal_output, load_demand, r
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print(f"弃风率: {result['total_curtailment_wind_ratio']:.3f}")
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print(f"弃光率: {result['total_curtailment_solar_ratio']:.3f}")
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print(f"上网电量比例: {result['total_grid_feed_in_ratio']:.3f}")
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# 计算购电和上网电量统计
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total_grid_feed_in = sum(result['grid_feed_in'])
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total_grid_purchase = sum(-x for x in result['grid_feed_in'] if x < 0) # 购电量
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total_grid_feed_out = sum(x for x in result['grid_feed_in'] if x > 0) # 上网电量
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print(f"\n=== 电网交互统计 ===")
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if total_grid_feed_in >= 0:
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print(f"净上网电量: {total_grid_feed_in:.2f} MWh")
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@@ -191,8 +191,41 @@ def plot_system_curves(solar_output, wind_output, thermal_output, load_demand, r
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def export_results_to_excel(solar_output, wind_output, thermal_output, load_demand, result, params, filename=None):
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"""
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将优化结果导出到Excel文件
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将多能互补系统储能优化结果导出到Excel文件，包含运行数据、统计结果和系统参数。
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Args:
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solar_output (list): 光伏出力曲线 (MW)
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wind_output (list): 风电出力曲线 (MW)
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thermal_output (list): 火电出力曲线 (MW)
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load_demand (list): 负荷需求曲线 (MW)
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result (dict): 包含以下键的优化结果字典:
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- charge_profile: 储能充电功率曲线 (MW)
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- discharge_profile: 储能放电功率曲线 (MW)
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- storage_profile: 储能状态曲线 (MWh)
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- curtailed_wind: 弃风功率曲线 (MW)
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- curtailed_solar: 弃光功率曲线 (MW)
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- grid_feed_in: 电网交互功率曲线 (MW, 负值表示购电)
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- required_storage_capacity: 所需储能总容量 (MWh)
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- total_curtailment_wind_ratio: 总弃风率
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- total_curtailment_solar_ratio: 总弃光率
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- total_grid_feed_in_ratio: 总上网电量比例
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- energy_balance_check: 能量平衡校验结果
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- capacity_limit_reached: 容量限制是否达到
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params (object): 系统参数对象，包含各种技术参数
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filename (str, optional): 输出文件名，如未提供则自动生成
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Returns:
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str: 生成的Excel文件路径
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生成的Excel文件包含以下工作表:
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- 运行数据: 小时级运行数据
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- 统计结果: 关键性能指标统计
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- 系统参数: 输入参数汇总
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- 说明: 文件使用说明
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"""
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"""
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将优化结果导出到Excel文件
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Args:
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solar_output: 光伏出力曲线 (MW)
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wind_output: 风电出力曲线 (MW)
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@@ -205,16 +238,16 @@ def export_results_to_excel(solar_output, wind_output, thermal_output, load_dema
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if filename is None:
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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filename = f"storage_optimization_results_{timestamp}.xlsx"
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print(f"\n正在导出结果到Excel文件: {filename}")
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# 准备数据
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hours = list(range(1, len(solar_output) + 1))
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# 分离购电和上网电量
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grid_purchase = []
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grid_feed_out = []
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for power in result['grid_feed_in']:
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if power < 0:
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grid_purchase.append(-power) # 购电，转换为正值
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@@ -222,7 +255,7 @@ def export_results_to_excel(solar_output, wind_output, thermal_output, load_dema
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else:
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grid_purchase.append(0)
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grid_feed_out.append(power) # 上网电量
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# 创建主要数据DataFrame
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data_df = pd.DataFrame({
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'小时': hours,
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@@ -239,12 +272,12 @@ def export_results_to_excel(solar_output, wind_output, thermal_output, load_dema
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'购电量(MW)': grid_purchase,
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'上网电量(MW)': grid_feed_out
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})
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# 创建统计信息DataFrame
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total_grid_feed_in = sum(result['grid_feed_in'])
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total_grid_purchase = sum(-x for x in result['grid_feed_in'] if x < 0) # 购电量
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total_grid_feed_out = sum(x for x in result['grid_feed_in'] if x > 0) # 上网电量
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stats_df = pd.DataFrame({
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'指标': [
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'所需储能总容量',
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@@ -277,7 +310,7 @@ def export_results_to_excel(solar_output, wind_output, thermal_output, load_dema
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"是" if result['capacity_limit_reached'] else "否"
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]
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})
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# 创建系统参数DataFrame
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params_df = pd.DataFrame({
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'参数名称': [
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@@ -326,18 +359,18 @@ def export_results_to_excel(solar_output, wind_output, thermal_output, load_dema
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"MWh"
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]
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})
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# 写入Excel文件
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with pd.ExcelWriter(filename, engine='openpyxl') as writer:
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# 写入主要数据
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data_df.to_excel(writer, sheet_name='运行数据', index=False)
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# 写入统计信息
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stats_df.to_excel(writer, sheet_name='统计结果', index=False)
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# 写入系统参数
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params_df.to_excel(writer, sheet_name='系统参数', index=False)
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# 创建说明工作表
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description_df = pd.DataFrame({
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'项目': [
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@@ -356,7 +389,7 @@ def export_results_to_excel(solar_output, wind_output, thermal_output, load_dema
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]
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})
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description_df.to_excel(writer, sheet_name='说明', index=False)
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print(f"结果已成功导出到: {filename}")
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return filename
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@@ -367,70 +400,69 @@ def generate_yearly_data():
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daily_solar = [0.0] * 6 + [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0] + [0.0] * 6
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daily_wind = [2.0, 3.0, 4.0, 3.0, 2.0, 1.0] * 4
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daily_thermal = [5.0] * 24
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daily_load = [3.0, 4.0, 5.0, 6.0, 8.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 18.0,
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daily_load = [3.0, 4.0, 5.0, 6.0, 8.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 18.0,
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16.0, 14.0, 12.0, 10.0, 8.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 2.0]
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# 添加季节性变化
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import random
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random.seed(42)
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yearly_solar = []
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yearly_wind = []
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yearly_thermal = []
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yearly_load = []
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for day in range(365):
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# 季节性因子（夏季光伏更强，冬季负荷更高）
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season_factor = 1.0 + 0.3 * np.sin(2 * np.pi * day / 365)
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for hour in range(24):
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# 添加随机变化
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solar_variation = 1.0 + 0.2 * (random.random() - 0.5)
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wind_variation = 1.0 + 0.3 * (random.random() - 0.5)
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load_variation = 1.0 + 0.1 * (random.random() - 0.5)
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yearly_solar.append(daily_solar[hour] * season_factor * solar_variation)
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yearly_wind.append(daily_wind[hour] * wind_variation)
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yearly_thermal.append(daily_thermal[hour])
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yearly_load.append(daily_load[hour] * (2.0 - season_factor) * load_variation)
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return yearly_solar, yearly_wind, yearly_thermal, yearly_load
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def main():
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"""主函数"""
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import sys
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# 检查命令行参数
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if len(sys.argv) < 2:
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print_usage()
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return
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command = sys.argv[1]
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show_window = '--show' in sys.argv # 检查是否包含--show参数
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display_only = '--display-only' in sys.argv # 检查是否只显示不保存
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if command == '--excel':
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if command == '--excel':
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if len(sys.argv) < 3:
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print("错误：请指定Excel文件路径")
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print("用法：python main.py --excel <文件路径>")
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return
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excel_file = sys.argv[2]
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print(f"从Excel文件读取数据：{excel_file}")
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try:
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data = read_excel_data(excel_file, include_parameters=True)
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solar_output = data['solar_output']
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wind_output = data['wind_output']
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thermal_output = data['thermal_output']
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load_demand = data['load_demand']
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print(f"成功读取{data['data_type']}小时数据")
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print(f"原始数据长度：{data['original_length']}小时")
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print(f"处理后数据长度：{len(solar_output)}小时")
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# 使用Excel中的系统参数
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if 'system_parameters' in data:
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params = data['system_parameters']
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@@ -464,7 +496,7 @@ if command == '--excel':
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available_solar_energy=600.0,
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available_wind_energy=1200.0
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)
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# 显示数据统计
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stats = analyze_excel_data(excel_file)
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if stats:
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@@ -474,14 +506,15 @@ if command == '--excel':
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print(f" 最大光伏出力: {stats['max_solar']:.2f} MW")
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print(f" 最大风电出力: {stats['max_wind']:.2f} MW")
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print(f" 最大负荷: {stats['max_load']:.2f} MW")
|
||||
|
||||
|
||||
except Exception as e:
|
||||
print(f"读取Excel文件失败：{str(e)}")
|
||||
return
|
||||
|
||||
elif command == '--create-template':
|
||||
template_type = sys.argv[2] if len(sys.argv) > 2 else "8760"
|
||||
template_file = f"data_template_{template_type}.xlsx"
|
||||
|
||||
|
||||
print(f"创建{template_type}小时Excel模板：{template_file}")
|
||||
create_excel_template(template_file, template_type)
|
||||
return
|
||||
@@ -491,9 +524,9 @@ if command == '--excel':
|
||||
solar_output = [0.0] * 6 + [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0] + [0.0] * 6
|
||||
wind_output = [2.0, 3.0, 4.0, 3.0, 2.0, 1.0] * 4
|
||||
thermal_output = [5.0] * 24
|
||||
load_demand = [3.0, 4.0, 5.0, 6.0, 8.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 18.0,
|
||||
load_demand = [3.0, 4.0, 5.0, 6.0, 8.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 18.0,
|
||||
16.0, 14.0, 12.0, 10.0, 8.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 2.0]
|
||||
|
||||
|
||||
# 使用默认系统参数
|
||||
params = SystemParameters(
|
||||
max_curtailment_wind=0.1,
|
||||
@@ -509,9 +542,9 @@ if command == '--excel':
|
||||
available_solar_energy=600.0,
|
||||
available_wind_energy=1200.0
|
||||
)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# 显示当前使用的系统参数
|
||||
print("\n=== 当前使用的系统参数 ===")
|
||||
print(f"最大弃风率: {params.max_curtailment_wind}")
|
||||
@@ -528,23 +561,23 @@ if command == '--excel':
|
||||
print(f"光伏可用发电量: {params.available_solar_energy} MWh")
|
||||
print(f"风电可用发电量: {params.available_wind_energy} MWh")
|
||||
print("=" * 40)
|
||||
|
||||
|
||||
# 计算最优储能容量
|
||||
print("正在计算最优储能容量...")
|
||||
result = optimize_storage_capacity(
|
||||
solar_output, wind_output, thermal_output, load_demand, params
|
||||
)
|
||||
|
||||
|
||||
# 绘制曲线
|
||||
print("正在绘制系统运行曲线...")
|
||||
plot_system_curves(solar_output, wind_output, thermal_output, load_demand, result, show_window, display_only)
|
||||
|
||||
|
||||
# 导出结果到Excel
|
||||
try:
|
||||
export_results_to_excel(solar_output, wind_output, thermal_output, load_demand, result, params)
|
||||
except Exception as e:
|
||||
print(f"导出Excel文件失败：{str(e)}")
|
||||
|
||||
|
||||
if display_only:
|
||||
print("\n正在显示图形窗口...")
|
||||
elif show_window:
|
||||
@@ -552,13 +585,12 @@ if command == '--excel':
|
||||
else:
|
||||
print("\n曲线图已保存为 'system_curves.png'")
|
||||
|
||||
|
||||
def print_usage():
|
||||
"""打印使用说明"""
|
||||
print("多能互补系统储能容量优化程序")
|
||||
print("\n使用方法：")
|
||||
print(" python main.py --excel <文件路径> # 从Excel文件读取数据")
|
||||
|
||||
|
||||
print(" python main.py --create-template [类型] # 创建Excel模板(24或8760)")
|
||||
print(" python main.py # 使用24小时示例数据")
|
||||
print(" python main.py --show # 显示图形窗口(可与其他参数组合使用)")
|
||||
|
||||
Reference in New Issue
Block a user