184 lines
7.6 KiB
Python
184 lines
7.6 KiB
Python
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"""
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测试Excel参数设置功能
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该程序演示如何修改Excel参数工作表中的参数，并验证参数是否被正确读取。
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作者: iFlow CLI
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创建日期: 2025-12-25
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"""
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import sys
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import os
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sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'src'))
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import pandas as pd
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from excel_reader import read_excel_data, validate_system_parameters
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from storage_optimization import optimize_storage_capacity
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def test_parameter_modification():
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"""测试参数修改功能"""
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print("=== 测试Excel参数设置功能 ===\n")
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# 1. 读取原始参数
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print("1. 读取原始Excel参数...")
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original_data = read_excel_data('data_template_24.xlsx', include_parameters=True)
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original_params = original_data['system_parameters']
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print("原始参数:")
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print(f" 最大弃风率: {original_params.max_curtailment_wind}")
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print(f" 最大弃光率: {original_params.max_curtailment_solar}")
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print(f" 最大上网电量比例: {original_params.max_grid_ratio}")
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print(f" 储能效率: {original_params.storage_efficiency}")
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print(f" 放电倍率: {original_params.discharge_rate}")
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print(f" 充电倍率: {original_params.charge_rate}")
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print(f" 最大储能容量: {original_params.max_storage_capacity}")
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# 2. 使用原始参数进行优化
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print("\n2. 使用原始参数进行储能容量优化...")
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original_result = optimize_storage_capacity(
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original_data['solar_output'],
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original_data['wind_output'],
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original_data['thermal_output'],
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original_data['load_demand'],
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original_params
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)
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print(f"原始参数优化结果:")
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print(f" 所需储能容量: {original_result['required_storage_capacity']:.2f} MWh")
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print(f" 弃风率: {original_result['total_curtailment_wind_ratio']:.3f}")
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print(f" 弃光率: {original_result['total_curtailment_solar_ratio']:.3f}")
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print(f" 上网电量比例: {original_result['total_grid_feed_in_ratio']:.3f}")
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# 3. 修改Excel参数
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print("\n3. 修改Excel参数...")
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# 创建测试用的参数DataFrame
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new_params_df = pd.DataFrame({
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'参数名称': [
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'最大弃风率',
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'最大弃光率',
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'最大上网电量比例',
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'储能效率',
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'放电倍率',
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'充电倍率',
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'最大储能容量'
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],
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'参数值': [
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0.15, # 增加弃风率
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0.12, # 增加弃光率
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0.25, # 增加上网电量比例
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0.85, # 降低储能效率
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1.2, # 增加放电倍率
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1.2, # 增加充电倍率
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1000.0 # 设置储能容量上限
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],
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'参数说明': [
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'允许的最大弃风率（0.0-1.0）',
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'允许的最大弃光率（0.0-1.0）',
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'允许的最大上网电量比例（0.0-∞，只限制上网电量）',
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'储能充放电效率（0.0-1.0）',
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'储能放电倍率（C-rate，>0）',
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'储能充电倍率（C-rate，>0）',
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'储能容量上限（MWh，空表示无限制）'
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],
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'取值范围': [
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'0.0-1.0',
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'0.0-1.0',
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'≥0.0',
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'0.0-1.0',
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'>0',
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'>0',
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'>0或空'
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],
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'默认值': [
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'0.1',
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'0.1',
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'0.2',
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'0.9',
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'1.0',
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'1.0',
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'无限制'
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]
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})
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# 读取原始Excel文件
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with pd.ExcelFile('data_template_24.xlsx') as xls:
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data_df = pd.read_excel(xls, sheet_name='数据')
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description_df = pd.read_excel(xls, sheet_name='说明')
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# 保存修改后的Excel文件
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with pd.ExcelWriter('data_template_24_modified.xlsx', engine='openpyxl') as writer:
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data_df.to_excel(writer, sheet_name='数据', index=False)
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new_params_df.to_excel(writer, sheet_name='参数', index=False)
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description_df.to_excel(writer, sheet_name='说明', index=False)
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print("已创建修改后的Excel文件: data_template_24_modified.xlsx")
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print("修改后的参数:")
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print(f" 最大弃风率: 0.15 (原: {original_params.max_curtailment_wind})")
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print(f" 最大弃光率: 0.12 (原: {original_params.max_curtailment_solar})")
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print(f" 最大上网电量比例: 0.25 (原: {original_params.max_grid_ratio})")
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print(f" 储能效率: 0.85 (原: {original_params.storage_efficiency})")
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print(f" 放电倍率: 1.2 (原: {original_params.discharge_rate})")
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print(f" 充电倍率: 1.2 (原: {original_params.charge_rate})")
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print(f" 最大储能容量: 1000.0 (原: {original_params.max_storage_capacity})")
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# 4. 读取修改后的参数
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print("\n4. 读取修改后的参数...")
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modified_data = read_excel_data('data_template_24_modified.xlsx', include_parameters=True)
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modified_params = modified_data['system_parameters']
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print("修改后的参数读取结果:")
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print(f" 最大弃风率: {modified_params.max_curtailment_wind}")
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print(f" 最大弃光率: {modified_params.max_curtailment_solar}")
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print(f" 最大上网电量比例: {modified_params.max_grid_ratio}")
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print(f" 储能效率: {modified_params.storage_efficiency}")
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print(f" 放电倍率: {modified_params.discharge_rate}")
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print(f" 充电倍率: {modified_params.charge_rate}")
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print(f" 最大储能容量: {modified_params.max_storage_capacity}")
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# 5. 验证修改后的参数
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validation = validate_system_parameters(modified_params)
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if validation['valid']:
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print("[OK] 修改后的参数验证通过")
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else:
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print("[ERROR] 修改后的参数验证失败:")
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for error in validation['errors']:
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print(f" - {error}")
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if validation['warnings']:
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print("[WARNING] 修改后的参数警告:")
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for warning in validation['warnings']:
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print(f" - {warning}")
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# 6. 使用修改后的参数进行优化
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print("\n5. 使用修改后的参数进行储能容量优化...")
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modified_result = optimize_storage_capacity(
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modified_data['solar_output'],
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modified_data['wind_output'],
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modified_data['thermal_output'],
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modified_data['load_demand'],
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modified_params
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)
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print(f"修改后参数优化结果:")
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print(f" 所需储能容量: {modified_result['required_storage_capacity']:.2f} MWh")
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print(f" 弃风率: {modified_result['total_curtailment_wind_ratio']:.3f}")
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print(f" 弃光率: {modified_result['total_curtailment_solar_ratio']:.3f}")
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print(f" 上网电量比例: {modified_result['total_grid_feed_in_ratio']:.3f}")
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print(f" 容量限制是否达到: {modified_result['capacity_limit_reached']}")
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# 7. 对比结果
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print("\n6. 结果对比:")
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print(f"储能容量变化: {original_result['required_storage_capacity']:.2f} -> {modified_result['required_storage_capacity']:.2f} MWh")
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print(f"弃风率变化: {original_result['total_curtailment_wind_ratio']:.3f} -> {modified_result['total_curtailment_wind_ratio']:.3f}")
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print(f"弃光率变化: {original_result['total_curtailment_solar_ratio']:.3f} -> {modified_result['total_curtailment_solar_ratio']:.3f}")
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print(f"上网电量比例变化: {original_result['total_grid_feed_in_ratio']:.3f} -> {modified_result['total_grid_feed_in_ratio']:.3f}")
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print("\n=== 测试完成 ===")
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print("Excel参数设置功能测试成功！")
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print("用户可以通过修改Excel文件中的'参数'工作表来调整系统参数。")
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if __name__ == "__main__":
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test_parameter_modification()
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