61fa870778
- 新增工程运行期限、折现率、年损耗小时数参数配置 - 实现总费用计算功能（包含电缆投资NPV和电费损耗NPV） - 修复total_investment函数调用时机问题，确保GUI模式正确计算 - 优化电缆单价显示为万元/km单位 - 总长度显示单位改为公里 - 方案对比结果新增总费用列，支持全生命周期成本比选 - 代码格式化和导入顺序优化 - 添加IFLOW.md项目上下文文档
72 lines
2.8 KiB
Python
72 lines
2.8 KiB
Python
import pandas as pd
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import numpy as np
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def create_template(output_file='windfarm_template.xlsx'):
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# Create sample data similar to the internal generator
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data = []
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# Add Substation
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data.append({
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'Type': 'Substation',
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'ID': 'Sub1',
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'X': 4000,
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'Y': -800,
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'Power': 0,
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'PlatformHeight': 0
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})
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# Add Turbines (Grid layout)
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n_turbines = 30
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spacing = 800
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n_cols = 6
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for i in range(n_turbines):
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row = i // n_cols
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col = i % n_cols
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x = col * spacing
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y = row * spacing
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data.append({
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'Type': 'Turbine',
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'ID': i,
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'X': x,
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'Y': y,
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'Power': np.random.uniform(6.0, 10.0),
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'PlatformHeight': 0
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})
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df = pd.DataFrame(data)
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# Create Cable data
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cable_data = [
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{'CrossSection': 35, 'Capacity': 150, 'Resistance': 0.524, 'Cost': 8, 'Optional': ''},
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{'CrossSection': 70, 'Capacity': 215, 'Resistance': 0.268, 'Cost': 12, 'Optional': ''},
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{'CrossSection': 95, 'Capacity': 260, 'Resistance': 0.193, 'Cost': 15, 'Optional': ''},
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{'CrossSection': 120, 'Capacity': 295, 'Resistance': 0.153, 'Cost': 18, 'Optional': ''},
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{'CrossSection': 150, 'Capacity': 330, 'Resistance': 0.124, 'Cost': 22, 'Optional': ''},
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{'CrossSection': 185, 'Capacity': 370, 'Resistance': 0.0991, 'Cost': 27, 'Optional': ''},
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{'CrossSection': 240, 'Capacity': 425, 'Resistance': 0.0754, 'Cost': 35, 'Optional': ''},
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{'CrossSection': 300, 'Capacity': 500, 'Resistance': 0.0601, 'Cost': 45, 'Optional': ''},
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{'CrossSection': 400, 'Capacity': 580, 'Resistance': 0.0470, 'Cost': 60, 'Optional': ''}
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]
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df_cables = pd.DataFrame(cable_data)
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# Create System Parameters data
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param_data = [
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{'Parameter': 'Voltage (kV) / 电压 (kV)', 'Value': 66},
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{'Parameter': 'Power Factor / 功率因数', 'Value': 0.95},
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{'Parameter': 'Electricity Price (元/kWh) / 电价 (元/kWh)', 'Value': 0.4},
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{'Parameter': 'Project Lifetime (years) / 工程运行期限/年', 'Value': 25},
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{'Parameter': 'Discount Rate (%) / 折现率%', 'Value': 8},
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{'Parameter': 'Annual Loss Hours (hours) / 年损耗小时数/小时', 'Value': 1400}
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]
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df_params = pd.DataFrame(param_data)
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# Save to Excel
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with pd.ExcelWriter(output_file) as writer:
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df.to_excel(writer, sheet_name='Coordinates', index=False)
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df_cables.to_excel(writer, sheet_name='Cables', index=False)
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df_params.to_excel(writer, sheet_name='Parameters', index=False)
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print(f"Created sample file: {output_file} with sheets 'Coordinates', 'Cables', and 'Parameters'")
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if __name__ == "__main__":
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create_template() |