考虑了储能上限。
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dmy
@@ -230,46 +230,104 @@ def plot_results(result, title, solar_output, wind_output, thermal_output, load_
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plt.show()
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def example_4_capacity_limited_scenario():
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"""示例4: 储能容量限制场景"""
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print("\n=== 示例4: 储能容量限制场景 ===")
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# 使用基础场景的数据
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solar_output = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5, 2.0, 4.0, 6.0, 8.0, 9.0,
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8.0, 6.0, 4.0, 2.0, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
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wind_output = [4.0, 4.5, 5.0, 5.5, 5.0, 4.5, 4.0, 3.5, 3.0, 2.5, 2.0, 1.5,
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1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 5.0, 4.5, 4.0]
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thermal_output = [8.0] * 24
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load_demand = [6.0, 5.5, 5.0, 5.0, 5.5, 7.0, 9.0, 12.0, 15.0, 18.0, 20.0, 19.0,
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18.0, 17.0, 16.0, 15.0, 14.0, 13.0, 12.0, 10.0, 8.0, 7.0, 6.0, 6.0]
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# 系统参数 - 设置储能容量上限为10 MWh
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params = SystemParameters(
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max_curtailment_wind=0.1,
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max_curtailment_solar=0.05,
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max_grid_ratio=0.15,
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storage_efficiency=0.9,
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discharge_rate=1.0,
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charge_rate=1.0,
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max_storage_capacity=10.0 # 限制储能容量上限为10 MWh
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)
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result = optimize_storage_capacity(solar_output, wind_output, thermal_output, load_demand, params)
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print(f"所需储能容量: {result['required_storage_capacity']:.2f} MWh")
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print(f"储能容量上限: {result['max_storage_limit']:.2f} MWh")
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print(f"是否达到容量上限: {'是' if result['capacity_limit_reached'] else '否'}")
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print(f"实际弃风率: {result['total_curtailment_wind_ratio']:.3f} (约束: {params.max_curtailment_wind})")
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print(f"实际弃光率: {result['total_curtailment_solar_ratio']:.3f} (约束: {params.max_curtailment_solar})")
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print(f"实际上网电量比例: {result['total_grid_feed_in_ratio']:.3f} (约束: {params.max_grid_ratio})")
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print(f"能量平衡校验: {'通过' if result['energy_balance_check'] else '未通过'}")
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return {
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'result': result,
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'solar_output': solar_output,
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'wind_output': wind_output,
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'thermal_output': thermal_output,
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'load_demand': load_demand
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}
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def compare_scenarios():
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"""比较不同场景的结果"""
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print("\n=== 场景比较 ===")
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# 运行三个场景
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# 运行四个场景
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data1 = example_1_basic_scenario()
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data2 = example_2_high_renewable_scenario()
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data3 = example_3_winter_scenario()
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data4 = example_4_capacity_limited_scenario()
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# 比较结果
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scenarios = ['基础场景', '高可再生能源场景', '冬季场景']
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scenarios = ['基础场景', '高可再生能源场景', '冬季场景', '容量限制场景']
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storage_capacities = [
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data1['result']['required_storage_capacity'],
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data2['result']['required_storage_capacity'],
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data3['result']['required_storage_capacity']
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data3['result']['required_storage_capacity'],
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data4['result']['required_storage_capacity']
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]
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curtailment_wind = [
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data1['result']['total_curtailment_wind_ratio'],
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data2['result']['total_curtailment_wind_ratio'],
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data3['result']['total_curtailment_wind_ratio']
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data3['result']['total_curtailment_wind_ratio'],
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data4['result']['total_curtailment_wind_ratio']
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]
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curtailment_solar = [
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data1['result']['total_curtailment_solar_ratio'],
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data2['result']['total_curtailment_solar_ratio'],
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data3['result']['total_curtailment_solar_ratio']
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data3['result']['total_curtailment_solar_ratio'],
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data4['result']['total_curtailment_solar_ratio']
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]
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grid_feed_in = [
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data1['result']['total_grid_feed_in_ratio'],
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data2['result']['total_grid_feed_in_ratio'],
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data3['result']['total_grid_feed_in_ratio']
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data3['result']['total_grid_feed_in_ratio'],
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data4['result']['total_grid_feed_in_ratio']
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]
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capacity_limit = [
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'无',
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'无',
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'无',
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f"{data4['result']['max_storage_limit']:.1f}MWh"
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]
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print("\n场景比较结果:")
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print(f"{'场景':<15} {'储能容量(MWh)':<12} {'弃风率':<8} {'弃光率':<8} {'上网比例':<8}")
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print("-" * 55)
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print(f"{'场景':<15} {'储能容量(MWh)':<12} {'容量限制':<10} {'弃风率':<8} {'弃光率':<8} {'上网比例':<8}")
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print("-" * 75)
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for i, scenario in enumerate(scenarios):
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print(f"{scenario:<15} {storage_capacities[i]:<12.2f} {curtailment_wind[i]:<8.3f} "
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f"{curtailment_solar[i]:<8.3f} {grid_feed_in[i]:<8.3f}")
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limit_reached = "✓" if data4['result']['capacity_limit_reached'] and i == 3 else ""
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print(f"{scenario:<15} {storage_capacities[i]:<12.2f} {capacity_limit[i]:<10} {curtailment_wind[i]:<8.3f} "
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f"{curtailment_solar[i]:<8.3f} {grid_feed_in[i]:<8.3f} {limit_reached}")
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return data1, data2, data3
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return data1, data2, data3, data4
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if __name__ == "__main__":
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@@ -277,7 +335,7 @@ if __name__ == "__main__":
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print("=" * 50)
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# 运行示例
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data1, data2, data3 = compare_scenarios()
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data1, data2, data3, data4 = compare_scenarios()
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# 绘制图表（如果matplotlib可用）
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try:
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@@ -290,6 +348,9 @@ if __name__ == "__main__":
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plot_results(data3['result'], "冬季场景储能运行情况",
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data3['solar_output'], data3['wind_output'],
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data3['thermal_output'], data3['load_demand'])
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plot_results(data4['result'], "容量限制场景储能运行情况",
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data4['solar_output'], data4['wind_output'],
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data4['thermal_output'], data4['load_demand'])
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except ImportError:
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print("\n注意: matplotlib未安装，无法绘制图表")
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print("要安装matplotlib，请运行: pip install matplotlib")
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