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考虑了储能上限。

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dmy
2025-12-25 21:14:11 +08:00
parent 974ac6d6db
commit bdfabd7eba
2 changed files with 103 additions and 16 deletions
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34
storage_optimization.py
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@@ -22,6 +22,7 @@ class SystemParameters:
storage_efficiency: float = 0.9 # 储能充放电效率 (0.0-1.0)
discharge_rate: float = 1.0 # 储能放电倍率 (C-rate)
charge_rate: float = 1.0 # 储能充电倍率 (C-rate)
max_storage_capacity: Optional[float] = None # 储能容量上限 (MWh)，None表示无限制
def validate_inputs(
@@ -75,6 +76,8 @@ def validate_inputs(
raise ValueError("储能效率必须在0.0-1.0之间")
if params.discharge_rate <= 0 or params.charge_rate <= 0:
raise ValueError("充放电倍率必须大于0")
if params.max_storage_capacity is not None and params.max_storage_capacity <= 0:
raise ValueError("储能容量上限必须大于0")
def calculate_energy_balance(
@@ -293,11 +296,18 @@ def optimize_storage_capacity(
# 初始化搜索范围
lower_bound = 0.0
upper_bound = max(sum(solar_output) + sum(wind_output) + sum(thermal_output), sum(load_demand))
theoretical_max = max(sum(solar_output) + sum(wind_output) + sum(thermal_output), sum(load_demand))
# 应用储能容量上限限制
if params.max_storage_capacity is not None:
upper_bound = min(theoretical_max, params.max_storage_capacity)
else:
upper_bound = theoretical_max
# 二分搜索寻找最小储能容量
best_capacity = upper_bound
best_result = None
solution_found = False # 标记是否找到可行解
for iteration in range(max_iterations):
mid_capacity = (lower_bound + upper_bound) / 2
@@ -326,6 +336,7 @@ def optimize_storage_capacity(
# 满足条件，尝试减小容量
best_capacity = mid_capacity
best_result = {**balance_result, **constraint_results}
solution_found = True
upper_bound = mid_capacity
else:
# 不满足条件，增大容量
@@ -335,8 +346,20 @@ def optimize_storage_capacity(
if upper_bound - lower_bound < tolerance:
break
# 如果没有找到可行解，使用最大容量
if best_result is None:
# 处理储能容量上限限制的情况
if not solution_found and params.max_storage_capacity is not None:
print(f"警告：在储能容量上限 {params.max_storage_capacity:.2f} MWh 内无法找到满足所有约束的解")
print("使用最大允许容量进行计算，但某些约束条件可能无法满足")
# 使用最大允许容量计算结果
balance_result = calculate_energy_balance(
solar_output, wind_output, thermal_output, load_demand, params, params.max_storage_capacity
)
constraint_results = check_constraints(solar_output, wind_output, thermal_output, balance_result, params)
best_result = {**balance_result, **constraint_results}
best_capacity = params.max_storage_capacity
elif best_result is None:
# 如果没有找到可行解（且没有容量上限限制），使用最大容量
balance_result = calculate_energy_balance(
solar_output, wind_output, thermal_output, load_demand, params, upper_bound
)
@@ -380,7 +403,10 @@ def optimize_storage_capacity(
'total_curtailment_wind_ratio': best_result['total_curtailment_wind_ratio'],
'total_curtailment_solar_ratio': best_result['total_curtailment_solar_ratio'],
'total_grid_feed_in_ratio': best_result['total_grid_feed_in_ratio'],
'energy_balance_check': energy_balance_check
'energy_balance_check': energy_balance_check,
'capacity_limit_reached': params.max_storage_capacity is not None and best_capacity >= params.max_storage_capacity,
'theoretical_optimal_capacity': best_capacity if solution_found else None,
'max_storage_limit': params.max_storage_capacity
}