风电机组模糊综合评价代码
时间: 2023-08-27 07:04:57 浏览: 32
以下是一个简单的风电机组模糊综合评价的代码示例,其中使用了模糊数学中的模糊综合评价方法,具体细节可以根据实际情况进行调整和优化:
```python
import numpy as np
# 定义输入变量
wind_speed = 10 # 风速
power_output = 5000 # 发电功率
# 定义模糊集合
wind_speed_set = {"low": [0, 5, 10], "medium": [5, 10, 15], "high": [10, 15, 20]}
power_output_set = {"low": [0, 2500, 5000], "medium": [2500, 5000, 7500], "high": [5000, 7500, 10000]}
evaluation_set = {"poor": [0, 0.2, 0.4], "fair": [0.2, 0.5, 0.8], "good": [0.6, 0.8, 1]}
# 定义模糊规则
rule1 = {"wind_speed": "low", "power_output": "low", "evaluation": "poor"}
rule2 = {"wind_speed": "low", "power_output": "medium", "evaluation": "fair"}
rule3 = {"wind_speed": "low", "power_output": "high", "evaluation": "good"}
rule4 = {"wind_speed": "medium", "power_output": "low", "evaluation": "fair"}
rule5 = {"wind_speed": "medium", "power_output": "medium", "evaluation": "good"}
rule6 = {"wind_speed": "medium", "power_output": "high", "evaluation": "good"}
rule7 = {"wind_speed": "high", "power_output": "low", "evaluation": "good"}
rule8 = {"wind_speed": "high", "power_output": "medium", "evaluation": "good"}
rule9 = {"wind_speed": "high", "power_output": "high", "evaluation": "good"}
# 定义模糊推理函数
def fuzzy_inference(wind_speed, power_output):
evaluation = np.zeros((3,))
for k1, v1 in wind_speed_set.items():
for k2, v2 in power_output_set.items():
if k1 == wind_speed and k2 == power_output:
for k3, v3 in evaluation_set.items():
a = min(v1)
b = max(v2)
c = min(v2)
d = max(v1)
alpha1 = (min(a, b) + min(c, d)) / 2
alpha2 = min(v1[1], v2[1])
alpha3 = (min(b, d) + min(a, c)) / 2
alpha = max(alpha1, alpha2, alpha3)
evaluation[list(evaluation_set.keys()).index(k3)] = alpha
return evaluation
# 模糊推理
evaluation = fuzzy_inference("medium", "high")
# 模糊综合评价
result = np.sum(evaluation * np.array(list(evaluation_set.values())), axis=0) / np.sum(evaluation)
print("风电机组综合评价:", result)
```
这个示例中,我们使用了三个输入变量:风速、发电功率和综合评价,其中风速和发电功率都是模糊变量,综合评价就是输出变量。我们首先定义了三个模糊集合,分别表示风速、发电功率和综合评价的不同等级,然后定义了九个模糊规则,根据风速和发电功率的取值来推断综合评价的等级。最后,我们使用模糊推理函数计算出每个综合评价等级的隶属度,然后使用模糊综合评价方法计算出最终的综合评价值。
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