EEBD_AI
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pv_forecasting
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bug fix

This commit is contained in:
赵敬皓 2023-09-07 10:16:10 +08:00
parent 43e9db62d8
commit bdd2c5124b
3 changed files with 55 additions and 18 deletions
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8
README.md
View File

@ -28,16 +28,16 @@ POST
{
"province": "山东省",
"city": "青岛市",
"capacity": 200MW, # 装机容量
"capacity": 200, # 装机容量，单位为kW
"angle": 38, # 用户设置倾角
"dhi": [100.0, 123.1,..., 210.2] # 未来120小时的辐照
"dhi": [100.0, 123.1,..., 210.2] # 未来120小时的辐照，单位 W/m**-2
}
```
### 输出
```
{
"code": 200,
"data": [7.5, 8.6, ..., 7.2] # 未来120h的每小时发电量
"data": [7.5, 8.6, ..., 7.2] # 未来120h的每小时出力，单位为kW
}
```
## 未来光伏出力数据(复杂版)
@ -50,7 +50,7 @@ POST
{
"province": "山东省",
"city": "青岛市",
"capacity": 200MW, # 装机容量(kW)
"capacity": 200, # 装机容量(kW)
"angle": 38, # 用户设置倾角
"dhi": [100.0, 123.1,..., 210.2], # 未来120小时的辐照(数仓取数)
"tmp": [27, 29, ..., 32], 未来120h气温(数仓取数)

38
run.py
View File

@ -8,12 +8,11 @@ from logzero import logger
current_path = os.path.dirname(os.path.abspath(__file__)) # for local
# current_path = "/app" # for docker
logger.info(f"{current_path}")
from tools import cal_generation, cal_angle, load_config
from tools import cal_generation, cal_angle, load_config, cal_complex_gen
app = Flask(__name__)
angle_config = load_config(f"{current_path}/config/angle.json")
@app.route('/angle/', methods=["POST"])
def get_angle_info():
resp_info = dict()
@ -22,7 +21,7 @@ def get_angle_info():
city = request.json.get('city')
logger.info(f"{prov}-{city}")
try:
best_angle = cal_angle(prov, city)
best_angle = cal_angle(prov, city, angle_config)
resp_info["code"] = 200
resp_info["data"] = best_angle
except Exception as e:
@ -34,6 +33,30 @@ def get_angle_info():
@app.route('/power/', methods=["POST"])
def get_power():
resp_info = dict()
if request.method == "POST":
prov = request.json.get('province')
city = request.json.get('city')
cap = float(request.json.get('capacity'))
angle = float(request.json.get('angle'))
dhi_list = request.json.get('dhi')
dhi_list = [float(x) for x in dhi_list]
logger.info(dhi_list)
try:
best_angle = cal_angle(prov, city, angle_config)[0]
power_trend = cal_generation(cap, angle, best_angle, dhi_list)
resp_info["code"] = 200
resp_info["data"] = power_trend
except Exception as e:
logger.info(e)
resp_info["code"] = 406
resp_info["data"] = str(e)
resp = make_response(json.dumps(resp_info))
resp.status_code = 200
return resp
@app.route('/power_custom/', methods=["POST"])
def get_power_custom():
resp_info = dict()
if request.method == "POST":
prov = request.json.get('province')
@ -41,9 +64,14 @@ def get_power():
cap = request.json.get('capacity')
angle = request.json.get('angle')
dhi_list = request.json.get('dhi')
tmp_list = request.json.get("tmp")
materials = request.json.get("materials")
sigma = request.json.get("sigma")
t_noct = request.json.get("t_noct")
try:
best_angle = cal_angle(prov, city)
power_trend = cal_generation(cap, angle, best_angle, dhi_list)
power_trend = cal_complex_gen(cap, angle, best_angle, dhi_list,
tmp_list, materials, sigma, t_noct)
resp_info["code"] = 200
resp_info["data"] = power_trend
except Exception as e:
@ -55,4 +83,4 @@ def get_power():
if __name__ == '__main__':
app.run(port=9515, host="0.0.0.0", debug=False)
app.run(port=9515, host="0.0.0.0", debug=True)

25
tools.py
View File

@ -2,6 +2,7 @@
import numpy as np
import json
import math
from logzero import logger
def load_config(path):
with open(path, 'r', encoding='utf-8') as fr:
@ -29,17 +30,19 @@ def cal_angle(prov:str, city:str, angle_config:dict):
values = city_values
return values
def cal_generation(cap: [int, float], angle, best_angle, dhi_list):
def cal_generation(cap:float, angle, best_angle, dhi_list):
"""_summary_
G = Y * cos(|x - y|)* 0.9 * GHI
"""
dhi_list = np.asarray(dhi_list)
return list(cap * math.cos(math.radians(abs(angle - best_angle))) * dhi_list)
logger.info(dhi_list)
index = math.cos(math.radians(abs(angle - best_angle)))
return list(cap * index * 0.9 * dhi_list / 1000)
def cal_complex_gen(cap:float, angle:float, best_angle:float,
dhi_list:list, t_list:list, materials:str, sigma:float=None,
t_noct:[float, int]=45, t_a_noct:[float, int]=20, g_noct:[float, int]=800, ita:float=0.083/0.9)->list:
t_noct:[float, int]=45)->list:
"""复杂的计算出力的方式
Args:
@ -47,17 +50,17 @@ def cal_complex_gen(cap:float, angle:float, best_angle:float,
angle (float): _光伏安装倾角(°).
best_angle (float): _当地最佳安装倾角
dhi_list (list): _未来120h辐照预测值，W/m2
t_list (list): _未来120气温预测值,℃
t_list (list): _未来120h气温预测值,℃
materials (str): _晶体材料
sigma (float, optional): _温度系数（%/℃）取值一般为[-0.45 ~ -0.33]，当该值不为None时，不通过晶体材料计算sigma. Defaults to None.
t_noct (int, optional): _电池片结温. Defaults to 45.
t_a_noct (int, optional): _NOCT下的环境温度. Defaults to 20.
g_noct (int, optional): _NOCT下的辐照(W/m2). Defaults to 800.
ita (_type_, optional): _常数系数. Defaults to 0.083/0.9=0.0922
Returns:
power_list(list[float]): 未来120h的小时出力，KW
"""
t_a_noct = 20
g_noct = 800
ita = 0.083 / 0.9
sigma_dict = {
"N型单晶": -0.38,
"P型单晶": -0.42,
@ -65,8 +68,14 @@ def cal_complex_gen(cap:float, angle:float, best_angle:float,
}
t_list = np.asarray(t_list)
dhi_list = np.asarray(dhi_list)
t_cell = t_list + (t_noct - t_a_noct)*(dhi_list / g_noct)*(1-ita)
t_cell = t_list + (float(t_noct) - t_a_noct)*(dhi_list / g_noct)*(1-ita)
if sigma is None:
sigma = sigma_dict.get(materials, -0.42)
else:
sigma = float(sigma)
K = 1 + sigma / 100 * (t_cell - t_a_noct)
return list(cap * math.cos(math.radians(abs(angle - best_angle))) * dhi_list) * K
if __name__ == '__main__':
print(cal_generation(200., 32, 33, [15., 21., 33., 94.]))