81 lines
2.5 KiB
Python
81 lines
2.5 KiB
Python
# -*-utf8-*-
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import numpy as np
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import json
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import math
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from logzero import logger
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def load_config(path):
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with open(path, 'r', encoding='utf-8') as fr:
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config = json.load(fr)
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return config
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def cal_angle(prov:str, city:str, angle_config:dict):
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"""_summary_
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Args:
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prov (str): _ 省、直辖市、自治区、特别行政区
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city (str): _ 地级市、地区、自治州、盟
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angle_config (dict): _
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Returns:
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_type_: _description_
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"""
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prov_values = angle_config.get(prov)
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if not prov_values:
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return False
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city_values = prov_values.get(city)
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if not prov_values:
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values = np.mean(list(prov_values.values), axis=0)
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else:
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values = city_values
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return values
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def cal_generation(cap:float, angle, best_angle, dhi_list):
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"""_summary_
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G = Y * cos(|x - y|)* 0.9 * GHI
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"""
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dhi_list = np.asarray(dhi_list)
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logger.info(dhi_list)
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index = math.cos(math.radians(abs(angle - best_angle)))
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return list(cap * index * 0.9 * dhi_list / 1000)
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def cal_complex_gen(cap:float, angle:float, best_angle:float,
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dhi_list:list, t_list:list, materials:str, sigma:float=None,
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t_noct:[float, int]=45)->list:
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"""复杂的计算出力的方式
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Args:
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cap (float): _装机容量(KW).
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angle (float): _光伏安装倾角(°).
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best_angle (float): _当地最佳安装倾角
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dhi_list (list): _未来120h辐照预测值，W/m2
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t_list (list): _未来120h气温预测值,℃
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materials (str): _晶体材料
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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.
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t_noct (int, optional): _电池片结温. Defaults to 45.
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Returns:
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power_list(list[float]): 未来120h的小时出力，KW
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"""
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t_a_noct = 20
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g_noct = 800
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ita = 0.083 / 0.9
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sigma_dict = {
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"N型单晶": -0.38,
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"P型单晶": -0.42,
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"P型多晶": -0.42
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}
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t_list = np.asarray(t_list)
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dhi_list = np.asarray(dhi_list)
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t_cell = t_list + (float(t_noct) - t_a_noct)*(dhi_list / g_noct)*(1-ita)
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if sigma is None:
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sigma = sigma_dict.get(materials, -0.42)
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else:
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sigma = float(sigma)
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K = 1 + sigma / 100 * (t_cell - t_a_noct)
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return list(cap * math.cos(math.radians(abs(angle - best_angle))) * dhi_list) * K
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if __name__ == '__main__':
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print(cal_generation(200., 32, 33, [15., 21., 33., 94.])) |