#!/usr/bin/python3 import paho.mqtt.client as mqtt import os from dotenv import load_dotenv from time import time, sleep import json from threading import Thread import requests import math # get env vars load_dotenv() mq_broker = os.getenv('MQBROKER', None) mq_port = int(os.getenv('MQPORT', None)) mq_user = os.getenv('MQUSER', None) mq_pwd = os.getenv('MQPWD', None) mq_topic_p_house = os.getenv('MQTOPIC_P_HOUSE', None) mq_topic_p_solar = os.getenv('MQTOPIC_P_SOLAR', None) maximum_data_ts_deviation = int(os.getenv('MAXIMUM_DATA_TS_DEVIATION', 5)) opendtu_address = os.getenv('OPENDTU_ADDR', None) opendtu_user = os.getenv('OPENDTU_USER', None) opendtu_pwd = os.getenv('OPENDTU_PWD', None) opendtu_inverter_sn = os.getenv('OPENDTU_INVERTER_SN', None) limit_correction_factor = float(os.getenv('LIMIT_CORRECTION_FACTOR', 1.0)) limit_update_interval = float(os.getenv('LIMIT_UPDATE_INTERVAL', 5)) power_target = int(os.getenv('POWER_TARGET', 50)) power_target_min = float(os.getenv('POWER_TARGET_MIN', 0)) power_target_max = float(os.getenv('POWER_TARGET_MAX', 100)) power_damping_factor = float(os.getenv('POWER_DAMPING_FACTOR', 0.3)) power_limit_change_treshold = float(os.getenv('POWER_LIMIT_CHANGE_TRESHOLD', 0.5)) power_limit_type = int(os.getenv('POWER_LIMIT_TYPE', 1)) dry_run = bool(int(os.getenv('DRY_RUN', 1))) # some checks for the correctness of supplied data if power_target_min < 0: power_target_min = 0 if power_target_max > 100: power_target_max = 100 if power_damping_factor < 0: power_damping_factor = 0.0 if power_damping_factor > 1: power_damping_factor = 1.0 # create the powers dict (containing the current use) and data variables (for thread sharing) powers_raw = {"solar": 0, "solar_ts": 0, "house": 0, "house_ts": 0} powers = {"total": None, "total_house": None, "total_solar": None, "timestamp": 0} # define mqtt callbacks def on_connect(client, userdata, flags, reason_code, properties): print(f"Connected with result code {reason_code}") client.subscribe("lge320/#") client.subscribe("solar/ac/#") def on_message(client, userdata, msg): #print(f"{msg.topic}: {msg.payload}") if msg.topic == mq_topic_p_house: powers_raw["house_ts"] = time() powers_raw["house"] = math.floor(((powers_raw["house"] + float(json.loads(msg.payload)["total_act_power"])) / 2)*10)/10 elif msg.topic == mq_topic_p_solar: powers_raw["solar_ts"] = time() powers_raw["solar"] = math.floor(((powers_raw["solar"] + float(msg.payload)) / 2)*10)/10 # initialize the mqtt client mqttc = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2) mqttc.on_connect = on_connect mqttc.on_message = on_message mqttc.username_pw_set(mq_user, mq_pwd) mqttc.connect(mq_broker, mq_port, 60) mqttc.loop_start() def threaded_current_power_calculation(): while True: last_powers = powers_raw.copy() while last_powers == powers_raw: sleep(0.2) if abs(powers_raw["solar_ts"] - powers_raw["house_ts"]) < maximum_data_ts_deviation and powers_raw["solar"] != None and powers_raw["house"] != None: print(f"Current total P: {powers_raw['solar'] + powers_raw['house']} | Solar P: {powers_raw['solar']} | House P: {powers_raw['house']}") powers["total"] = powers_raw["solar"] + powers_raw["house"] powers["total_house"] = powers_raw["house"] powers["total_solar"] = powers_raw["solar"] powers["timestamp"] = time() power_calc_thread = Thread(target=threaded_current_power_calculation) power_calc_thread.start() def threaded_solar_power_limit_setting(): last_time = time() while True: # Get current openDTU current limit status status = requests.get(opendtu_address.strip("/") + "/api/limit/status", auth=(opendtu_user, opendtu_pwd)).json().copy() while(time() - powers["timestamp"] > 1): # wait until recent data is available sleep(0.2) if status[opendtu_inverter_sn]["limit_set_status"] == "Ok" and powers["total"] != None: # calculate percentage to set the limit to new_ideal_limit = math.floor(((powers["total"]-power_target) / status[opendtu_inverter_sn]["max_power"]) * limit_correction_factor * 1000)/10 # * 100 because its a percentage if new_ideal_limit > power_target_max: new_ideal_limit = power_target_max if new_ideal_limit < power_target_min: new_ideal_limit = power_target_min cur_limit = status[opendtu_inverter_sn]["limit_relative"] diff_cur_new_limit = cur_limit - new_ideal_limit if abs(diff_cur_new_limit) >= power_limit_change_treshold: # dampen only when not giving away energy to the provider if powers["total_house"] < 0: new_dampened_limit = new_ideal_limit else: new_dampened_limit = cur_limit - (diff_cur_new_limit * (1-power_damping_factor)) new_dampened_limit = math.floor(new_dampened_limit*10)/10 if new_dampened_limit > power_target_max: new_dampened_limit = power_target_max if new_dampened_limit < power_target_min: new_dampened_limit = power_target_min if not dry_run: data_to_send = 'data={"serial":"'+opendtu_inverter_sn+'","limit_type":'+str(power_limit_type)+',"limit_value":'+str(new_dampened_limit)+'}' r = requests.post(opendtu_address.strip("/") + "/api/limit/config", data=data_to_send, headers={'Content-Type':'text/plain'}, auth=(opendtu_user, opendtu_pwd)) print("Setting new limit over the API: " + str(new_dampened_limit) + f"% (previously: {cur_limit}% | currently targeting: {new_ideal_limit}%)... ", end="") #print(f"Current limit: {cur_limit}, new ideal limit: {new_ideal_limit}, new dampened limit: {new_dampened_limit}") if json.loads(r.text)["type"] == "success": print("Success!") else: print(f"Unsuccessful :( Code: {json.loads(r.text)['code']} ({json.loads(r.text)['type']})") print(r.text) # keep and uncomment for debug reasons else: print("Now the new limit would be set over the API (but DRY_RUN is either not specified or True): " + str(new_limit) + "%") while (time() - last_time) < limit_update_interval: sleep(0.5) last_time = time() solar_power_limit_set_thread = Thread(target=threaded_solar_power_limit_setting) solar_power_limit_set_thread.start()