空调参与经济调度的python代码

空调参与经济调度通常涉及到电力系统管理中的优化算法，通过Python编写可以实现自动调整运行状态以节省能源。下面是一个简单的例子，展示如何使用Python模拟空调的温度控制和经济调度：

import numpy as np

class AirConditioner:
    def __init__(self, set_point=24, min_temp=18, max_temp=26):
        self.set_point = set_point
        self.min_temp = min_temp
        self.max_temp = max_temp
        self.current_temp = set_point
        self.power_consumption = 0

    def adjust_temperature(self, target_temp):
        if target_temp > self.max_temp or target_temp < self.min_temp:
            return "Target temperature out of range."
        else:
            self.current_temp = target_temp
            new_power = (target_temp - self.set_point) * 10  # 这里只是一个简化示例，实际功率计算可能更复杂
            self.power_consumption += new_power
            return f"Adjusted to {target_temp} with power consumption: {new_power}"

# 经济调度示例
def economic_scheduling(airconds, current_price, target_hours=8):
    total_cost = 0
    for ac in airconds:
        for _ in range(target_hours):
            temp_change = np.random.uniform(-1, 1)  # 模拟随机温度变化
            ac.adjust_temperature(ac.current_temp + temp_change)
            total_cost += ac.power_consumption * current_price / 100  # 将电价转换为每度成本

    return total_cost, [ac.current_temp for ac in airconds]

# 使用示例
ac1 = AirConditioner()
ac2 = AirConditioner()
price_now = 0.5  # 单价示例
total_cost, temperatures = economic_scheduling([ac1, ac2], price_now)

print(f"Total cost: {total_cost}")
print("Final temperatures:", temperatures)