（九十）ArkCompiler 在智能能源中的应用：从编译优化到效率与可靠性提升 原创

import random                                 # 模拟电表数据采集                def collect_data():                    return random.uniform(0, 10)  # 随机生成一个 0 到 10 之间的电量值                                 # 数据处理函数，计算一段时间内的平均电量                def process_data(data_list):                    if not data_list:                        return 0                    total = sum(data_list)                    return total / len(data_list)                                 # 模拟一段时间内的数据采集和处理                data_points = []                for _ in range(100):                    data = collect_data()                    data_points.append(data)                                 average_power = process_data(data_points)                print(f"平均电量: {average_power}")
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# 定义能源资源类                class EnergyResource:                    def __init__(self, name, capacity):                        self.name = name                        self.capacity = capacity                                     def generate_power(self):                        return random.uniform(0, self.capacity)                                 # 定义能源管理系统类                class EnergyManagementSystem:                    def __init__(self, resources):                        self.resources = resources                                     def allocate_resources(self, demand):                        total_power = 0                        allocation = {}                        for resource in self.resources:                            power = resource.generate_power()                            total_power += power                            allocation[resource.name] = power                            if total_power >= demand:                                break                        return allocation                                 # 创建能源资源                solar_panel = EnergyResource("太阳能板", 10)                wind_turbine = EnergyResource("风力发电机", 15)                                 # 创建能源管理系统                ems = EnergyManagementSystem([solar_panel, wind_turbine])                                 # 模拟能源需求                demand = 12                allocation = ems.allocate_resources(demand)                print(f"能源分配结果: {allocation}")
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# 定义充电桩类                class ChargingPile:                    def __init__(self, max_power):                        self.max_power = max_power                                     def charge(self, vehicle, target_charge):                        current_charge = vehicle['charge']                        power = min(self.max_power, target_charge - current_charge)                        # 模拟充电过程                        vehicle['charge'] += power                        return vehicle                                 # 模拟车辆信息                vehicle = {'charge': 20}                charging_pile = ChargingPile(50)                charged_vehicle = charging_pile.charge(vehicle, 80)                print(f"充电后车辆电量: {charged_vehicle['charge']}")
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# 模拟电网状态数据                grid_status = [1, 1, 0, 1, 1]  # 0 表示故障                                 # 故障监测函数                def monitor_grid(status):                    for i, state in enumerate(status):                        if state == 0:                            print(f"检测到电网故障，位置: {i}")                            return i                    return None                                 fault_location = monitor_grid(grid_status)                if fault_location is not None:                    print(f"故障已定位，正在进行处理...")
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# 模拟微电网发电设备                generators = [{'power': 20}, {'power': 30}, {'power': 15}]                                 # 模拟能源需求                demand = 40                                 # 功率调整函数                def adjust_power(generators, demand):                    total_power = sum([gen['power'] for gen in generators])                    if total_power > demand:                        excess = total_power - demand                        for gen in generators:                            if gen['power'] >= excess:                                gen['power'] -= excess                                break                    elif total_power < demand:                        shortage = demand - total_power                        for gen in generators:                            if gen['power'] < 50:  # 假设最大输出功率为 50                                available_increase = 50 - gen['power']                                if available_increase >= shortage:                                    gen['power'] += shortage                                    break                                else:                                    gen['power'] = 50                                    shortage -= available_increase                    return generators                                 adjusted_generators = adjust_power(generators, demand)                print(f"调整后发电设备功率: {adjusted_generators}")
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