The malicious load identification function of the smart electricity meter mainly identifies and analyzes malicious loads in the power grid by analyzing parameters such as power and current of the appliance, as well as the trend of changes in the power grid.Malicious load is a type of appliance that is used in overload, with its operating current exceeding its rated current. This easily leads to problems such as overheating of wires, short circuits inside appliances, and causing electrical fires. The occurrence of electrical fires often results in huge property losses and casualties, so it must be highly valued.

Smart electricity meters can detect undefined malicious loads, such as students using hair dryers, electric kettles, and high-power appliances such as water heaters. The sockets of the meter will automatically trip and cut off the power, and report to the management system. This is more suitable for safe electricity management in school dormitories. The malicious load recognition function of the smart electricity meter can effectively avoid safety issues such as electrical fires caused by the use of unauthorized electrical appliances, ensuring electrical safety.

Smart electricity meters identify malicious loads through various methods, mainly including the following:

1. Current detection method: Smart electricity meters can judge whether a load is malicious by detecting the current of electrical appliances. The working current of a malicious load usually exceeds its rated current. Therefore, it can be judged whether it is a malicious load by detecting the difference between the actual working current of the electrical appliance and the rated current. If the actual working current is much greater than the rated current, then the meter will judge this electrical appliance as a malicious load.

2. Power limitation method: Smart electricity meters can identify malicious loads by limiting the power usage of electrical appliances.

If the working power of an electrical appliance exceeds its rated power, the electric meter will identify the appliance as a malignant load. This method can effectively limit the use of high-power electrical appliances, thereby reducing the occurrence of electrical fires and other safety accidents.

3. Temperature detection method: Smart electricity meters can determine whether there is a malicious load by detecting the temperature of the wires. Because the use of malignant loads can cause the wires to overheat, the temperature of the wires can be detected to determine whether it is a malicious load.

If the wire temperature is too high, the smart electricity meter will identify the appliance as a malignant load.

4. Behavior analysis method: Smart electricity meters can identify malicious loads by analyzing the user's behavior patterns. For example, if a user uses high-power appliances multiple times in a short period, the meter will record and analyze these behaviors. If these behaviors are deemed abnormal, the meter will issue a warning or take other measures to limit the user's usage behavior.

The identification of malignant loads by smart electricity meters has wide applications in power systems, commercial buildings, industrial parks, and other places.

Through the malicious load identification function of the smart electricity meter, the use of malicious loads can be effectively detected and restricted. This ensures the safe and stable operation of the power system and the safety of users' lives and property.

In terms of the power system, the malicious load identification function of the smart electricity meter can detect and restrict the use of high-power electrical appliances. This helps to avoid safety accidents such as electrical fires. At the same time, through the malicious load identification function of the smart electricity meter, the load of the power system can be finely managed, improving the efficiency of power resource utilization.

In places such as commercial buildings and industrial parks, due to the large number of people and complex electrical equipment, stricter electrical management is required. The malicious load identification function of smart electricity meters can effectively detect and limit the use of malicious loads, thereby ensuring electrical safety and normal operation of equipment in the area. At the same time, through the malicious load identification function of smart electricity meters, real-time monitoring and analysis of electrical data in the area can also provide strong support for energy conservation, emission reduction, and energy management.