Reverse flow detection instrument

In a single inverter system, the instrument is directly connected to the inverter. If your inverter has a built-in Revenue Grade Table (RGM; this inverter is called an Revenue Grade Inverter), you can connect an external instrument on the same bus as the RGM.

AGF-AEReverse flow detection instrument

At present, power grid companies usually require photovoltaic grid connected systems to be non reversible power generation systems, that is, the electricity generated by photovoltaic grid connected systems is consumed by local loads, that is, self generated for self use. In grid connected power generation and energy storage systems, due to the constantly changing external environment, in order to prevent reverse power generation in photovoltaic grid connected systems, the system needs to perform reverse current detection. By monitoring the voltage and current signals on the low-voltage outlet side of the distribution transformer in real time, the system's power generation can be adjusted to achieve the anti reverse function of photovoltaic grid connected systems.

Photovoltaic anti backflow system

Photovoltaic DC Coupled Energy Storage System

Photovoltaic AC Coupled Energy Storage System

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Reverse flow detection instrument

Ankerui electric energy meter

Harmonic monitoring and transient event monitoring are two important monitoring functions of online power quality monitoring devices. Harmonic monitoring supports two display methods: intuitive bar charts and detailed tables. Figure 1 is an example of its bar chart. When transient accidents such as temporary rise, temporary fall, and short-term interruption occur in the power grid, the device will trigger alarms and event records. Figure 2 shows an event record of voltage temporary fall, which details key information such as the time, duration, depth, and remaining voltage of the temporary fall. In addition, the device also has a temporary voltage source positioning function, which can accurately determine whether the temporary voltage source comes from the bus side or the line side using the equivalent impedance algorithm, as shown in Figure 4. When a transient event occurs, the device will also record the corresponding waveform. Figure 5 shows a waveform of voltage sag, which is crucial for determining the type and cause of the fault. The tolerance curves presented in Figures 6 and 7 are ITIC and SEMI F47 curves generated by the device based on temporary reduction accidents, which intuitively reflect the degree of impact of accidents on equipment and provide strong basis for fault analysis. Through these functions, the online monitoring device for power quality has achieved monitoring and fault analysis of the power system.