Adaptive protection method for distribution networks with inverter interfaced distributed generation based on equivalent impedance and power angle characteristics
XU Biao, OUYANG Fan, LI Qing, et al. Adaptive protection method for distribution networks with inverter interfaced distributed generation based on equivalent impedance and power angle characteristics[J]. 2026, 59(7): 32-43.
XU Biao, OUYANG Fan, LI Qing, et al. Adaptive protection method for distribution networks with inverter interfaced distributed generation based on equivalent impedance and power angle characteristics[J]. 2026, 59(7): 32-43.DOI: 10.11930/j.issn.1004-9649.202510079.
With the widespread adoption of inverter-interfaced distributed generation (IIDG) in high-penetration distribution networks
its nonlinear fault current characteristics—constrained by power electronic control strategies—pose serious challenges to conventional current protection
such as reduced sensitivity
malfunction
and failure to operate. To address this issue
this paper provides an in-depth analysis of the output characteristics of IIDG under asymmetrical faults based on low-voltage ride-through control
establishes a quantitative mathematical model coupling positive-sequence power angle with positive- and negative-sequence voltages
and further reveals the evolution of the IIDG output power angle during faults. On this basis
a dual adaptive protection strategy is proposed. On the one hand
the strategy dynamically adjusts the overcurrent protection threshold by real-time monitoring of the equivalent impedance of IIDG
thereby mitigating the insufficient sensitivity caused by limited fault current. On the other hand
by constructing a dynamic direction criterion based on power angle deviation
it achieves accurate identification of fault direction using the distinct power angle response characteristics of IIDG during faults. Verification results based on a real-time digital simulation system show that the proposed method can effectively adapt to different fault types and severity levels. Compared with conventional methods
it significantly expands the protection coverage and improves the accuracy and operating speed of direction discrimination
thus providing a reliable theoretical foundation and technical support for protection configuration of distribution networks with a high share of renewable energy.