journal article·2025-05-16Open access

Fault Analysis and Protection Principle for the Distribution Networks Integrated with PV and BESS

Jianan He, Lei Li, Jian Niu, Yabo Liang, Haitao Liu, Zhenxin Yang, Chao Li, Zhihui Zheng

Applied Sciences· Volume 15· Issue 10

Abstract

With the rapid development of renewable energy technologies, large numbers of photovoltaic (PV) and battery energy storage systems (BESS) have been connected to distribution networks. However, both PV and the BESS are inverter interfaced power sources, which may cause the traditional protection relays to mis-operate or mal-operate. Moreover, according to the latest grid connection specifications, PV and BESS are required to absorb negative sequence current during asymmetric faults of distribution networks, indicating that they both must adopt new control strategies during the fault ride through period. In response to the above challenges, this work first studies the fault ride through control strategies of PV and BESS when different phase-to-phase faults occur according to the latest grid connection requirements. Second, it analyzes the negative sequence impedance characteristics of PV and BESS under asymmetric faults and quantitatively calculates its variation range. Third, during symmetric faults, the differences in fault current provided by PV and BESS and those provided by the large power grid are compared. Then, this work proposes a fault direction detection principle for the distribution network with PV and BESS. For asymmetric phase-to-phase faults, this principle detects the fault direction by using the negative sequence power angle; for symmetric faults, it detects the fault direction by using the reactive current and active current. Finally, simulation tests are carried out to verify the operation performance of the proposed principle.
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Research context

OpenAlex topics: Islanding Detection in Power Systems · Power Systems Fault Detection · HVDC Systems and Fault Protection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Electric Power Research Institute, State Grid Ningxia Electric Power Co., Ltd., Ningxia 750011, China

National Industry-Education Platform for Energy Storage, Tianjin University, Tianjin 300354, China

Funding

Ningxia Natural Science Foundation

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