A Local measurement based protection technique for distribution system with photovoltaic plants

Inverter interfaced distributed generation units contribute limited fault current and thereby the current magnitude-based protection schemes find limitation for such situations. Change in penetration level of renewable energy sources with time makes available protection schemes more challenging. The distinction between load and fault current is an issue and with high resistance fault, level of fault current and load current becomes comparable. In this paper, local measurement-based protection technique is proposed that uses current and voltage signals to derive accurate protection decision for a distribution system in the presence of distributed generation units. The method uses real and reactive power calculated at the relay point for the decision. The performance of the algorithm is tested for a 33 bus distribution system simulated using DIgSILENT PowerFactory. Considering such units, the method is tested for both islanded and grid-connected modes, the varying level of distributed generation penetration and for different fault resistances. The results demonstrate the strength of the proposed method over available techniques. The proposed method is also validated using hardware-in-loop testing using Arduino NANO microcontroller and OPAL-RT simulator in real-time.

[1]  Zhe Chen,et al.  A Simple Adaptive Overcurrent Protection of Distribution Systems With Distributed Generation , 2011, IEEE Transactions on Smart Grid.

[2]  A. Dysko,et al.  An Adaptive Overcurrent Protection Scheme for Distribution Networks , 2015, IEEE Transactions on Power Delivery.

[3]  Gorazd Štumberger,et al.  Protection of MV Closed-Loop Distribution Networks With Bi-Directional Overcurrent Relays and GOOSE Communications , 2019, IEEE Access.

[4]  Tarlochan S. Sidhu,et al.  A Protection Strategy and Microprocessor-Based Relay for Low-Voltage Microgrids , 2011, IEEE Transactions on Power Delivery.

[5]  Hiroyuki Kudo,et al.  A cooperative protection system with an agent model , 1998 .

[6]  Graeme Burt,et al.  Quantitative analysis of network protection blinding for systems incorporating distributed generation , 2012 .

[7]  T.S. Sidhu,et al.  Restoration of Directional Overcurrent Relay Coordination in Distributed Generation Systems Utilizing Fault Current Limiter , 2008, IEEE Transactions on Power Delivery.

[8]  Xi Wang,et al.  A New Adaptive Voltage Protection Scheme for Distribution Network With Distributed Generations , 2013, Canadian Journal of Electrical and Computer Engineering.

[9]  Yilu Liu,et al.  Regional Area Protection Scheme for Modern Distribution System , 2019, IEEE Transactions on Smart Grid.

[10]  A. Yokoyama,et al.  Prevention of Reliability Degradation from Recloser–Fuse Miscoordination Due To Distributed Generation , 2008, IEEE Transactions on Power Delivery.

[11]  Felix F. Wu,et al.  Network reconfiguration in distribution systems for loss reduction and load balancing , 1989 .

[12]  Tarlochan S. Sidhu,et al.  Investigations Into the Control and Protection of an Existing Distribution Network to Operate as a Microgrid: A Case Study , 2014, IEEE Transactions on Industrial Electronics.

[13]  Dipti Srinivasan,et al.  A Fast and Scalable Protection Scheme for Distribution Networks With Distributed Generation , 2016, IEEE Transactions on Power Delivery.

[14]  Prabodh Bajpai,et al.  Voltage control of PV inverter connected to unbalanced distribution system , 2019, IET Renewable Power Generation.

[15]  Raphael Caire,et al.  Neural Networks to Improve Distribution State Estimation—Volt Var Control Performances , 2012, IEEE Transactions on Smart Grid.

[16]  Hannu Laaksonen,et al.  Adaptive Protection and Microgrid Control Design for Hailuoto Island , 2014, IEEE Transactions on Smart Grid.

[17]  Xin Yin,et al.  Fault Analysis of Inverter-Interfaced Distributed Generators With Different Control Schemes , 2018, IEEE Transactions on Power Delivery.