Mixed Integer Linear Programming Applied to Adaptive Directional Overcurrent Protection Considering N-1 Contingency

• Published in: IEEE transactions on industry applications Vol. 59; no. 3; pp. 2807 - 2821
• Main Authors: Martin, Klaus Tesser, Marchesan, Adriano Cavalheiro, de Araujo, Olinto Cesar Bassi, Cardoso, Ghendy, da Silva, Marcelo Freitas
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive protection; Circuits; Communications systems; Contingency; Contingency management; Coordination; directional overcurrent relay; Integer programming; Linear programming; Methodology; Mixed integer; Mixed integer linear programming; Network topologies; Network topology; Overcurrent; power system protection; Power systems; Relays; Short circuits; Short-circuit currents; Smart grid; Test systems; Topology
• ISSN: 0093-9994; 1939-9367
• DOI: 10.1109/TIA.2023.3238004

This work proposes a methodology for directional overcurrent protection coordination in interconnected transmission systems considering a possible network contingency state. The methodology uses the short-circuit data of the current network topology; however, the maximum load current data in the protection section of each relay is obtained considering the n-1 criterion, already foreseeing the disconnection of some network line. Thus, if a line gets disconnected, other protective devices will not improperly actuate by the redistribution of load currents in the network. The objective is to propose an adaptive protection scheme to redo the coordination for each topological change in the network. To this end, this work considers a smart grid environment with a supervisory system with communication capability between this and the remote devices. To obtain the optimal performance, the coordination problem, originally non-linear and non-convex, is linearized, allowing its formulation as a Mixed Integer Linear Programming problem. The methodology is applied to the 8-bus test system in 3 different cases and the 30-bus test system. Results show that the optimal coordination is obtained in a fast computational processing time, showing the suitability of the methodology for real-time application.