1. A Monte Carlo method to solve the optimal coordination of directional overcurrent protections considering all the possible fault locations.
- Author
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De Oliveira-De Jesus, Paulo M. and Sorrentino, Elmer
- Subjects
- *
FAULT location (Engineering) , *MONTE Carlo method , *PROTECTIVE relays , *OVERCURRENT protection , *PARALLEL programming - Abstract
This paper presents a Monte Carlo method to solve the Optimal Coordination of Directional Over-Current Protections (OC-DOCP) considering transient configurations and all the possible Fault Locations (FLs). Previous methods cannot guarantee complete selectivity because they do not consider all the possible FLs. In the proposed method, near-end, and far-end faults are complemented by additional FLs, which are chosen from many randomly generated candidates (Monte Carlo method). Each FL candidate is included in the set of constraints at once to solve an OC-DOCP, whose results are the inputs for a simulator that assesses speed and selectivity indexes considering all the possible FLs. Thus, the FL with the maximum selectivity index is chosen to remain in the set of constraints for the next steps in an iterative procedure that finishes when the specified level of selectivity is reached. From the first iteration, the selectivity index obtained with the proposed method is substantially better than those obtained with the optimal solution of previous methods. The selectivity index is increased successively until it reaches practically 100%, without the need of including all the FLs in the set of constraints. Furthermore, an important improvement in the selectivity index is obtained without a significant worsening of the protection speed. The fact of solving many small optimization problems is an attractive feature of this method because facilitates the possibility of applying parallel computing to this problem. • Previous coordination methods consider few fault locations in the optimization model. • Optimal coordination with few locations does not guarantee complete selectivity. • The consideration of all fault locations in the model is computationally burdensome. • Monte Carlo is used to select a reduced set of locations that assure maximum selectivity. • A comparison with two existing solutions over the same case study is carried out. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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