Security constrained opf by fuzzy stochastic algorithms in interconnected power systems

Abstract EN

This paper presents two new computationally efficient improved stochastic algorithms for solving Security Constrained Optimal Power Flow (SCOPF) in interconnected power systems.

These algorithms are based on the combined application of Fuzzy Logic strategy incorporated in both Evolutionary Programming (EP) and Tabu Search (TS) algorithms, hence named as Fuzzy Mutated Evolutionary Programming (FMEP) and Fuzzy Guided Tabu Search (FGTS).

The SCOPF calculation determines the schedule power system controls to achieve operation at a desired security level, while minimizing the generator fuel cost.

The proposed methods are tested on single area IEEE 30-bus system and interconnected two area systems.

The optimal solutions obtained using EP, TS, FMEP and FGTS are compared and analyzed.

The analysis reveals that the proposed algorithms are relatively simple, efficient, reliable and suitable for real-time applications.

And these algorithms can provide accurate solution with fast convergence and have the potential to be applied to other power engineering problems.