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Mean–Variance Mapping Optimization Algorithm for Power System Applications in DIgSILENT PowerFactory

Abstract:

The development and application of heuristic optimization algorithms have gained a renewed interest due to the limitations of classical optimization tools for tackling several hard-to-solve problems in different engineering fields. Due to the complex nature of power system dynamics, electrical engineering optimization problems usually present a discontinuous multimodal and non-convex landscape that necessarily has to be handled by heuristic optimization algorithms. While most of the pioneer heuristic optimization approaches, such as genetic algorithms, particle swarm optimization, and differential evolution, are undergoing different types of modifications and extensions in order to improve their performance, great focus is also being put into the development of new approaches aiming at conceptual simplicity, easy adaptability for a variety of optimization-based applications, and outstanding performance …