MVMO-based approach for optimal placement and tuning of supplementary damping controller

  • J.L> Rueda Torres
  • F Gonzalez-Longatt
Keywords: Coordinated control, damping controllers, metaheuristics, small signal stability

Abstract

This paper introduces an approach based on the Swarm Variant of the Mean-Variance Mapping Optimization (MVMO-S) to solve the multi-scenario formulation of the optimal placement and coordinated tuning of power system supplementary damping controllers (POCDCs). The effectiveness of the approach is evaluated based on the classical IEEE 39-bus (New England) test system. Numerical results include performance comparisons with other metaheuristic optimization techniques, namely, comprehensive learning particle swarm optimization (CLPSO), genetic algorithm with multi-parent crossover (GA-MPC), differential evolution DE algorithm with adaptive crossover operator, linearized biogeography-based optimization with reinitialization (LBBO), and covariance matrix adaptation evolution strategy (CMA-ES).

Keywords: Coordinated control, damping controllers, metaheuristics, small signal stability

Published
2016-11-04
Section
Articles

Journal Identifiers


eISSN: 2141-2839
print ISSN: 2141-2820