Comparison of Metaheuristic Algorithms for Simulation Based OPF Computation

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

Abstract

Electric power grid operation being an ever challenging scientific field is faced with a high variety of optimization problems. Since the future vision of so called smart grids causes higher complexity and new requirements to these problems, sophisticated investigation in suitable optimization algorithms is essential. Here, metaheuristic optimization strategies are proven to be suitable for high dimensional multimodal problems, and are capable of computing good solutions for hard problems in reasonable time. Therefore, a simulation- based optimization approach is introduced forming a highly applicable framework for testing the suitability of metaheuristic algorithms to practical optimization problems in power grid operation. Different algorithms will be experimentally compared to each other based on Optimal Power Flow computation to the standardized IEEE 30-Bus testcase.

Original languageEnglish
Title of host publication2011 12th Int. Conf. on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, EuroSimE 2011
DOIs
Publication statusPublished - 2011
Event12 th International Conference on Thermal, Mechanical and Multiphysics Simulation and Experiments in Micro/Nanoelectronics and Systems - Linz, Austria
Duration: 18 Apr 201120 Apr 2011

Publication series

Name2011 12th Int. Conf. on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, EuroSimE 2011

Conference

Conference12 th International Conference on Thermal, Mechanical and Multiphysics Simulation and Experiments in Micro/Nanoelectronics and Systems
Country/TerritoryAustria
CityLinz
Period18.04.201120.04.2011

Keywords

  • Optimal Power Flow
  • Heuristic Optimization
  • Simulation-Based Optimization

Fingerprint

Dive into the research topics of 'Comparison of Metaheuristic Algorithms for Simulation Based OPF Computation'. Together they form a unique fingerprint.

Cite this