6533b839fe1ef96bd12a670b

RESEARCH PRODUCT

Pareto-optimal Glowworm Swarms Optimization for Smart Grids Management

Maria Luisa Di SilvestreRoberto GalleaEleonora Riva Sanseverino

subject

Mathematical optimizationMeta-optimizationComputer scienceDerivative-free optimizationTest functions for optimizationSwarm behaviourMulti-swarm optimizationevolutionary optimization swarm-optimization pareto optimization micro-gridsMulti-objective optimizationMetaheuristicEngineering optimization

description

This paper presents a novel nature-inspired multi-objective optimization algorithm. The method extends the glowworm swarm particles optimization algorithm with algorithmical enhancements which allow to identify optimal pareto front in the objectives space. In addition, the system allows to specify constraining functions which are needed in practical applications. The framework has been applied to the power dispatch problem of distribution systems including Distributed Energy Resources (DER). Results for the test cases are reported and discussed elucidating both numerical and complexity analysis.

yearjournalcountryeditionlanguage
2013-01-01
10.1007/978-3-642-37192-9_3http://hdl.handle.net/10447/89845