Heuristic-based shiftable loads optimal management in smart micro-grids

Maria Luisa Di Silvestre, Eleonora Riva Sanseverino, Roberto Gallea, Giorgio Graditi, Roberto Gallea, Eleonora Riva Sanseverino, Eleonora Riva Sanseverino, Maria Luisa Di Silvestre

Research output: Contribution to journalArticlepeer-review

123 Citations (Scopus)


In this paper, an optimal power dispatch problem on a 24-h basis for distribution systems with distributed energy resources (DER) also including directly controlled shiftable loads is presented. In the literature, the optimal energy management problems in smart grids (SGs) where such types of loads exist are formulated using integer or mixed integer variables. In this paper, a new formulation of shiftable loads is employed. Such formulation allows reduction in the number of optimization variables and the adoption of real valued optimization methods such as the one proposed in this paper. The method applied is a novel nature-inspired multiobjective optimization algorithm based on an original extension of a glowworm swarm particles optimization algorithm, with algorithmic enhancements to treat multiple objective formulations. The performance of the algorithm is compared to the NSGA-II on the considered power systems application.
Original languageEnglish
Pages (from-to)271-280
Number of pages10
JournalIEEE Transactions on Industrial Informatics
Publication statusPublished - 2015

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Heuristic-based shiftable loads optimal management in smart micro-grids'. Together they form a unique fingerprint.

Cite this