Title :
Heuristic-Based Shiftable Loads Optimal Management in Smart Micro-Grids
Author :
Graditi, Giorgio ; Di Silvestre, Maria Luisa ; Gallea, Roberto ; Riva Sanseverino, Eleonora
Author_Institution :
Ente per le Nuove Tecnol., l´Energia e lo Sviluppo Economico Sostenibile (ENEA), Naples, Italy
Abstract :
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.
Keywords :
distributed power generation; load dispatching; particle swarm optimisation; power system management; smart power grids; DER; NSGA-II; algorithmic enhancements; distributed energy resources; distribution systems; glowworm swarm particles optimization algorithm; heuristic-based shiftable loads optimal management; integer variables; mixed integer variables; multiple objective formulations; nature-inspired multiobjective optimization algorithm; optimal power dispatch problem; power systems application; real valued optimization methods; smart microgrids; time 24 h; Energy management; Energy resources; Home appliances; Load modeling; Optimization; Production; Smart grids; Demand side management; Pareto optimization; shiftable loads; smart-grids; swarm-optimization;
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2014.2331000