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RESEARCH PRODUCT
Heuristic-Based Shiftable Loads Optimal Management in Smart Micro-Grids
Maria Luisa Di SilvestreRoberto GalleaGiorgio GraditiEleonora Riva Sanseverinosubject
EngineeringMathematical optimizationsmart-gridPareto optimizationwarm-optimizationHeuristic (computer science)Energy managementswarm-optimizationDemand side managementmart-gridsReduction (complexity)Electric power systemDemand side management;Pareto optimization;swarm-optimization;shiftable loads;smart-gridshiftable loadElectrical and Electronic EngineeringMulti-swarm optimizationbusiness.industryComputer Science Applications1707 Computer Vision and Pattern Recognitionsmart-gridsComputer Science ApplicationsSettore ING-IND/33 - Sistemi Elettrici Per L'Energiashiftable loadSmart gridControl and Systems EngineeringDistributed generationshiftable loadsbusinessInformation SystemsInteger (computer science)description
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. © 2005-2012 IEEE.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-02-01 | IEEE Transactions on Industrial Informatics |