Heuristic-Based Shiftable Loads Optimal Management in Smart Micro-Grids
| العنوان: | Heuristic-Based Shiftable Loads Optimal Management in Smart Micro-Grids |
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| المؤلفون: | Maria Luisa Di Silvestre, Roberto Gallea, Giorgio Graditi, Eleonora Riva Sanseverino |
| المساهمون: | Graditi, G., Graditi, G, Di Silvestre, ML, Gallea, R, Riva Sanseverino, E |
| المصدر: | IEEE Transactions on Industrial Informatics. 11:271-280 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | Engineering, Mathematical optimization, smart-grid, Pareto optimization, warm-optimization, Heuristic (computer science), Energy management, swarm-optimization, Demand side management, mart-grids, Reduction (complexity), Electric power system, shiftable loads, smart-grids, hiftable load, Electrical and Electronic Engineering, Multi-swarm optimization, business.industry, Computer Science Applications1707 Computer Vision and Pattern Recognition, Computer Science Applications, Settore ING-IND/33 - Sistemi Elettrici Per L'Energia, shiftable load, Smart grid, Control and Systems Engineering, Distributed generation, business, Information Systems, Integer (computer science) |
| الوصف: | 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. |
| تدمد: | 1941-0050 1551-3203 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ae8f98b9f8c682a8bcd50aec11808bcTest https://doi.org/10.1109/tii.2014.2331000Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....8ae8f98b9f8c682a8bcd50aec11808bc |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19410050 15513203 |
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