Linear programming combined with mixed integer GA for energy management optimization of a PV-wind-battery hybrid system subject to residential demand response

• Published in: AIP conference proceedings Vol. 2437; no. 1
• Main Authors: Chakir, Asmae, Tabaa, Mohamed, Moutaouakkil, Fouad, Medromi, Hicham, Alami, Karim
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Melville American Institute of Physics 17.08.2022
• Subjects: Classification; Energy management; Hybrid systems; Linear programming; Mixed integer; Optimization; Smart buildings
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0092333

In this paper, we propose a new hybrid architecture of a renewable PY-Wind-Battery hybrid system. This architecture will be connected to the grid to alternatively supply a Moroccan house in a smart city environment. The energy management source-side is modeled according to a linear programming optimization with an objective function that aims to minimize the energy purchased from the utility grid and to ensure the energy balance of the HRES-HOME system. Otherwise, the demand side was optimized with a mixed integer GA programming based on smart home loads categorization. This will ensure an autonomous internal management system and a grid interconnection just to inject the surplus or during critical shortages after demand side management. The resolution of this program has been realized with MATLAB platform minimization toolbox. The simulation of the results proved the accuracy of the proposed methodology. Effectively, 82.42% was well reduced with the use of the hybrid system and linear optimization system. A study on the categorization of smart home loads revealed that for a house with 25% of the energy consumed is devoted to controllable loads, 75% of the rest should be assigned to reducible controllable loads.