@conference {7245,
	title = {Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrification in Algeria},
	booktitle = {International Conference on Artificial Intelligence in Renewable Energetic Systems(IC-AIRES{\textquoteright}21 )},
	volume = {361},
	year = {2021},
	pages = {21{\textendash}33},
	publisher = { Lecture Notes in Networks and Systems},
	organization = { Lecture Notes in Networks and Systems},
	address = {Tipasa, Algeria  },
	abstract = {
	This paper proposes an optimum design of a diesel/PV/wind/battery hybrid renewable energy system (HRES) for rural electrification in a remote district in Tamanrasset, Algeria. In this study, a particle swarm optimization algorithm (PSO) has been proposed to solve a multi-objective optimization problem, which was created by carrying out simultaneously, the cost of energy (COE) minimization while maximizing the reliability of power supply described as the loss of power supply probability (LPSP) and a renewable fraction (RF). The simulation results show that the PV/WT/DG/BT is the best economic configuration with a reasonable annual cost of the optimal system (ACS) which is about 7798.71\&nbsp;$ and the COE equal to 0.79\&nbsp;$/kWh for an LPSP\&nbsp;=\&nbsp;0.01\%, where the ten households are 0.99 \% satisfied by renewable energy sources.

},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-92038-8_3},
	author = {Zereg, Hadda and Bouzgou, Hassen}
}
