A Mixed Integer Linear Programming for Optimising the Residential Solar Energy Storage System
- 1 Department of Mathematics and Computer Science, University of N'Djamena, Ndjamena, Chad
- 2 Department of Formation, SEFS, University of Gaston Berger, Saint-Louis, Senegal
- 3 Department of Mathematics and Computer Science, University of Felix Houphouet Boigny, Abidjan, Cote D'Ivoire
Abstract
The global electricity sector is facing a major transition to sustainable energy sources, with consumers playing a crucial role in realising the full potential of the international energy market. Residential energy storage systems are a priority to promote local flexibility and participation in the energy transition. The combination of solar energy generators and storage batteries is a key method of achieving self sufficiency in residential buildings, thereby increasing individual household independence. A mixed-integer linear programming (MILP) model formulated in AMPL and solved with CPLEX optimizes battery dimensions and operation, thereby improving performance and extending lifespan.
DOI: https://doi.org/10.3844/jmssp.2026.29.44
Copyright: © 2026 Teube Cyrille Mbainaissem, Dethie Dione, Bakary Kone and Youssoupha Toure. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Energy Optimisation
- Residential Storage
- Self-Consumption
- Photovoltaic Systems
- Intelligent Management
- Energy Transition