Abstract

NAMAGANDA-KIYIMBA, Jane  and  MUTALE, Joseph. An Optimal Rural Community PV Microgrid Design Using Mixed Integer Linear Programming and DBS CAN Approach. SAIEE ARJ [online]. 2020, vol.111, n.3, pp.111-119. ISSN 1991-1696.

The deployment of microgrids has been identified as one of the fastest ways of bringing electricity to the large number of people that are currently without electricity access. In developing countries in Africa, most of these people live in rural locations that are not served by the main grid making it necessary to establish community microgrids. These microgrids should be optimally sized so as to meet the electrical needs of the communities cost effectively. This work presents an efficient and robust sizing approach for off-grid PV microgrid systems that has been named as the ComfiGrid Sizing Approach in this research. This approach utilizes "Mixed Integer Linear Programming (MTLP)" to optimally size the PV microgrid. The ComfiGrid optimization algorithm uses hourly load variation, hourly solar irradiance values and hourly ambient temperature to optimally size the system. This approach also uses the "Density Based Spatial Clustering of Applications with Noise (DBSCAN)" algorithm to aggregate load and meteorological data. MATLAB software is used to execute the optimization algorithm. The results show that it is possible to achieve accuracy and a faster convergence to the solution with the proposed approach than that of the iterative method.

Keywords : Microgrid; Mixed Integer Liner Programming; Reliability; Rural Electrification; Solar Photovoltaics.

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