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<p>Electricity poverty restricts opportunities in remote rural areas, necessitating efficient nanogrids with well-designed strategies. This paper proposes priority-based control of a standalone DC nanogrids for photovoltaic powered residential buildings in rural areas. The objective is to manage loads based on user priorities, photovoltaic power availability, and battery energy storage system status to optimize photovoltaic utilization. A control algorithm supporting both automatic and manual operation modes is developed, enabling tailored load activation durations according to energy availability and user preferences. The dual-mode load management strategy is complemented by a battery charging and discharging control mechanism responsive to solar irradiance and connected loads. The developed algorithm is tested under various scenarios to demonstrate the effectiveness of the proposed approach in enhancing energy security and promoting sustainable development in rural areas. Specifically, under fluctuating irradiance between 500 and 1000 W/m<sup>2</sup>, the system maintained a state of charge of the battery above 35%, avoiding deep discharges. During peak solar conditions, the battery reached a state of charge of 90%, ensuring optimal energy utilization. Additionally, the control system successfully prioritized critical loads, ensuring continuous power supply even during periods of low irradiance.</p>

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Priority-based control strategy for enhanced PV utilization in off-grid solar DC nanogrids

  • 期刊论文

  • 发表日期：

    2025年9月1日

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  • Anuradha Tomar,
  • Virat Shishodia

摘要

Electricity poverty restricts opportunities in remote rural areas, necessitating efficient nanogrids with well-designed strategies. This paper proposes priority-based control of a standalone DC nanogrids for photovoltaic powered residential buildings in rural areas. The objective is to manage loads based on user priorities, photovoltaic power availability, and battery energy storage system status to optimize photovoltaic utilization. A control algorithm supporting both automatic and manual operation modes is developed, enabling tailored load activation durations according to energy availability and user preferences. The dual-mode load management strategy is complemented by a battery charging and discharging control mechanism responsive to solar irradiance and connected loads. The developed algorithm is tested under various scenarios to demonstrate the effectiveness of the proposed approach in enhancing energy security and promoting sustainable development in rural areas. Specifically, under fluctuating irradiance between 500 and 1000 W/m2, the system maintained a state of charge of the battery above 35%, avoiding deep discharges. During peak solar conditions, the battery reached a state of charge of 90%, ensuring optimal energy utilization. Additionally, the control system successfully prioritized critical loads, ensuring continuous power supply even during periods of low irradiance.