Assessment of Solar-Powered Microgrid Reliability in Rural Communities

Thesis Abstract

In many rural communities, access to reliable electricity remains a significant challenge, impeding socioeconomic development and quality of life. The integration of solar-powered microgrids presents a promising solution to address this energy deficit; however, their reliability under varying environmental, technical, and operational conditions warrants comprehensive assessment. This study aims to evaluate the reliability of solar-powered microgrids deployed in rural settings, focusing on identifying primary failure modes, assessing system performance metrics, and understanding user perceptions of service stability. Specific objectives include quantifying system availability, analyzing the influence of meteorological variability on power supply, and evaluating stakeholder satisfaction levels. Employing a mixed-methods research design, the study integrates quantitative data analysis with qualitative insights to offer a holistic evaluation of microgrid reliability. The research population comprises 15 operational solar microgrids within three distinct rural regions, encompassing a total of approximately 3,500 users. A stratified random sampling technique was employed to select a sample of 300 end-users for survey administration, alongside in-depth interviews with 15 key stakeholders including system operators, community leaders, and local policymakers. Data collection instruments included structured questionnaires, system performance logs, meteorological data records, and semi-structured interview guides. The reliability and validity of survey instruments were ensured through pilot testing, Cronbach’s alpha reliability analysis (? > 0.75), and expert reviews. Quantitative data analyses involve descriptive statistics to characterize system performance, followed by regression analysis to examine relationships between meteorological variables and energy output. System reliability metrics, such as mean time between failures (MTBF) and system availability, were computed following IEEE standards. Qualitative data from interviews were subjected to thematic analysis to uncover stakeholder perspectives on system performance, challenges, and community acceptance. The study also utilizes fault tree analysis to identify dominant failure modes and employs the Monte Carlo simulation model to forecast reliability scenarios under different environmental and operational conditions. Expected findings signal that solar microgrid reliability is significantly influenced by local weather patterns, with cloud cover and snowfall contributing to reduced power availability during certain seasons. The analysis aims to reveal an average system availability of approximately 92%, with downtime primarily caused by inverter faults and battery degradation. User satisfaction surveys are anticipated to indicate a high degree of acceptance among households, contingent on consistent power supply. The integration of qualitative insights will provide a nuanced understanding of factors affecting perceived reliability and community trust. This research contributes novel empirical evidence to the body of knowledge on renewable energy infrastructure resilience, specifically by delineating the operational reliability of solar microgrids in rural microclimates. It advances theoretical approaches by applying the Theory of Technical System Reliability and the Socio-Technical Systems Theory to interpret system performance both technically and socially. The findings are expected to inform policymakers, system designers, and developmental agencies aimed at optimizing microgrid deployment, maintenance strategies, and community engagement practices. The study concludes that enhancing microgrid reliability requires targeted intervention strategies, including improved fault detection mechanisms, routine maintenance schedules, and community education programs to foster local system stewardship. Recommendations include adopting advanced predictive maintenance models, integrating climate-resilient components, and establishing local capacity-building initiatives to sustain system performance. Future research should explore the long-term socio-economic impacts of microgrid reliability improvements and the integration of smart grid technologies to further enhance system resilience and user satisfaction.