Assesses fuzzy-PI control impact on PV systems in HESS, indicating enhanced efficiency and response times.
In response to increasing energy demands, renewable energy sources (RES) are gaining popularity throughout the world. This is as a result of the need to reduce emission of pollutants and dependency on fossil fuels. In order to improve efficiency and maintain grid dependability, modern energy management systems are employed. Different control strategies for DC-DC bidirectional converters have been designed. However, the controllers have drawbacks of high peak overshoot values and increased settling times whenever there is a step change in PV generation. This study develops a fuzzy-PI control method for PV-based DC microgrid systems that employ SCs and batteries. The suggested technique increases the HESS’s overall effectiveness by utilizing the battery pack’s imbalanced energy. The suggested fuzzy-PI controller was able to restore the voltage to the appropriate level when abrupt changes in irradiance take place with a transient response of 0.035s settling time and 14.6% overshoot value. In terms of time response, power production, extending battery life, and guaranteeing a steady supply of the PV system, the results show that the suggested approach is more efficient.
No takes yet. Share an insight, caveat, or question.
Akatwijuka et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: