In the rapidly evolving energy sector, integrating renewable energy sources into distribution networks presents both opportunities and challenges. A recent study published in the Chinese journal *Electric Power* offers a promising solution to one of these challenges: voltage stability control in systems with high proportions of distributed energy resources. The research, led by Weidong Chen from the Electric Power Research Institute of Guangxi Power Grid Co., Ltd., introduces an intelligent control strategy driven by brain emotion learning, which could revolutionize how we manage flexible energy systems.
The study focuses on the low-carbon photovoltaic storage direct-flexible (PEDF) system connected to distribution networks. Traditional control methods often struggle with the complexity, nonlinearity, and uncertainty of such systems. Chen and his team propose a secondary control strategy based on a brain emotional learning-based intelligent controller (BELBIC). This controller is model-free, meaning it doesn’t require a detailed understanding of the system’s model or parameters, and it can automatically learn and adapt quickly.
“We aimed to create a controller that could handle the dynamic and unpredictable nature of photovoltaic storage systems,” Chen explained. “The BELBIC controller not only ensures robust regulation but also maintains low steady-state variation and high bandwidth, which are crucial for stable voltage control and accurate current sharing.”
The proposed strategy was tested on an OPAL-RT simulator under various conditions. The results were impressive, demonstrating the controller’s ability to recover bus voltage and accurately distribute load current within acceptable communication delay limits. This robustness and adaptability make the strategy particularly suitable for systems with high proportions of distributed energy resources.
The commercial implications of this research are significant. As the energy sector increasingly shifts towards renewable sources, the need for intelligent control systems that can manage the variability and complexity of these systems becomes paramount. Chen’s work provides an innovative solution that could enhance the flexibility and reliability of new distribution systems.
“This strategy offers an outstanding plug-and-play capability, which is a game-changer for the energy sector,” Chen added. “It simplifies the integration of distributed energy resources and ensures stable and efficient operation.”
The research published in *Electric Power* highlights the potential of brain emotion learning in developing intelligent control strategies for modern energy systems. As the energy sector continues to evolve, such advancements will play a crucial role in shaping the future of power distribution and management. The study not only addresses current challenges but also paves the way for further innovations in the field, promising a more stable and efficient energy landscape.