In a significant stride towards optimizing local electricity systems, researchers have developed a comprehensive framework for smart monitoring and management of systems powered by renewable energy sources. This innovative approach, detailed in a study published in the journal *Energies*, promises to revolutionize how we manage and utilize local electricity systems (LESs), particularly those integrated with renewable energy sources (RESs).
At the heart of this research is Olexandr Kyrylenko, a scientist from the Institute of Electrodynamics of the National Academy of Sciences of Ukraine. Kyrylenko and his team have crafted a functional scheme for smart monitoring of LESs, which encompasses a wide array of components and applications. “Our goal was to create a system that not only analyzes and optimizes existing processes but also aids in the design, planning, and control of future developments,” Kyrylenko explained.
The proposed smart monitoring system is designed to assess various critical aspects of LESs. These include the state of processes and equipment, dynamic pricing, economic efficiency, environmental impact, demand-side management, system development forecasts, and resistance to disturbances. The system also evaluates mutual electricity flows, metrological indicators, potential opportunities for generating renewable energy, current costs, electromagnetic compatibility, and the operation of energy storage devices.
One of the most compelling aspects of this research is its application in forming tariffs on local energy markets for transactive energy systems. By conducting a combined comprehensive assessment of the energy produced by each individual power source, the system can generate graphs that depict the dependence of costs on the generated power. “This allows for a more accurate and fair pricing mechanism, benefiting both producers and consumers,” Kyrylenko noted.
The study also introduces algorithms for the comprehensive assessment of electricity production costs in transactive systems, which are crucial for calculating planned costs and determining the cost of production per 1 kW. Visualization of these results further enhances the practical applicability of the research.
The implications of this research for the energy sector are profound. By enabling more efficient and effective management of local electricity systems, the smart monitoring framework can lead to significant cost savings, improved environmental sustainability, and enhanced grid stability. “This technology has the potential to transform the way we manage and utilize local electricity systems, making them more resilient, efficient, and environmentally friendly,” Kyrylenko added.
As the world continues to shift towards renewable energy sources, the need for advanced monitoring and management systems becomes increasingly critical. This research not only addresses this need but also paves the way for future developments in the field. By providing a robust framework for smart monitoring and management, it sets a new standard for the energy sector, ensuring that local electricity systems are optimized for performance, cost, and sustainability.
In conclusion, the research led by Olexandr Kyrylenko represents a significant advancement in the field of energy management. Its findings, published in *Energies*, offer valuable insights and practical tools for optimizing local electricity systems, ultimately contributing to a more sustainable and efficient energy future.