In the dynamic world of renewable energy, the integration of multiple energy sources is becoming increasingly crucial. A groundbreaking study led by Lingfeng Kou from the State Grid Shanghai Energy Interconnection Research Institute in Beijing, China, has introduced a novel approach to optimizing multi-energy complementary systems. This research, published in Zhongguo dianli (China Electric Power), focuses on the optimal configuration of systems that combine wind power, photovoltaic power, and energy storage, aiming to minimize costs and maximize efficiency.
The study proposes a full life cycle optimization method that considers the interaction between the multi-energy system and the distribution network, as well as demand-side response costs. This approach is a significant advancement in the field, as it addresses the complexities of integrating multiple energy sources into a cohesive and efficient system. “Our method not only optimizes the configuration of the system but also ensures that the energy storage output is within the optimal range,” says Kou. This dual-layer optimization model is designed to perform global optimization with the goal of minimizing annual investment costs, while also focusing on daily operating costs and the utilization of renewable energy.
The upper layer of the model determines the optimal configuration scheme and energy storage output range, while the lower layer focuses on multi-objective economic scheduling. This bi-level optimization approach allows for a more comprehensive analysis of the system’s performance, ensuring that both short-term and long-term goals are met. The research considers both independent and grid-connected multi-energy complementary systems, providing a versatile solution for various energy infrastructure scenarios.
The implications of this research are far-reaching. By optimizing the configuration and operation of multi-energy systems, energy providers can significantly reduce costs and improve the reliability of their power supply. This is particularly important in regions where renewable energy sources are abundant but intermittent, such as wind and solar power. The ability to store excess energy and release it when needed can stabilize the grid and reduce the need for fossil fuel-based backup power.
The study’s findings are supported by real-world data, which adds to its credibility and practical applicability. The researchers used actual scenery data to verify the correctness and effectiveness of their optimization configuration strategy. This empirical validation is a testament to the robustness of the proposed method and its potential for real-world implementation.
As the energy sector continues to evolve, the integration of multiple energy sources will become increasingly important. This research by Lingfeng Kou and his team at the State Grid Shanghai Energy Interconnection Research Institute provides a valuable framework for optimizing multi-energy systems, paving the way for more efficient and cost-effective energy solutions. The publication of this study in Zhongguo dianli (China Electric Power) underscores its significance in the field and its potential to shape future developments in renewable energy integration.
