In the ever-evolving landscape of energy distribution, a groundbreaking study published in ‘Dianli jianshe’ (translated as ‘Electric Power Construction’) is set to revolutionize how we manage and optimize distribution networks. Led by DENG Zhengdong from the Chuxiong Power Supply Bureau, Yunnan Power Grid Co., Ltd., and a team of researchers from Zhengzhou University, this innovative research introduces an adaptive optimal dispatching strategy for flexible interconnected distribution systems. The implications for the energy sector are profound, promising enhanced efficiency, cost savings, and improved voltage quality.
At the heart of this research is the concept of flexible interconnected soft open points, which act as controllable power regulation devices. These points can significantly improve power flow within distribution systems, making them more economical and reliable. “The key is to mitigate the impact of unplanned load fluctuations,” explains DENG Zhengdong. “Our approach leverages these flexible points to create a more resilient and efficient network.”
The study proposes a two-stage adaptive optimization scheduling framework that considers the different time-scales and response speeds of various adjustment devices. This framework facilitates collaborative optimization involving energy storage, soft open points, and distributed generation. By doing so, it addresses the competition between economic decision-making and voltage fluctuation decision-making, ensuring a balanced and effective operation.
One of the standout features of this research is the method for determining weight coefficients based on day-ahead optimization results during the intra-day stage. This method calculates weight coefficients for multiple objectives at various nodes and times, considering both temporal and spatial dimensions. “This dynamic weight coefficient determination method allows us to track system structure and operational demand more effectively,” says DENG. “It enables synergistic optimization of system economy and voltage deviation.”
The effectiveness of the proposed strategy was verified using the IEEE 33 system, a standard benchmark in the industry. The results were impressive: the strategy reduced distribution network operational costs and improved voltage quality. Compared to single-time-scale optimal scheduling strategies, the multi-time-scale approach showed better suppression of source-load fluctuations, resulting in lower operational costs and voltage fluctuations.
For the energy sector, these findings are a game-changer. They pave the way for more efficient and reliable distribution networks, which are crucial as we move towards a future dominated by renewable energy sources. The ability to adapt to unplanned load fluctuations and optimize power flow can lead to significant cost savings and improved service quality for consumers.
As the energy landscape continues to evolve, research like this will be instrumental in shaping future developments. The adaptive optimal dispatching strategy offers a blueprint for creating more resilient and efficient distribution systems, ensuring that the energy sector can meet the demands of a rapidly changing world. With the publication of this research in ‘Dianli jianshe’, the stage is set for a new era in energy distribution, one that promises to be more dynamic, efficient, and sustainable.