Yunnan Power Dispatching Control Center’s Zhai Optimizes Grid Stability with Dual-Layer Reactive Power Strategy

In the rapidly evolving landscape of power systems, the integration of massive distributed energy resources presents both opportunities and challenges. Among the key hurdles is managing the unpredictable nature of these resources, which can introduce unconventional safety risks and complications in maintaining grid stability. Enter Suwei Zhai, a researcher at the Yunnan Power Dispatching Control Center of China Southern Power Grid, who has been delving into these complexities and proposing innovative solutions.

Zhai’s recent work, published in ‘Zhongguo dianli’ (translated to ‘China Electric Power’), introduces a two-layer cooperative reactive power control strategy designed to tackle the uncertainties posed by distributed energy sources. This strategy is not just about managing reactive power; it’s about optimizing it to minimize distribution network losses and enhance overall system stability.

At the heart of Zhai’s approach is a sophisticated reactive power optimization model. This model considers various regulatory equipment constraints and aims to minimize network losses. “The key is to balance the reactive power flow efficiently across the distribution network,” Zhai explains. “By doing so, we can significantly reduce losses and improve the stability of the new power system.”

The strategy employs a dual-layer solution framework. The outer layer uses an adaptive overrelaxation penalty parameter alternating direction method of multipliers (ADMM) for global update iterative solutions. This method ensures that the optimization process is both efficient and effective. The inner layer, meanwhile, utilizes the column-and-constraint generation (C&CG) algorithm to solve the two-stage distributionally robust reactive power optimization model for each region. This layered approach allows for a more granular and precise control of reactive power, addressing the unique challenges posed by distributed energy resources.

The implications of Zhai’s research are far-reaching for the energy sector. As the world transitions towards more decentralized and renewable energy sources, the ability to manage reactive power efficiently will become increasingly critical. This research could pave the way for more stable and efficient power distribution networks, reducing operational costs and enhancing reliability.

For energy companies, the potential commercial impacts are substantial. By adopting Zhai’s strategy, utilities could see significant reductions in network losses, leading to cost savings and improved service quality. Moreover, the enhanced stability of the power system could mitigate the risks associated with integrating distributed energy resources, making it easier for companies to invest in renewable energy projects.

Zhai’s work is a testament to the ongoing innovation in the field of power systems. As we move towards a future where distributed energy resources play a central role, strategies like Zhai’s will be crucial in ensuring that our power grids remain stable, efficient, and reliable. The research not only addresses current challenges but also lays the groundwork for future developments, shaping the trajectory of the energy sector for years to come.

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