In a significant advancement for the energy sector, researchers have unveiled a robust optimal scheduling strategy aimed at enhancing the participation of virtual power plants (VPPs) in electric energy and demand response markets. Led by WANG Yushen from the School of Electric Power Engineering at South China University of Technology, this innovative approach addresses the inherent uncertainties associated with renewable energy outputs, such as wind and solar, as well as fluctuating load demands.
The research, published in the journal ‘发电技术’ (translated to ‘Power Generation Technology’), introduces a polyhedral uncertainty set based on conditional value at risk (CVaR). This model allows VPPs to better manage the unpredictability of renewable energy sources, which has been a persistent challenge in optimizing their economic benefits. “By utilizing historical data effectively, our strategy reduces the conservativeness often associated with robust optimization,” WANG stated. This shift not only streamlines scheduling but also translates into tangible financial savings.
The study established a day-ahead two-stage robust optimization model, which was rigorously tested using a column-and-constraint generation (C&CG) algorithm paired with Lagrangian dual theory. The results are promising; the proposed strategy demonstrated an approximate 2% reduction in total costs for VPPs compared to traditional methods. This reduction is particularly noteworthy as it underscores the potential for VPPs to enhance their competitiveness in increasingly complex energy markets.
The implications of this research are far-reaching. As the energy landscape evolves with a growing emphasis on renewable sources, the ability to effectively manage uncertainties will be critical for VPPs looking to capitalize on market opportunities. “This research not only enhances the economic viability of VPPs but also supports the broader transition towards sustainable energy systems,” WANG emphasized, hinting at a future where VPPs can play a pivotal role in grid stability and energy security.
As the energy sector continues to grapple with the challenges posed by renewable integration, this robust scheduling strategy could serve as a blueprint for future innovations. By refining how VPPs operate within electric energy and demand response markets, the findings may catalyze a more resilient and economically efficient energy system. For more information on this groundbreaking research, visit School of Electric Power Engineering, South China University of Technology.
