In a significant advancement for the energy sector, researchers have unveiled a new power allocation optimization strategy designed for multiple virtual power plants (VPPs) that harness diversified distributed flexibility resources. This innovative approach addresses critical challenges faced by distribution networks, such as insufficient adjustable capacity from energy storage systems and the complexities of power allocation that can lead to voltage overruns.
Zejian Qiu, a lead researcher from the Guangdong Power Grid Corp Dongguan Power Supply Bureau in China, emphasizes the importance of this development, stating, “Our strategy not only enhances the operational efficiency of virtual power plants but also ensures that they can interact autonomously and collaboratively, maximizing their potential.” The proposed method utilizes a granular K-medoids clustering algorithm to effectively divide the virtual power plants, allowing for improved coordination among them.
One of the standout features of this research is the aggregation approach for regulating the feasible domains of flexibility resources, which employs improved zonotope approximations. This technique quantifies the operational and regulatory capacities of distributed electricity-hydrogen virtual power plants (EHVPPs), enabling them to respond dynamically to power demands. Furthermore, the introduction of a power allocation strategy based on flexibility weight factors helps minimize the deviation between the total active output of solar photovoltaic (PV) systems and the dispatching power commands, ensuring consistency across distributed EHVPPs.
The implications of this research extend beyond technical enhancements; they promise substantial commercial benefits as well. By optimizing power allocation, utility companies can better manage resources, reduce operational costs, and improve service reliability. This could lead to lower energy prices for consumers and a more resilient grid capable of integrating renewable energy sources more effectively.
The findings have been validated through comparative studies, showcasing the method’s superior economic merits and efficiency in maintaining self-consistency among the distributed power plants. As Qiu notes, “The potential for economic improvement and operational reliability can set a new benchmark for virtual power plants globally.”
This groundbreaking work was published in ‘IET Renewable Power Generation’—a journal dedicated to advancements in renewable energy technologies. As the energy sector continues to evolve, strategies like these may very well shape the future of power generation and consumption, paving the way for a more sustainable and economically viable energy landscape. For more information about the lead author’s work, visit Guangdong Power Grid Corp Dongguan Power Supply Bureau.
