In a significant advancement towards achieving global carbon peaking and neutrality goals, researchers have proposed a novel multi-power coordinated optimization operation strategy that could reshape the energy landscape. This innovative approach, detailed in a recent paper published in ‘发电技术’ (translated as ‘Power Generation Technology’), aims to optimize the integration of diverse energy sources, including photovoltaic systems, gas turbines, and energy storage units, into a cohesive virtual power plant (VPP).
Lead author Qian Zhonghao from the Nantong Power Supply Branch of State Grid Jiangsu Electric Power Co., LTD., emphasizes the urgency of adapting our power systems to accommodate an increasing variety of energy sources. “As we move towards a more sustainable future, the ability to efficiently coordinate multiple power sources is not just beneficial—it’s essential,” Qian states. The research introduces a bi-level optimal operation model that minimizes the overall dispatching costs of a VPP while addressing the inherent uncertainties associated with renewable energy outputs, particularly from solar power.
At the heart of this model is the application of conditional value at risk (CVaR) theory, which provides a robust framework for assessing risks tied to fluctuating photovoltaic output. This method allows for a more nuanced understanding of potential financial impacts, thereby enabling better decision-making in the face of uncertainty. The lower-level system clearing model complements this by focusing on minimizing total system costs, incorporating participation from thermal power units and diesel generators alongside the VPP.
The implications of this research extend far beyond theoretical models. By effectively coordinating multiple power sources, energy providers can significantly reduce operational costs and enhance the utilization of renewable energy. This is particularly crucial as governments and corporations worldwide strive to meet ambitious sustainability targets. “Our findings demonstrate that a coordinated approach not only lowers costs but also improves the consumption rate of renewable energy,” Qian adds.
The transformation of the bi-level model into a single-level model using the Karush-Kuhn-Tucker (KKT) conditions and strong duality theory represents a significant methodological advancement, making the optimization process more accessible and practical for real-world applications. The validation of this model through practical examples underscores its potential impact on energy markets, paving the way for smarter, more resilient energy systems.
As the energy sector continues to evolve with increasing pressure to adopt sustainable practices, this research could serve as a crucial stepping stone towards more integrated and efficient power systems. By harnessing the capabilities of virtual power plants and optimizing their operations, the industry may witness a new era of energy management that balances economic viability with environmental responsibility.
For more insights into this groundbreaking research, you can explore the work of Qian Zhonghao and his team at the Nantong Power Supply Branch of State Grid Jiangsu Electric Power Co., LTD. by visiting Nantong Power Supply Branch.
