In a groundbreaking study published in ‘电力工程技术’ (Electrical Engineering Technology), researchers from Shandong University of Technology have unveiled a transformative approach to optimizing energy resources through the integration of combined heat and power (CHP) units and virtual power plants (VPP). This innovative method not only enhances energy efficiency but also positions the energy sector to better navigate the complexities of a low-carbon future.
The research, led by SUN Chenye, focuses on creating an integrated energy VPP that amalgamates various energy sources, including wind power, photovoltaics, and advanced carbon capture technologies. By doing so, it aims to maximize the overall revenue generated from multiple markets—electricity, heat, spinning reserves, and carbon trading—while ensuring a flexible and economically viable operation. SUN emphasizes the significance of this approach, stating, “Our model takes into account the unpredictable nature of renewable energy outputs and market dynamics, ensuring that energy providers can remain resilient and profitable in an increasingly volatile market.”
At the core of this study is a two-stage robust optimization scheduling model designed to tackle the inherent uncertainties in energy production and consumption. By employing the Monte Carlo method for scenario reduction, the researchers have effectively minimized risks associated with fluctuating market prices and energy loads. This rigorous analytical framework allows for the development of a scheduling strategy that not only optimizes the operation of electricity and heat resources but also supports the transition to a low-carbon economy.
The implications of this research extend beyond theoretical frameworks. By dynamically adjusting carbon capture equipment and energy storage systems, the integrated VPP can significantly reduce carbon emissions, addressing one of the pressing challenges faced by the energy sector today. This capability not only aligns with global sustainability goals but also enhances the commercial viability of energy providers. As SUN notes, “The ability to coordinate and optimize resources at the source-load-storage level not only boosts flexibility but also drives down operational costs, making low-carbon solutions more accessible and attractive for energy companies.”
As the global energy landscape continues to evolve, this research sets a precedent for future developments in energy optimization strategies. The integration of diverse energy resources and advanced scheduling methods could very well redefine how energy is produced, consumed, and traded. The findings from this study represent a significant step towards a more resilient and sustainable energy sector, paving the way for innovations that prioritize both economic performance and environmental responsibility.
For more information about the research, you can visit the School of Electrical and Electronic Engineering at Shandong University of Technology.