In the rapidly evolving landscape of energy markets, a groundbreaking study from Kunming University of Science and Technology is set to revolutionize how regional power grids manage electricity and carbon trading. Led by Yonglin Tian, a professor at the Faculty of Electric Power Engineering, the research introduces an optimal scheduling strategy that could significantly enhance the flexibility and efficiency of regional power grids, particularly those integrating new energy sources.
The study, published in the journal ‘电力工程技术’ (translated to English as ‘Power Engineering Technology’), addresses critical challenges faced by regional power grids, such as insufficient consumption capacity and difficulties in peak shaving. Tian and his team propose a novel approach that combines electricity and carbon trading mechanisms to create a more adaptable and efficient system.
At the heart of this innovation is the concept of electricity-carbon joint multilateral trading. “By integrating carbon trading with power generation rights trading, we can construct a more flexible trading model that benefits all parties involved,” Tian explains. This model not only improves the flexibility of multilateral trading within regional power grids but also ensures that the benefits are fairly distributed among participants.
One of the key challenges in integrating new energy sources, such as wind power, is their inherent volatility. To address this, the researchers adopted a demand method for wind power flexibility adjustment. This method considers the curtailment of wind power and the time periods of day-ahead dispatching, creating a multi-agent peer-to-peer trading model. “The goal is to maximize the benefits for the regional power grid alliance while ensuring that each participant gets a fair share,” Tian adds.
The model is designed to be robust and secure, using the alternating direction method of multipliers for interactive decoupling. This ensures the privacy and security of each subject involved in the trading process. Additionally, the study employs an asymmetric bargaining method to quantify the contribution of each participant, ensuring a fair distribution of benefits within the alliance.
The implications of this research are far-reaching. By promoting the consumption of new energy and improving the collaborative scheduling of flexible resources, this approach can lead to significant energy savings and emission reductions. “This method can help regional power grids achieve a more sustainable and efficient operation, ultimately contributing to a greener energy future,” Tian notes.
The study’s findings were validated through several different scenarios, demonstrating the low carbon and economic benefits of the proposed method. As the energy sector continues to evolve, this research could pave the way for more innovative and sustainable practices in electricity and carbon trading.
For energy professionals, this development represents a significant step forward in optimizing regional power grid operations. By adopting these strategies, energy companies can enhance their flexibility, improve resource management, and contribute to a more sustainable energy landscape. As the world moves towards a greener future, the insights from this research could play a crucial role in shaping the future of the energy sector.