A groundbreaking study published in the journal ‘Energies’ explores the integration of green power trading into the operation of park microgrids in China, a move that could significantly reshape the energy landscape. The research, led by Xiqin Li from the State Grid Beijing Mentougou Power Supply Co., Ltd., addresses the dual-carbon objectives driving China’s energy policies and highlights the need for innovative strategies to optimize energy consumption and reduce carbon emissions in industrial parks.
With the increasing penetration of renewable energy sources in China’s power system, the study emphasizes that green energy is set to replace traditional thermal power as a primary energy supply. “Promoting the participation of park entities in green power trading is critical for reducing emissions and optimizing energy utilization,” Li stated. The research identifies existing gaps in the market, particularly the lack of dynamic pricing strategies for green power trading and the insufficient consideration of carbon emissions in operational optimization models.
The study introduces a multi-objective optimization model that synergizes the interactions between medium- and long-term green power trading and spot markets. By employing a Bayesian fuzzy learning method, the model predicts green power trading prices through a game-theory framework that simulates the bargaining process between energy providers and park operators. This approach not only enhances price prediction accuracy but also aids park microgrid operators in formulating more effective power purchase strategies.
Li elaborated on the implications of the research, stating, “Our model not only aims to reduce power purchase costs but also promotes the green transformation of industrial parks.” The findings suggest that adopting this model can lead to optimized power consumption structures, ultimately driving down operational costs while supporting environmental sustainability.
As China continues to push for a low-carbon economy, this research could pave the way for more robust green power trading markets. The integration of carbon emission metrics within the optimization model signifies a shift towards holistic energy management practices that balance economic viability with environmental responsibility.
The potential commercial impacts are substantial, as park microgrid operators can leverage these strategies to enhance their competitiveness in a rapidly evolving energy market. By aligning their operations with the principles of green power trading, businesses can not only meet regulatory requirements but also attract eco-conscious consumers and investors.
This innovative approach to energy management in industrial parks represents a significant step forward in the quest for sustainable energy solutions. As the energy sector continues to evolve, the insights from this research will likely inspire further developments in green power trading and microgrid optimization.
For more information on this research, you can visit the State Grid Beijing Mentougou Power Supply Co., Ltd. at lead_author_affiliation.
