In an era where renewable energy sources are rapidly proliferating, a groundbreaking study led by Wenyang Deng from the School of Automation at Guangdong University of Technology in Guangzhou, China, offers a novel approach to optimizing energy sharing across multiple regions. This innovative model, published in the International Journal of Electrical Power & Energy Systems, could revolutionize how we manage and utilize local renewable energy resources, particularly solar power.
Deng and his team have developed a multi-regional energy operator (MREO) model that leverages shared energy storage systems to maximize economic performance and local renewable energy consumption. The model employs a two-layer trading and optimization framework, akin to a master-slave game, to balance the interests of power grids, energy operators, and end-users.
At the heart of this model is a dynamic interaction between the MREO and users. “The top-layer model, managed by the MREO, focuses on energy sharing among regions,” Deng explains. “It sets flexible electricity prices based on regional demand and optimizes the use of shared energy storage.” This top-layer model ensures that energy is distributed efficiently, reducing grid load fluctuations and supporting greater local photovoltaic energy consumption.
Meanwhile, the bottom-layer model addresses user demand response. Users can modify their energy consumption patterns and choose more advantageous trading areas based on information provided by the MREO. This two-tiered approach allows for a more nuanced and responsive energy management system, benefiting all stakeholders.
The simulation results of Deng’s model are promising. The proposed approach accurately evaluates each party’s income, iteratively balances their interests, and increases economic returns for both users and the MREO. This model could lead to a more efficient and economically viable energy landscape, where local renewable energy resources are fully utilized, and grid stability is enhanced.
The implications of this research are far-reaching. As renewable energy sources become more prevalent, the need for efficient energy sharing and storage solutions will only grow. Deng’s model provides a blueprint for how this can be achieved, offering a pathway to a more sustainable and economically robust energy future.
For the energy sector, this research opens up new avenues for commercial impact. Energy operators can use this model to optimize their operations, reduce costs, and increase revenue. End-users, too, stand to benefit from more flexible and responsive energy pricing, leading to potential cost savings and a more reliable energy supply.
As we look to the future, Deng’s work could shape the development of energy sharing and storage systems worldwide. By providing a framework that balances the interests of all stakeholders, this model could pave the way for a more integrated and efficient energy landscape. The research, published in the International Journal of Electrical Power & Energy Systems, translated to English as the International Journal of Electric Power & Energy Systems, is a significant step forward in the quest for sustainable and economically viable energy solutions.
