In the dynamic world of energy management, a groundbreaking study led by Shijie Wang from the College of Electronics and Information Engineering at Shanghai University of Electric Power, has introduced a novel approach to optimizing virtual power plants (VPPs). The research, published in ‘Zhongguo dianli’ (China Electric Power), addresses a critical challenge in the energy sector: the simultaneous achievement of maximum heating efficiency and power peak shaving demand, particularly during winter months. This is a significant hurdle for combined heat and power (CHP) units, which often struggle with insufficient power generation output regulation.
Wang and his team have developed an optimal scheduling strategy for VPPs that integrates electricity, gas, and thermal energy coupling with demand response mechanisms. This innovative approach not only enhances the downward peak shaving capacity of CHP units but also improves the overall operational flexibility of the system. “By introducing P2G equipment and carbon capture technology, we’ve constructed a new CHP coupling model that significantly boosts the system’s efficiency and environmental sustainability,” Wang explains.
The study introduces a comprehensive demand response mechanism that considers peak-valley time-of-use electricity and heat prices. This mechanism, coupled with the integration of electric and thermal energy storage devices, forms the backbone of a VPP bi-level optimization model. The model aims to minimize the total cost of the system and the operation cost of the electric and thermal energy storage devices. According to Wang, “The bi-level model is transformed into a single level and linearized for solution, ensuring that the carbon emissions, operation cost, and new energy consumption rate are optimized.”
The implications of this research are vast for the energy sector. By improving the downward peak shaving capacity of CHP units and meeting low-carbon and economic requirements, this strategy could revolutionize how energy is managed and distributed. This could lead to more efficient and sustainable energy systems, reducing operational costs and environmental impact.
The integration of P2G (Power-to-Gas) equipment and carbon capture technology is a game-changer. P2G technology converts excess electricity into gas, which can be stored and used later, while carbon capture technology reduces the carbon footprint of energy production. This dual approach not only enhances energy storage capabilities but also aligns with global efforts to mitigate climate change.
The demand response mechanism, which considers time-of-use electricity and heat prices, adds another layer of efficiency. By incentivizing consumers to shift their energy usage to off-peak hours, the system can better manage demand and reduce strain on the grid. This not only improves operational flexibility but also ensures that energy is used more efficiently, leading to cost savings for both consumers and providers.
The bi-level optimization model, which minimizes total system costs and operational costs of energy storage devices, is a testament to the study’s innovative approach. By transforming the bi-level model into a single level and linearizing it for solution, the researchers have made the optimization process more efficient and practical.
This research, published in ‘Zhongguo dianli’ (China Electric Power), sets a new standard for VPP optimization. It paves the way for future developments in the field, encouraging further exploration into the integration of renewable energy sources, advanced storage technologies, and demand response mechanisms. As the energy sector continues to evolve, this study provides a roadmap for creating more sustainable, efficient, and cost-effective energy systems.
