In the dynamic world of energy management, a groundbreaking strategy has emerged to tackle the challenges of peak shaving and valley filling in power grids. This innovative approach, developed by Shuang Zeng of the State Grid Beijing Electric Power Research Institute, leverages the flexibility of electric-thermal systems (ETS) with optical storage to enhance grid stability and efficiency. The research, published in ‘Zhongguo dianli’ (China Electric Power), introduces a multi-agent system that could revolutionize how we manage energy distribution and consumption.
The strategy, as described by Zeng, involves a sophisticated multi-agent system comprising a distribution network agent, regional agents, ETS/photovoltaic (PV) agents, and execution units. This system operates on two levels: centralized energy optimization and distributed energy management. “The distribution network agent provides an intra-day active power cap scheme for the regional agents and their internal photovoltaic systems,” Zeng explains. “This is achieved by solving a model predictive control (MPC) optimization model with the goal of minimizing operating costs.”
The distributed energy management process is equally intriguing. Regional agents and ETS/PV agents work together to obtain correction values for the active power of heating equipment. This collaborative effort ensures that the actual active power of the regional agents closely aligns with its planned value, reducing deviations and enhancing overall system performance.
The implications of this research for the energy sector are profound. By integrating optical storage with ETS, the strategy not only improves peak shaving and valley filling but also mitigates the impact of load prediction errors and the volatility of new energy sources. This could lead to more stable and reliable power grids, benefiting both consumers and energy providers.
The commercial impact is equally significant. Energy companies can expect reduced operational costs and improved grid stability, which translates to better service quality and potentially lower energy prices for consumers. The multi-agent system’s ability to adapt and correct in real-time could also pave the way for more efficient energy management practices, making it a valuable tool for utilities and energy providers.
As the energy landscape continues to evolve, with an increasing reliance on renewable sources and smart grid technologies, Zeng’s research offers a glimpse into the future of energy management. The multi-agent peak shaving and valley filling strategy represents a significant step forward in optimizing energy distribution and consumption, setting a new standard for grid management and efficiency. This research, published in ‘Zhongguo dianli’ (China Electric Power), underscores the importance of innovative solutions in addressing the complex challenges of modern energy systems.