Abstract
In this paper, we propose an online strategy for optimal energy flow control based on Lyapunov method in regional integrated energy system. First, consider the changes in specific events. e.g., basic load, electricity price, queue length of controllable load, an event triggering mechanism is established to automatically execute the scheduling signals. Without relying on a priori knowledge, Lyapunov optimization method is then used to control virtual energy queue of active load and the system stability in real time. Finally, the remaining renewable energy resources are allocated in a pre-defined priority. The theoretical deduction proves the feasibility of the Lyapunov optimization algorithm. The numerical results show that the method reduces the cost by transferring load during peak period of electricity price and effectively improves the utilization of renewable energy source.
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