Event-Trigger-Based Distributed Optimization Approach for Two-Level Optimal Model of Isolated Power System With Switching Topology
针对间歇性能源和动态通信拓扑带来的挑战，提出一种带事件触发切换机制的双层最优控制策略，上层保障供电安全和电压稳定，下层用分布式优化最小化发电成本，仿真验证了效果。
Due to the uncertain output of intermittent energy resources and dynamic communication topology, it brings a great challenge for the optimal security control of isolated power system. To address this problem, this article proposes a two-level optimal control strategy with event-triggered switching mechanisms. For ensuring the security of the isolated power system, event-triggered switching mechanisms are proposed in the upper-level model to decrease potential risk of supply security and voltage stability, which can ensure system security as well as a low switching cost. In the lower-level model, a distributed optimization with switching topology is developed to minimize power generation cost under the above switching mechanisms, and the convergence ability of the proposed distributed optimization method is well proved with a uniformly globally exponentially stable condition. The obtained simulation results reveal that the proposed optimization approach can properly deal with the security issue of an isolated power system as well as dynamically minimize the economic cost.