Chen Yi, Hayawi Kadhim, Fan Meikai, Chang Shih Yu, Tang Jie, Yang Ling, Zhao Rui, Mao Zhongqi, Wen Hong
College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China.
School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China.
Sensors (Basel). 2022 Oct 11;22(20):7710. doi: 10.3390/s22207710.
With the continuous progress of renewable energy technology and the large-scale construction of microgrids, the architecture of power systems is becoming increasingly complex and huge. In order to achieve efficient and low-delay data processing and meet the needs of smart grid users, emerging smart energy systems are often deployed at the edge of the power grid, and edge computing modules are integrated into the microgrids system, so as to realize the cost-optimal control decision of the microgrids under the condition of load balancing. Therefore, this paper presents a bilevel optimization control model, which is divided into an upper-level optimal control module and a lower-level optimal control module. The purpose of the two-layer optimization modules is to optimize the cost of the power distribution of microgrids. The function of the upper-level optimal control module is to set decision variables for the lower-level module, while the function of the lower-level module is to find the optimal solution by mathematical methods on the basis of the upper-level and then feed back the optimal solution to the upper-layer. The upper-level and lower-level modules affect system decisions together. Finally, the feasibility of the bilevel optimization model is demonstrated by experiments.
随着可再生能源技术的不断进步以及微电网的大规模建设，电力系统架构日益复杂庞大。为实现高效低延迟的数据处理并满足智能电网用户需求，新兴智能能源系统常部署在电网边缘，且将边缘计算模块集成到微电网系统中，以在负载均衡条件下实现微电网的成本最优控制决策。因此，本文提出一种双层优化控制模型，其分为上层最优控制模块和下层最优控制模块。两层优化模块的目的是优化微电网配电成本。上层最优控制模块的功能是为下层模块设置决策变量，而下层模块的功能是在上层基础上通过数学方法找到最优解，然后将最优解反馈给上层。上层和下层模块共同影响系统决策。最后，通过实验验证了双层优化模型的可行性。
