A Two-Layer Optimal Scheduling Strategy for Rural Microgrids Accounting for Flexible Loads  

作　　者：Guo Zhao Chi Zhang Qiyuan Ren 

机构地区：[1]School of Electrical and Electronic Engineering,Hubei University of Technology,Wuhan,430068,China [2]Key Laboratory of Solar Energy Efficient Utilization and Energy Storage Operation Control,Hubei University of Technology,Wuhan,430068,China

出　　处：《Energy Engineering》2024年第11期3355-3379,共25页能源工程（英文）

摘　　要：In the context of China’s“double carbon”goals and rural revitalization strategy,the energy transition promotes the large-scale integration of distributed renewable energy into rural power grids.Considering the operational characteristics of rural microgrids and their impact on users,this paper establishes a two-layer scheduling model incorporating flexible loads.The upper-layer aims to minimize the comprehensive operating cost of the rural microgrid,while the lower-layer aims to minimize the total electricity cost for rural users.An Improved Adaptive Genetic Algorithm(IAGA)is proposed to solve the model.Results show that the two-layer scheduling model with flexible loads can effectively smooth load fluctuations,enhance microgrid stability,increase clean energy consumption,and balance microgrid operating costs with user benefits.

关 键 词：Double carbon flexible loads ruralmicrogrid clean energy consumption two-layer scheduling improved adaptive genetic algorithm 

分 类 号：TM73[电气工程—电力系统及自动化]