Optimal integration of solar home systems and appliance scheduling for residential homes under severe national load shedding  

作　　者：Sakhile Twala Xianming Ye Xiaohua Xia Lijun Zhang 

机构地区：[1]Department of Electrical,Electronic and Computer Engineering,University of Pretoria,Pretoria 0002,South Africa [2]School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China

出　　处：《Journal of Automation and Intelligence》2023年第4期227-238,共12页自动化与人工智能（英文）

基　　金：supported by National Key R&D Program of China(Grant No.2021YFE0199000);National Natural Science Foundation of China(Grant No.62133015);National Research Foundation China/South Africa Research Cooperation Programme with Grant No.148762;Royal Academy of Engineering Transforming Systems through Partnership grant scheme with reference No.TSP2021\100016.

摘　　要：In developing countries like South Africa,users experienced more than 1030 hours of load shedding outages in just the first half of 2023 due to inadequate power supply from the national grid.Residential homes that cannot afford to take actions to mitigate the challenges of load shedding are severely inconvenienced as they have to reschedule their demand involuntarily.This study presents optimal strategies to guide households in determining suitable scheduling and sizing solutions for solar home systems to mitigate the inconvenience experienced by residents due to load shedding.To start with,we predict the load shedding stages that are used as input for the optimal strategies by using the K-Nearest Neighbour(KNN)algorithm.Based on an accurate forecast of the future load shedding patterns,we formulate the residents’inconvenience and the loss of power supply probability during load shedding as the objective function.When solving the multi-objective optimisation problem,four different strategies to fight against load shedding are identified,namely(1)optimal home appliance scheduling(HAS)under load shedding;(2)optimal HAS supported by solar panels;(3)optimal HAS supported by batteries,and(4)optimal HAS supported by the solar home system with both solar panels and batteries.Among these strategies,appliance scheduling with an optimally sized 9.6 kWh battery and a 2.74 kWp panel array of five 550 Wp panels,eliminates the loss of power supply probability and reduces the inconvenience by 92%when tested under the South African load shedding cases in 2023.

关 键 词：Load shedding Inconvenience Optimal scheduling and sizing strategies K-Nearest Neighbour(KNN) Multi-objective mixed integer nonlinear optimisation 

分 类 号：TM71[电气工程—电力系统及自动化] TM914.4