Optimal Charge/Discharge Scheduling of Battery Storage Interconnected With Residential PV System

被引:16
|
作者
Kapoor, Aastha [1 ]
Sharma, Ankush [1 ]
机构
[1] Indian Inst Technol Kanpur, Elect Engn Dept, Kanpur 208016, Uttar Pradesh, India
来源
IEEE SYSTEMS JOURNAL | 2020年 / 14卷 / 03期
关键词
Batteries; Meteorology; Optimization; Tariffs; Schedules; Genetic algorithms; Computational modeling; Battery storage; genetic algorithm; interior point optimization; random forest; short-term load forecasting; solar photovoltaic (PV); ENERGY MANAGEMENT; SOLAR; GRIDS;
D O I
10.1109/JSYST.2019.2959205
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article proposes an optimal charging and discharging schedule for a hybrid photovoltaic-battery system connected in the premises of a residential customer. The scheduling strategy is formulated to minimize the electricity bill of the customer. The proposed scheme uses the data obtained from short-term load, weather, and solar forecasting. A time-of-use tariff scheme is considered to be implemented by the utility. The proposed method is tested on real residential load and solar generation scenario. The test results verify that the implementation of the optimal battery scheduling algorithm can significantly increase the net saving in the electricity bill of the customer.
引用
收藏
页码:3825 / 3835
页数:11
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