Residential Energy System Control and Management Using a Hill-Climbing Heuristic Method

被引：0
|
作者：
Roth, Luiz Carlos B. [1 ]
Kaszkurewicz, Eugenius [2 ,3 ]
Bhaya, Amit [2 ,3 ]
机构：
[1] Univ Fed Rio de Janeiro, Automat & Control Engn, Rio De Janeiro, Brazil
[2] Univ Fed Rio de Janeiro, Dept Elect Engn, Rio De Janeiro, Brazil
[3] Univ Fed Rio de Janeiro, NACAD, COPPE UFRJ, Rio De Janeiro, Brazil
来源：
PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2014年
关键词：
BATTERY;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a Hill-climbing technique applied to a residential energy system control and management, based on battery energy storage connected to power grids. The main focus is to develop an optimal controller that is both easy to implement and capable of minimizing the electricity cost for residential customers. Simulation results corroborate the advantages of the proposed method.
引用
收藏
页码：927 / 933
页数：7
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