DocumentCode
1797892
Title
Residential energy system control and management using a Hill-climbing heuristic method
Author
Roth, Luiz Carlos B. ; Kaszkurewicz, Eugenius ; Bhaya, Amit
Author_Institution
Autom. & Control Eng, Univ. Fed. do Rio de Janeiro, Rio de Janeiro, Brazil
fYear
2014
fDate
6-11 July 2014
Firstpage
927
Lastpage
933
Abstract
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.
Keywords
energy management systems; optimal control; optimisation; power grids; power system control; power system economics; battery energy storage; electricity cost minimization; hill-climbing heuristic method; optimal controller; power grids; residential energy system control; residential energy system management; Batteries; Electricity; Optimal control; Power grids; Pricing; Real-time systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6627-1
Type
conf
DOI
10.1109/IJCNN.2014.6889670
Filename
6889670
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