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
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;
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
DOI :
10.1109/IJCNN.2014.6889670
