Paper Info
Title
Energy Management in Storage-Augmented, Grid-Connected Prosumer Buildings and Neighbourhoods Using a Modified Simulated Annealing Optimization.
Abstract
This article introduces a modified simulated annealing optimization approach for automatically determining optimal energy management strategies in grid-connected, storage-augmented, photovoltaics-supplied prosumer buildings and neighborhoods based on user-specific goals. For evaluating the modified simulated annealing optimizer, a number of test scenarios in the field of energy self-consumption maximization are defined and results are compared to a gradient descent and a total state space search approach. The benchmarking against these two reference methods demonstrates that the modified simulated annealing approach is able to find significantly better solutions than the gradient descent algorithm – being equal or very close to the global optimum – with significantly less computational effort and processing time than the total state space search approach.
Year
DOI
Venue
2016
10.1016/j.cor.2015.03.002
Computers & Operations Research
Keywords
DocType
Volume
Batteries,Storage,Energy exchange,Energy management,Green buildings,Microgrids,Optimization,Photovoltaic systems,Renewable energy sources,Simulated annealing,Smart grids,Solar energy
Journal
66
Issue
ISSN
Citations 
C
0305-0548
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Rosemarie Velik1455.87
Pascal Nicolay221.68