A Receding Predictive Horizon Approach to the Periodic Optimization of Community Batery Energy Storage Systems
Access Status
Authors
Date
2012Type
Metadata
Show full item recordCitation
Source Title
Source Conference
ISBN
School
Remarks
Copyright © 2012 IEEE. Personal use of this material is permitted. Permission from IEEEmust be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Collection
Abstract
Community scale battery energy storage systems can improve the utilization of network assets and increase the uptake of intermittent renewable energy sources. This paper presents an efficient algorithm for optimizing the cyclic diurnal operation of battery storages in a low voltage distribution network with a high penetration of PV generation. A predictive control solution is presented that uses neural networks to predict the load and PV generation at hourly intervals for twelve hours into the future. The load and generation forecast, and the previous twelve hours of load and generation history, is used to assemble a 24 hour load profile. A diurnal charge profile can be compactly represented by a vector of Fourier coefficients allowing a direct search optimization algorithm to be applied. The optimal profile is updated hourly allowing the state of charge profile to respond to changing future forecasts in load and PV generation.
Related items
Showing items related by title, author, creator and subject.
-
Pezeshki, H.; Wolfs, Peter; Ledwich, G. (2014)© 2014 IEEE. This paper presents an efficient algorithm for optimizing the operation of battery storage in a low voltage distribution network with a high penetration of PV generation. A predictive control solution is ...
-
Spanoghe, Patrick T. (1996)The western rock lobster (WRL), Panulirus cygnus is a decapod crustacean which is found in abundance in the coastal waters of Western Australia and which supports a major fishery of economic importance for the State, with ...
-
Pashajavid, Ehsan; Golkar, M. (2014)© Springer India 2014. A copula-based stochastic approach is proposed to derive the load demand of a fleet of domestic commuter plug-in electric vehicles (PEVs). Employing a copula, a multivariate distribution can be ...