Comparison of Intelligent Methods of SOC Estimation for Battery of Photovoltaic System
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 9
Abstract
It is essential to estimate the state of charge (SOC) of lead-acid batteries to improve the stability and reliability of photovoltaic systems. In this paper, we propose SOC estimation methods for a lead-acid battery using a feed-forward neural network (FFNN) and a recurrent neural network (RNN) with a gradient descent (GD), a levenberg–marquardt (LM), and a scaled conjugate gradient (SCG). Additionally, an adaptive neuro-fuzzy inference system (ANFIS) with a hybrid method was proposed. The voltage and current are used as input data of neural networks to estimate the battery SOC. Experimental results show that the RNN with LM has the best performance for the mean squared error, but the ANFIS has the highest convergence speed.
Authors and Affiliations
Tae-Hyun Cho, Hye-Rin Hwang, Jong-Hyun Lee, In-Soo Lee
Keywords
Related Articles
- EP ID EP393725
- DOI 10.14569/IJACSA.2018.090907
- Views 74
- Downloads 0
Improved Design of an Adaptive Massive MIMO Spherical Antenna Array
Massive capacity and connectivity are the main boundaries towards standing the Internet of Everything (IoE) basis and defining modern wireless generation requirements. These needs cannot be achieved by already deployed p...
Construction of FuzzyFind Dictionary using Golay Coding Transformation for Searching Applications
searching through a large volume of data is very critical for companies, scientists, and searching engines applications due to time complexity and memory complexity. In this paper, a new technique of generating FuzzyFind...
A Performance Evaluation of Multiple Input Queued (MIQ) Switch with Iterative Weighted Slip Algorithm
Many researchers had evaluated the throughput and delay performance of virtual output queued (VOQ) packet switches using iterative weighted/un-weighted scheduling algorithms. Prof. Nick Mckeown from Stanford University h...
Framework for Disease Outbreak Notification Systems with an Optimized Federation Layer
Data that is needed to detect outbreaks of known and unknown diseases is often gathered from sources that are scattered in many geographical locations. Often these scattered data exist in a wide variety of formats, struc...
Power Analysis Attacks on ECC: A Major Security Threat
Wireless sensor networks (WSNs) are largely deployed in different sectors and applications, and Elliptic Curve Cryptography (ECC) is proven to be the most feasible PKC for WSN security. ECC is believed to provide same le...