A new prediction model of battery and wind-solar output in hybrid power system

In this paper short term power forecast of wind and solar power is proposed to evaluate the available output power of each production component. In this model, lead acid batteries used in proposed hybrid power system based on wind-solar power system. So, before the predicting of power output, a simp...

Full description

Saved in:
Bibliographic Details
Published in:Journal of ambient intelligence and humanized computing 2019-01, Vol.10 (1), p.77-87
Main Authors: Mirzapour, Farzaneh, Lakzaei, Mostafa, Varamini, Gohar, Teimourian, Milad, Ghadimi, Noradin
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Artificial Intelligence
Batteries
Computational Intelligence
Engineering
Evolutionary algorithms
Feature selection
Hybrid systems
Lead acid batteries
Mathematical models
Neural networks
Numerical analysis
Optimization
Original Research
Prediction models
Robotics and Automation
Simulation
Solar energy
Solar power generation
State of charge
Turbines
User Interfaces and Human Computer Interaction
Wind power
Wind turbines
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper short term power forecast of wind and solar power is proposed to evaluate the available output power of each production component. In this model, lead acid batteries used in proposed hybrid power system based on wind-solar power system. So, before the predicting of power output, a simple mathematical approach to simulate the lead–acid battery behaviors in stand-alone hybrid wind-solar power generation systems will be introduced. Then, the proposed forecast problem will be evaluated which is taken as constraint status through state of charge (SOC) of the batteries. The proposed forecast model includes a feature selection filter and hybrid forecast engine based on neural network (NN) and an intelligent evolutionary algorithm. This method not only could maintain the SOC of batteries in suitable range, but also could decrease the on-or-off switching number of wind turbines and PV modules. Effectiveness of the proposed method has been applied over real world engineering data. Obtained numerical analysis, demonstrate the validity of proposed method.
ISSN:1868-5137
1868-5145
DOI:10.1007/s12652-017-0600-7