Modelling and Simulation of Standalone PV Systems with Battery-supercapacitor Hybrid Energy Storage System for a Rural Household

Chong, Lee Wai; Wong, Yee Wan; Rajkumar, R.; Isa, Dino

doi:10.1016/j.egypro.2016.12.135

Cited by 38 publications

(24 citation statements)

References 5 publications

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“…9,10 The battery's and SC's technical characteristics balance the specific power, durability, and response time. 11 For controlling the HESS, power flow is required as a control strategy, which optimizes energy sustainability and utilization to a maximum extent. 12 The main purpose of implementing the HESS is extending the life span of the battery by controlling demand of peak current and battery dynamic stress.…”

Section: Introductionmentioning

confidence: 99%

Optimal location and sizing of hybrid system by analytical crow search optimization algorithm

Pandey

Kirmani

2020

Int Trans Electr Energ Syst

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Summary This study presents a strategy for selecting an optimal location and placing the optimal photovoltaic (PV) and energy storage system. The power loss, voltage stability of the system, and also sizes of PV and storage are the major objectives, which are obtained through analytical crow search optimization (CSO) algorithm. Initially, the Newton‐Raphson load flow analysis is performed; and voltage, and losses of active and reactive power are calculated. The dynamic modelling of the proposed system time interval varies between 1 and 24 hours. The injection of active and reactive power is based on the nondispatchable PV, which can work under the optimal load flow. The major calculation of this work includes the fill factor, load, maximum power, battery, energy loss, and voltage stability. The two test systems, IEEE 33 and IEEE 69 bus systems, have been utilized for validating the performance of a proposed strategy. Finally, the proposed strategy has been compared with some different methods such as improved analytical (IA), exhaustive load flow (ELF), analytical multiobjective index (AIMO), analytical particle swarm optimization (A‐PSO), and fast IA (FIA). From the comparison results, the proposed strategy proves the efficient PV size selection for an optimal location to minimize power and voltage losses.

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Section: Introductionmentioning

confidence: 99%

Optimal location and sizing of hybrid system by analytical crow search optimization algorithm

Pandey

Kirmani

2020

Int Trans Electr Energ Syst

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“…Xiong tested a battery and supercapacitor hybrid system with a near-optimal power management strategy and the results shows an enhanced performance compared to traditional energy storage units [25]. Another batter-supercapacitor hybrid energy storage system was modelled and simulated with a PV system for a rural household [26]. The performance of the PV system was simulated under with and without the energy storage system.…”

Section: Introductionmentioning

confidence: 99%

An Experimental and Simulation Study on Optimisation of the Operation of a Distributed Power Generation System with Energy Storage—Meeting Dynamic Household Electricity Demand

Xia

et al. 2019

Energies

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There are few experimental reports combining hybrid energy storage and diesel engine generators as the power source of distributed power generation systems. In this article, a distributed power generation with energy storage system (DG-ES) which contains a diesel engine generator and an energy storage unit is set up and tested in the laboratory to satisfy the dynamic changing load. The hybrid energy storage system is composed of a lead-acid battery and a supercapacitor. The DG-ES supplied power to meet the domestic load demand successfully under different seasons. A simulation model of this system was also set up in MATLAB software used to guide to the experimental operation of this system. The simulation results has 2.69% and 2.35% error. The results of the experimental tests show the DG-ES can provide enough power to meet the dynamic loads of the selected house, especially at peak time in both winter and summer time. Computational simulation results show that the performance of DG-ES is improved by 3.61% in summer and 1.86% in winter when the system’s operations are optimised.

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“…Bu yapılan çalışmalar sonucunda, yüzen destek yapıları dikey eksenli rüzgâr türbinlerini yeterince destekleyebiliyor olsa da, bağlama sistemlerinin, özellikle dalgalı hava koşullarında dikey eksenli rüzgâr türbinleri aşırı çekme gerilimi ve sallanmaya maruz kaldığından bunları engellemek için bu yapıların yeniden tasarlanması gerektiğini göstermektedir [6,7] [11][12][13]. Yenilenebilir enerji uygulamalarında şebeke entegrasyonu alanında, batarya ve ultrakapasitör güneş enerjisi sistemleri ile kullanılan en yaygını hibrit enerji depolama sistemidir [14,15]. Hibrit enerji depolama sistemi kullanılması, gelecekte çeşitli uygulamalarda elverişli bir çözüm olabileceği düşünülmektedir.…”

Section: Gi̇ri̇ş (Introduction)unclassified

“…Hibrit enerji depolama sistemi kullanılması, gelecekte çeşitli uygulamalarda elverişli bir çözüm olabileceği düşünülmektedir. Bununla birlikte, fizibilitelerini göstermek ve işlevselliklerini geliştirmek için daha fazla araştırma ve geliştirme yapılmaktadır [16,17].…”

Section: Gi̇ri̇ş (Introduction)unclassified

Rüzgâr ve Deniz Akıntı Enerjisinin Tahrik Ettiği Güç Üretim Sisteminin İncelenmesi

Aktaş

Kırçiçek

Şener

2019

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji

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Wind and sea are renewable sources of energy with high energy potential. The sea/oceans have more than one type of energy such as wind, wave, tide, flow. The purpose of this work is to design a system that will convert multiple sources of energy into electricity. A platform with a high-potential hybrid power generation system model that utilizes wind and sea flow energy has been established. However, since the output characteristic of renewable energy sources depends on the natural conditions, it produces intermittent and unstable energy production. Hybrid energy storage units have been added to regulate the unstable output of these sources. A hybrid energy storage unit consisting of a battery and an ultracapacitor is added to the hybrid power generation system to provide a high quality and continuous energy requirement on the load. In addition, the ultracapacitor group in the hybrid energy storage unit is indicated by simulation studies that prevent the deep discharge and the voltage collapse by supporting the battery in the system under sudden load situations. In this study, all units are simulated using hybrid energy production system and hybrid energy storage system MATLAB/Simulink program. The smart energy management algorithm, which is originally written to the system, continuously calculates all the power parameters by controlling the DC/DC converter and inverter circuits. In this paper, the case where the demand load energy is higher than the energy produced by the hybrid power generation system is examined and current, voltage and power graphical results are given in detail. As a result of this investigation, it has been found that the ultracapacitor is switched on in the event of a sudden load, preventing the battery from being deep discharged.

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Modelling and Simulation of Standalone PV Systems with Battery-supercapacitor Hybrid Energy Storage System for a Rural Household

Cited by 38 publications

References 5 publications

Optimal location and sizing of hybrid system by analytical crow search optimization algorithm

Optimal location and sizing of hybrid system by analytical crow search optimization algorithm

An Experimental and Simulation Study on Optimisation of the Operation of a Distributed Power Generation System with Energy Storage—Meeting Dynamic Household Electricity Demand

Rüzgâr ve Deniz Akıntı Enerjisinin Tahrik Ettiği Güç Üretim Sisteminin İncelenmesi

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