Modeling and Control of Micro-grid Powered by Solar and Wind Energies

Zenned, Sameh; Aridhi, Emna; Mami, Abdelkader

doi:10.11591/ijpeds.v8.i1.pp402-416

Cited by 2 publications

(3 citation statements)

References 15 publications

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“…Upper and lower bound of the number of PV-WT and BES c. The energy output of PV and wind turbine are calculated through the PV and wind models by using (1)(2)(3). The model of energy storage battery by using (4) with the total capacity (CB) is allowed to charge and discharge up to a limit defined by the maximum depth of discharge (DOD), by using (5,6) and Figure 1. d. Constants :…”

Section: Optimal Configuration Based On Mopso Algorithmmentioning

confidence: 99%

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NSGA-II and MOPSO based optimization for sizing of hybrid PV/wind/battery energy storage system

Hlal¹,

Ramachandaramurthya²,

Padmanaban³

et al. 2019

IJPEDS

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<span lang="MS">This paper presents a Stand-alone Hybrid Renewable Energy System (SHRES) as an alternative to fossil fuel based generators. The Photovoltaic (PV) panels and wind turbines (WT) are designed for the Malaysian low wind speed conditions with battery Energy Storage (BES) to provide electric power to the load. The appropriate sizing of each component was accomplished using Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) techniques. The optimized hybrid system was examined in MATLAB using two case studies to find the optimum number of PV panels, wind turbines system and BES that minimizes the Loss of Power Supply Probability (LPSP) and Cost of Energy (COE). The hybrid power system was connected to the AC bus to investigate the system performance in supplying a rural settlement. Real weather data at the location of interest was utilized in this paper. The results obtained from the two scenarios were used to compare the suitability of the NSGA-II and MOPSO methods. The NSGA-II method is shown to be more accurate whereas the MOPSO method is faster in executing the optimization. Hence, both these methods can be used for techno-economic optimization of SHRES. </span>

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Section: Optimal Configuration Based On Mopso Algorithmmentioning

confidence: 99%

“…This problem can practically be overcome by using battery energy storage system [4]. They design and optimization methods are important aspects for SHRES to guarantee supply reliability and security, and also to ensure maximum utilization of PV panels, wind turbines and battery energy storage, based on the load profile [5], [6].…”

Section: Introductionmentioning

confidence: 99%

NSGA-II and MOPSO based optimization for sizing of hybrid PV/wind/battery energy storage system

Hlal¹,

Ramachandaramurthya²,

Padmanaban³

et al. 2019

IJPEDS

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“…The proposed hybrid power conversion system consists a three-phase uncontrolled diode rectifier, a TLBC and a three-phase inverter powered by photovoltic and wind source is shown in Figure 1 [15][16]. The aim of this section is to give a mathematical model of the various power converters, the model of the PV and the PMSG generators as well as the mechanical part of the wind system.…”

Section: Hybrid Pv/wind System Modelingmentioning

confidence: 99%

Modelling and Control Design for Energy Management of Grid Connected Hybrid PV-wind System

Abouobaida

Bied

2018

IJAPE

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<p class="MsoNormal" style="margin-right: -14.15pt; text-align: justify; text-justify: inter-ideograph;">This paper deals with the control of hybrid PV-WIND power conversion structure. This paper develops a very important contribution which is the use of a single DC to DC converter, linearization of control of the three- level boost converter (TLBC) considering the imperfections of the passive components. The (TLBC) control provides balancing of capacitor voltages and maximum power operation of PV generator. For reasons of simplicity, a linearization based on the dynamic compensation of the disturbance is proposed. A sensorless maximum power point tracking (MPPT) algorithm is used to maximize a power extracted of the wind generator. The proportional relation between the rotational speed and the output voltage of the rectifier allows to use a voltage sensor to estimate the DC bus voltage reference instead of a mechanical speed sensor. The control of the three-phase inverter allows a transfer of the active power, the power factor close to the unit and thus a limitation of the reactive power injected into the grid. The external control loop performs the regulation of the common DC bus voltage while the internal control loop regulates the dq components of the currents injected into the grid. The simulation results showed the validity of the control approach. The proposed power conversion structure based on a single static converter has shown very good performance in terms of efficiency, the quality of the energy produced, complementarity between the two renewable sources and reliability. The paper ends with conclusions.</p>

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Modeling and Control of Micro-grid Powered by Solar and Wind Energies

Cited by 2 publications

References 15 publications

NSGA-II and MOPSO based optimization for sizing of hybrid PV/wind/battery energy storage system

NSGA-II and MOPSO based optimization for sizing of hybrid PV/wind/battery energy storage system

Modelling and Control Design for Energy Management of Grid Connected Hybrid PV-wind System

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