Parallel MPPT for PV based residential DC Nanogrid

Mujumdar, Uday B.; Tutkane, D.R.

doi:10.1109/iic.2015.7150958

Cited by 9 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The wind speed is variable just like in the real-life case. The three-phase Permanent Magnet Synchronous Machine (PMSG) is connected to a wind turbine [22]. In the next stage, the generation of a wind turbine is rectified into DC.…”

Section: ) Wind Turbinementioning

confidence: 99%

Simulation, Optimization, and Analysis Approach of Microgrid Systems

Ali¹

2022

Preprint

View full text Add to dashboard Cite

Sources are classified into two depending upon the factor of reviving. These sources, which cannot be revived into their original shape once they are consumed, are considered as nonrenewable energy resources, i.e., (coal, fuel) Moreover, those energy resources which are revivable to the original condition even after being consumed are known as renewable energy resources, i.e., (wind, solar, hydel) Renewable energy is a cost-effective way to generate clean and green electrical energy Now a day’s majority of the countries are paying heed to energy generation from RES Pakistan is mostly relying on conventional energy resources which are mostly nonrenewable in nature coal, fuel is one of the major resources, and with the advent of time their prices are increasing on the other hand RES have great potential in the country with the deployment of RES greater reliability and an effective power system can be obtained In this thesis, a similar concept is being used and a hybrid power system is proposed which is composed of intermixing of renewable and nonrenewable sources The Source side is composed of solar, wind, fuel cells which will be used in an optimal manner to serve load The goal is to provide an economical, reliable, uninterruptable power supply. This is achieved by optimal controller (PI, PD, PID, FOPID) Optimization techniques are applied to the controllers to achieve the desired results. Advanced algorithms (Particle swarm optimization, Flower Pollination Algorithm) will be used to extract the desired output from the controller Detailed comparison in the form of tables and results will be provided, which will highlight the efficiency of the proposed system.

show abstract

Section: ) Wind Turbinementioning

confidence: 99%

Simulation, Optimization, and Analysis Approach of Microgrid Systems

Ali¹

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The equations (15), (16), (17) and (18) calculate the minimum value of the capacitors and the output inductor of the converter. The converter switches were chosen according to the voltage and current efforts.…”

Section: Static Gainmentioning

confidence: 99%

High-Voltage Gain DC-DC Converter For Photovoltaic Applications In DC Nanogrids

Pontes¹,

Silva²,

Sá³

2020

Eletrônica de Potência

View full text Add to dashboard Cite

Photovoltaic (PV) systems used in DC Nanogrids present prominent advantages associated with low maintenance need and operation costs. Owing to the low output voltage of the PV module, highly efficient high-voltage gain DC-DC converters are required for connection with the DC nanogrid. This work presents a novel DC-DC converter topology with current source characteristic for PV applications and current injection in DC nanogrids. The introduced converter uses coupled inductors and switched capacitors to achieve high voltage gain with low component count and without using extreme duty ratios. Besides, the main switch is turned on with nearly zero current, thus contributing to minimized switching losses. The qualitative and quantitative analyzes of the circuit are presented in detail and a prototype rated at 200 W is developed and evaluated in the laboratory. Experimental results demonstrate efficient renewable energy conversion, where the maximum efficiency is 96.8%.

show abstract

“…The term low power cannot be restricted to a certain value. In [80], it is defined as a few watts to 5 kW; on the other hand, it is categorized between 10 and 100 kW by [81]. The complexity of this structure, its control strategies, and optimization techniques increase as the nanogrid research widens [82].…”

Section: International Journal Of Photoenergymentioning

confidence: 99%

Variable Load Demand Scheme for Hybrid AC/DC Nanogrid

Rauf

Kalair

Khan

2020

International Journal of Photoenergy

View full text Add to dashboard Cite

This paper addresses the use of nanogrid technology in resolving the issue of blanket load shedding for domestic consumers. This is accomplished by using different load management techniques and load classification and utilizing maximum solar energy. The inclusion of DC-based load in basic load and DC inverter load in regular load and scheduling of the burst load during the hours of maximum solar PV generation bring novelty in this work. The term “nanogrid” as a power structure remains ambiguous in various publications so far. An effort has been done in this paper to present a concise definition of nanogrid. Demand side load management is one of the key features of nanogrid, which enables end users to know major characteristics about their energy consumption during peak and off-peak hours. A microgrid option with nanogrid facility results in a more reliable system with overall improvement in efficiency and reduction in carbon emission. PV plants produce DC power; when used directly, the loss will automatically be minimized to 16%. The AC/DC hybrid nanogrid exhibits 63% more efficiency as compared to AC-only nanogrid and nearly 18% more efficiency as compared to DC-only nanogrid. Smart load shifting smoothens the demand curve 54% more adequately than during conventional load shifting. Simulation results show that real-time pricing is more economical than flat rate tariff for a house without DG, whereas flat rate results are more economical when DG are involved in nanogrids. 12.67%-21.46% saving is achieved if only flat rates are used for DG in nanogrid instead of real-time pricing.

show abstract

Parallel MPPT for PV based residential DC Nanogrid

Cited by 9 publications

References 8 publications

Simulation, Optimization, and Analysis Approach of Microgrid Systems

Simulation, Optimization, and Analysis Approach of Microgrid Systems

High-Voltage Gain DC-DC Converter For Photovoltaic Applications In DC Nanogrids

Variable Load Demand Scheme for Hybrid AC/DC Nanogrid

Contact Info

Product

Resources

About