Overview of Maximum Power Point Tracking Methods for PV System in Micro Grid

Ko, Jae-Sub; Kim, Jong-Chan

doi:10.3390/electronics9050816

Cited by 56 publications

(36 citation statements)

References 86 publications

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“…Additionally, algorithms based on metaheuristics can optimize energy harvesting in the face of partial shading, i.e., where the P×V curve presents more than one peak of power [35,36]. Finally, important comparisons among MPPT algorithms can be verified in [6,7,37,38].…”

Section: Introductionmentioning

confidence: 99%

Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System

et al. 2021

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This paper presents a novel complete design procedure to convert a maximum power point tracking (MPPT) algorithm into a control system. The MPPT algorithm can be tuned by employing any control system design. In this paper, we adopted Bode diagrams using the criteria of module and phase as the power electronics specialists are habituated with such concepts. The MPPT control transfer functions were derived using the average state equations and small-signal analysis. The control loops were derived for power and voltage control loops. The design procedure was applied to the well-known perturb and observe (P&O) and incremental conductance (IC) algorithms, returning the P&O based on PI and IC based on PI algorithms. Such algorithms were evaluated through simulation and experimental results. Additionally, we showed that the proposed design methodology can optimize energy harvesting, allowing algorithms to have outstanding tracking factors (above 99%) and adaptability characteristics.

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Section: Introductionmentioning

confidence: 99%

Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System

et al. 2021

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“…The magnitude and complexity of the networks have made administration both complicated and costly. The technological advancement of ICT has facilitated modernizing these electricity networks, where they are known as Smart Grids (Briones et al, 2017;Ko et al, 2020). This intelligent system where ICT, sensors and intelligent control systems are integrated to make it easy to manage and monitor the process of generation, transmission, and distribution of electrical energy.…”

Section: Smart Grid Networkmentioning

confidence: 99%

Big Data analytics in Smart Grids for renewable energy networks: Systematic review of information and communication technology tools

Colmenares-Quintero

Quiroga-Parra

Rojas³

et al. 2021

Cogent Engineering

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The industrial and economic development of the industrialized countries, from the nineteenth century, has gone hand in hand with the development of electricity, the internal combustion engine, computers, the Internet, data use, and the intensive use of knowledge focused on science and the technology. Most conventional energy sources have proven to be finite and exhaustible. In turn, the different production activities of goods and services using fossil fuels and conventional energy have significantly increased the pollution of the environment, and with it, contributed to global warming. The objective of this work was to carry out a theoretical approach to data analytics and business intelligence technologies applied to smart electrical-system networks with renewable energies. For this paper, a bibliometric and bibliographic review about Big Data Analytics, ICT tools of industry 4.0 and Business intelligence was carried out in different databases available in the public domain. The results of the analysis indicate the importance of the use of data analytics and business intelligence in the management of energy

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“…Therefore, it is crucial to precisely calculate solar PV electricity production cost and compare it with alternative energy sources. In this sense, the maximum power point tracking issue is also prominent [3]. PV system can be categorised and classified based on various approaches.…”

Section: Introductionmentioning

confidence: 99%

Levelised Cost of Electricity (LCOE) of Building Integrated Photovoltaics (BIPV) in Europe, Rational Feed-In Tariffs and Subsidies

Gholami

Røstvik

2021

Energies

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Building integrated photovoltaics is one of the key technologies when it comes to electricity generation in buildings, districts or urban areas. However, the potential of building façades for the BIPV system, especially in urban areas, is often neglected. Façade-mounted building integrated photovoltaics could contribute to supply the energy demand of buildings in dense urban areas with economic feasibility where the availability of suitable rooftop areas is low. This paper deals with the levelised cost of electricity (LCOE) of building integrated photovoltaic systems (BIPV) in the capitals of all the European member state countries plus Norway and Switzerland and presents a metric to investigate a proper subsidy or incentive for BIPV systems. The results showed that the average LCOE of the BIPV system as a building envelope material for the entire outer skin of buildings in Europe is equal to 0.09 Euro per kWh if its role as the power generator is considered in the economic calculations. This value will be 0.15 Euro per kWh if the cost corresponding to its double function in the building is taken into the economic analysis (while the average electricity price is 0.18 Euro per kWh). The results indicate that the BIPV generation cost in most case studies has already reached grid parity. Furthermore, the analysis reveals that on average in Europe, the BIPV system does not need a feed-in tariff if the selling price to the grid is equal to the purchasing price from the grid. Various incentive plans based on the buying/selling price of electricity from/to the main grid together with LCOE of the BIPV systems is also investigated.

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Overview of Maximum Power Point Tracking Methods for PV System in Micro Grid

Cited by 56 publications

References 86 publications

Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System

Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System

Big Data analytics in Smart Grids for renewable energy networks: Systematic review of information and communication technology tools

Levelised Cost of Electricity (LCOE) of Building Integrated Photovoltaics (BIPV) in Europe, Rational Feed-In Tariffs and Subsidies

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