Control of variable speed wind energy conversion systems by fuzzy logic and conventional P&amp;O

Zerouali, Mohammed; Boutouba, Mohamed; Ougli, Abdelghani El; Tidhaf, Belkassem

doi:10.1109/isacs48493.2019.9068866

Cited by 15 publications

(6 citation statements)

References 9 publications

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“…For this case of application and based on numerous tests applied before in the study by Zerouali et al (2019) and Elaissaoui et al (2020) and in our previous works, the chosen variables are related to these three signals.…”

Section: Fuzzy Logic Mppt Algorithmsmentioning

confidence: 99%

Comparative analysis of MPPT techniques for enhancing a wind energy conversion system

et al. 2022

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One of the most reliable and advanced renewable energy sources is wind energy. It is critical to harness as much wind energy as possible and maintain wind turbines operating at full capacity. Maximum power point tracking (MPPT) is a cutting-edge study that incorporates a variety of approaches. Because each MPPT technique has its own set of advantages and disadvantages, developing an accurate maximum power point tracking methodology for a certain case necessitates understanding. As a result, they must be checked thoroughly. This research tries to examine many algorithms that can be used to improve the wind energy system’s global MPPT performance. The traditional “Perturb and Observe” tool, the optimization method based on the “particle swarm optimization algorithm,” the neural network, and the “fuzzy logics” as intelligent tools are these techniques. The main objective of this research is to define and evaluate four different flexible algorithms that achieve the fundamental objective of this optimization. The advantages, drawbacks, and thorough analysis of MPPT systems are highlighted in terms of initial investment, responsiveness, and capacity to create maximum energy output. All of this comparison was made through simulation software, which is the MATLAB Simulink tool. The conclusions are supported by a comprehensive discussion and presentation of the results for a variety of situations and tests that reflect real-world behavior in any wind system.

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Section: Fuzzy Logic Mppt Algorithmsmentioning

confidence: 99%

Comparative analysis of MPPT techniques for enhancing a wind energy conversion system

et al. 2022

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“…The mathematical expression of the mechanical power generated by the WT is presented by the following equation presents: [2]…”

Section: Modeling Of a Wtmentioning

confidence: 99%

Neural Networks and Fuzzy Logic Based Maximum Power Point Tracking Control for Wind Energy Conversion System

Aissaoui¹,

Ougli²,

Tidhaf³

2021

Adv. sci. technol. eng. syst. j.

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In grid connected wind turbine (WT) systems, the maximum power point tracking (MPPT) approach has a crucial role in optimizing the wind energy efficiency. To search for the maximum power value of the wind turbine, this contribution proposes a new Maximum Power Point Tracking System (MPPT) for wind turbine related to a permanent magnet synchronous generator (PMSG)). The new proposed MPPT combines two techniques: Artificial Neural Network (ANN) and Fuzzy Logic (FL). The ANN is employed to estimate the maximum voltage of the WT, for various values of wind speed, while the control of DC-DC boost converter operation is executed by applying Fuzzy Logic technique. The comparison of our proposed algorithm to P&O technique has shown that it ensures more efficiency, and we used for that a simulation under Matlab/Simulink.

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“…Areas with an annual average wind density as high as 200 W/m 2 were examined for wind power projects. About 339 stations were selected for this category in India, with 40 sites in Maharashtra [141,142]. Most of the wind power plants in the state are highly ranked in terms of installed capacity.…”

Section: Wind Energymentioning

confidence: 99%

A Holistic Review of the Present and Future Drivers of the Renewable Energy Mix in Maharashtra, State of India

Elavarasan¹,

Selvamanohar²,

Kannadasan³

et al. 2020

Sustainability

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A strong energy mix of Renewable Energy Sources (RESs) is needed for sustainable development in the electricity sector. India stands as one of the fastest developing countries in terms of RES production. In this framework, the main objective of this review is to critically scrutinize the Maharashtra state energy landscape to discover the gaps, barriers, and challenges therein and to provide recommendations and suggestions for attaining the RES target by 2022. This work begins with a discussion about the RES trends in various developing countries. Subsequently, it scrutinizes the installed capacity of India, reporting that Maharashtra state holds a considerable stake in the Indian energy mix. A further examination of the state energy mix is carried out by comparing the current and future targets of the state action plan. It is found that the installed capacity of RESs accounts for about 22% of the state energy mix. Moreover, the current installed capacity trend is markedly different from the goals set out in the action plan of the state. Notably, the installed capacity of solar energy is four times less than the target for 2020. Importantly, meeting the targeted RES capacity for 2022 presents a great challenge to the state. Considering this, an analysis of the state’s strengths, barriers, and challenges is presented. Moreover, strong suggestions and recommendations are provided to clear the track to reach the desired destination. This can be useful for the government agencies, research community, private investors, policymakers, and stakeholders involved in building a sustainable energy system for the future.

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Control of variable speed wind energy conversion systems by fuzzy logic and conventional P&O

Cited by 15 publications

References 9 publications

Comparative analysis of MPPT techniques for enhancing a wind energy conversion system

Comparative analysis of MPPT techniques for enhancing a wind energy conversion system

Neural Networks and Fuzzy Logic Based Maximum Power Point Tracking Control for Wind Energy Conversion System

A Holistic Review of the Present and Future Drivers of the Renewable Energy Mix in Maharashtra, State of India

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