Cite this DOI

Nemani Anil (2019). Adaptive Neural Fuzzy Inference System (ANFIS)Based Adaptive Sliding Mode Control of a Standalone Single-Phase Microgrid. *Journal of Science & Technology*, *04*(04), 09–18. https://doi.org/10.46243/jstj.2019.v4.i4.106

@article{nemanianil2019adaptive,
  author    = {Nemani Anil},
  title     = {{Adaptive Neural Fuzzy Inference System (ANFIS)Based Adaptive Sliding Mode Control of a Standalone Single-Phase Microgrid}},
  journal   = {Journal of Science \& Technology},
  year      = {2019},
  month     = {jul},
  volume    = {04},
  number    = {04},
  pages     = {09--18},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jstj.2019.v4.i4.106},
  url       = {https://doi.org/10.46243/jstj.2019.v4.i4.106},
  language  = {en},
  abstract  = {microgrid system. The proposed microgrid system integrates a micro-hydro turbine driven single-phase two winding self- excited induction generator (SEIG) with a wind driven permanent magnet brushless DC (PMBLDC) generator, solar photo- voltaic (PV) array and a battery energy storage system (BESS). These renewable energy sources are integrated using a single-phase voltage source converter (VSC). The ASMC based control algorithm is used to estimate the reference source current which controls the single-phase VSC and regulates the voltage and frequency of the microgrid in addition to harmonics current mitigation. The adaptive sliding mode control with ANFIS is used to maintain the energy balance among wind, micro-hydro, solar PV power and BESS, which controls the frequency of standalone microgrid. Simulation results from MATLAB/SIMULINK of the proposed microgrid shows that the grid voltage and frequency are maintained constant while the system is following various changes in dynamic state such as sudden change in wind speed, changes in solar insolation level and changes in loads.}
}

TY  - JOUR
TI  - Adaptive Neural Fuzzy Inference System (ANFIS)Based Adaptive Sliding Mode Control of a Standalone Single-Phase Microgrid
AU  - Nemani Anil
JO  - Journal of Science & Technology
PY  - 2019
DA  - 2019/07/15/
VL  - 04
IS  - 04
SP  - 09
EP  - 18
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - microgrid system. The proposed microgrid system integrates a micro-hydro turbine driven single-phase two winding self- excited induction generator (SEIG) with a wind driven permanent magnet brushless DC (PMBLDC) generator, solar photo- voltaic (PV) array and a battery energy storage system (BESS). These renewable energy sources are integrated using a single-phase voltage source converter (VSC). The ASMC based control algorithm is used to estimate the reference source current which controls the single-phase VSC and regulates the voltage and frequency of the microgrid in addition to harmonics current mitigation. The adaptive sliding mode control with ANFIS is used to maintain the energy balance among wind, micro-hydro, solar PV power and BESS, which controls the frequency of standalone microgrid. Simulation results from MATLAB/SIMULINK of the proposed microgrid shows that the grid voltage and frequency are maintained constant while the system is following various changes in dynamic state such as sudden change in wind speed, changes in solar insolation level and changes in loads.
DO  - 10.46243/jstj.2019.v4.i4.106
UR  - https://doi.org/10.46243/jstj.2019.v4.i4.106
ER  -

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    "type": "article-journal",
    "id": "10.46243/jstj.2019.v4.i4.106",
    "DOI": "10.46243/jstj.2019.v4.i4.106",
    "URL": "https://doi.org/10.46243/jstj.2019.v4.i4.106",
    "title": "Adaptive Neural Fuzzy Inference System (ANFIS)Based Adaptive Sliding Mode Control of a Standalone Single-Phase Microgrid",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Nemani Anil"
        }
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        "date-parts": [
            [
                2019,
                7,
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    "volume": "04",
    "issue": "04",
    "page": "09-18",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "microgrid system. The proposed microgrid system integrates a micro-hydro turbine driven single-phase two winding self- excited induction generator (SEIG) with a wind driven permanent magnet brushless DC (PMBLDC) generator, solar photo- voltaic (PV) array and a battery energy storage system (BESS). These renewable energy sources are integrated using a single-phase voltage source converter (VSC). The ASMC based control algorithm is used to estimate the reference source current which controls the single-phase VSC and regulates the voltage and frequency of the microgrid in addition to harmonics current mitigation. The adaptive sliding mode control with ANFIS is used to maintain the energy balance among wind, micro-hydro, solar PV power and BESS, which controls the frequency of standalone microgrid. Simulation results from MATLAB/SIMULINK of the proposed microgrid shows that the grid voltage and frequency are maintained constant while the system is following various changes in dynamic state such as sudden change in wind speed, changes in solar insolation level and changes in loads.",
    "ISSN": "2456-5660"
}

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjstj.2019.v4.i4.106 gives all four in one JSON answer.