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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19305

FREQUENCY CONTROL TECHNIQUES FOR ELECTRICAL POWER NETWORKS WITH HIGH WIND ENERGY GENERATION EMPLOYING FUZZY LOGIC CONTROLLERS

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19305

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SC

SARAGADAM CHANDU

MMT

MUTTA MURALI TARUN

RC

RONGALI CHANDU

PKK

PURIA KIRAN KUMAR

MP

MURARI PAKKI

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Abstract

– In electrical power systems, increasing amounts of wind energy penetration present new operational issues. Maintaining the generation-demand balance is one of these issues in order to keep the system frequency within reasonable limits. Utilizing systems for demand side response, which are an addition to the conventional generation side power-frequency regulation, is one way to address this problem. The effects of responsive electric vehicle (EV) charging procedures on reducing the impact of fluctuating wind power generation on frequency stability is discussed in this research. To do this, a model of a hybrid electrical power system located on an island is used to study the frequency response to various wind conditions and EV charging procedures and Fuzzy Logic Controller is used for the Better Frequency response and Faster settling time. The findings demonstrate that even a small portion of the total demand participating in frequency control can have a big influence.

KEYWORDS

Electric vehicles demand response (DR) vehicle to grid (V2G) decentralized control primary frequency control Fuzzy Logic Controller.

Cite This Article

SARAGADAM CHANDU, MUTTA MURALI TARUN, RONGALI CHANDU, PURIA KIRAN KUMAR, MURARI PAKKI, "FREQUENCY CONTROL TECHNIQUES FOR ELECTRICAL POWER NETWORKS WITH HIGH WIND ENERGY GENERATION EMPLOYING FUZZY LOGIC CONTROLLERS," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19305

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Publication Date

4/21/2023

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Double-Blind Peer Review

Review Rounds: 2

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