TELKOMNIKA Telecommunication, Computing, Electronics and Control
Maximum power point tracking control for wind turbines with battery storage system

Dublin Core

Title

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Maximum power point tracking control for wind turbines with battery storage system

Subject

Battery storage
Cost function
Fuzzy logic
Model predictive
Perturb and observing

Description

In wind energy conversation systems (WECS), power quality and energy
conversion efficiency are crucial aims of control algorithms. These two points
are self-contradictory and difficult to trade off where enhancing the efficiency
of conversion may also enhance instability of output signal as well. In current
work, we submit a wind turbines control scheme to ensure regular power and
achieve variable load requests in battery based variable speed PMGS system.
In the submitted scheme, model predictive control (MPC) is joint with fuzzy
logic to achieve the advantages of these two diverse approaches. The suggested
controller could enhance the power reliability performance of the wind turbine.
According to obtained results, the proposed topology overcomes the
traditional proportional/integral (PI) model by achieving profits in the context
of step-overshoot response and the measure of total harmonic-distortion of
nearly 1.1 percent and 1.13 percent, respectively.

Creator

Ismail Sh. B. Hburi, Hasan Fahad Al Kazaali, Oguz BAYAT, Nibras Hazim Abbas Sarray Atab

Source

http://journal.uad.ac.id/index.php/TELKOMNIKA

Date

Sep 30, 2020

Contributor

peri irawan

Format

pdf

Language

english

Type

text

Files

Collection

Tags

,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon ,

Citation

Ismail Sh. B. Hburi, Hasan Fahad Al Kazaali, Oguz BAYAT, Nibras Hazim Abbas Sarray Atab, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Maximum power point tracking control for wind turbines with battery storage system,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/3666.