Electronic Load Controller based on Modified Firefly Algorithm to Reduce Frequency Fluctuation of Generator in Micro Hydro Power Plants

NUR IKSAN, Muhammad Ubaid Firdaus, Subiyanto Subiyanto, Esa Apriaskar, Anan Nugroho, Erika Devi Udayanti, Djoko Adi Widodo

Abstract


Modified Firefly Algorithm (MFA) is a model of particle swarm intelligence which adopts the behavior of fireflies, in the form of mutual attraction to a light intensity between one firefly and another. By using this method, the PID tuning approach is carried out so that it will get the PID parameter value on the Electronic Load Controller (ELC) system. In the MFA tuning process, it is repeated up to 100 iterations to achieve optimal or near-optimal PID parameters. The main objective is to improve the response characteristics of using ELC in Micro Hydro Power Plants (MHP). After tuning the PID parameter, it will be applied to the ELC so that the ELC can work more optimally when switching power. This will make the generator rotational speed more stable and the frequency value remains within the applicable standards in Indonesia, namely 47.5 – 51.5 Hz. The results of applying the PID FA parameter into the microcontroller can maintain the frequency value when there is a change in the use of generator output power, namely in the interval of 50.1 Hz - 51.5 Hz. In addition, the resulting voltage becomes more stable, namely in the interval of 223.6 – 222.2 Volts. These results when compared with testing generators without using ELC MFA are very different. Where the resulting frequency is in the 51.5 – 46.7 Hz interval and the voltage value is in the 244.5 – 214.2 Volt interval.

Keywords


Electronic Load Controller (ELC), Frequency Fluctuation, Modified Firefly Algorithm

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v13i2.13570.g8729

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