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PENGENDALIAN FREKUENSI BEBAN PADA PLTMH BERBASIS FUZZY PID TERTALA IMPERIALIST COMPETITIVE ALGORITHM

Zakaria, Rizky (2022) PENGENDALIAN FREKUENSI BEBAN PADA PLTMH BERBASIS FUZZY PID TERTALA IMPERIALIST COMPETITIVE ALGORITHM. Undergraduate (S1) thesis, Universitas Muhammadiyah Malang.

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BAB I.pdf

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Abstract

The usage of MHP is progressively being utilized for power needs in distant regions, since it has monetary, specialized, and harmless to the ecosystem benefits. PLTMH is truly reasonable for use in regions that are challenging to reach by PLN power. In MHP, the issue that frequently happens is the temperamental pivot of the generator brought about by changes in the heap from buyers. This causes changes in recurrence variances in the framework which can cause harm both from the generator side and from the customer electrical gear side. To help ideal execution of miniature hydro power plants (PLTMH), a proper control innovation configuration is required. Therefore in this study covered a frequency controller based Fuzzy PID controller to regulate Load Frequency Control (FLC). The main control of this system is PID controller while the fuzzy logic acts to reduce an overshot/undershot and a recovery time, settling time and system respond. The fuzzy logic controller is designed with two input error and delta error and one output of load power of generator. To get ideal execution, appropriate tuning for Fuzzy-PID boundaries is required. To get the ideal Fuzzy-PID boundary in this MHP, the Imperialist Competitive Algorithm (ICA) computerized reasoning strategy is utilized. The reproduction results show that the utilization of ICA to tuning the Fuzzy-PID boundary in MHP can speed up the settling season of the recurrence reaction and furthermore work on the overshoot of the framework's recurrence reaction.

Item Type: Thesis (Undergraduate (S1))
Student ID: 201710130311083
Thesis Advisors: Ermanu Azizul Hakim (0705056501), Zulfatman (0709117804)
Keywords: PLTMH, Frequency Change, Governor, Fuzzy PID, Imperialist Competitive Algorithm (ICA)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering (20201)
Depositing User: 201710130311083 zakariarizky
Date Deposited: 20 Apr 2022 02:32
Last Modified: 20 Apr 2022 02:32
URI : http://eprints.umm.ac.id/id/eprint/86459

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