Security Constraints Dynamic Optimal Power Flow Menggunakan Firefly Algorithm

Makmuria, Rosyidatul (2015) Security Constraints Dynamic Optimal Power Flow Menggunakan Firefly Algorithm. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Security Constraint Dynamic Optimal Power Flow (SCDOPF) merupakan suatu optimisasi pembebanan pembangkitan dengan beban yang bersifat dinamis yang bertujuan mencari biaya pembangkitan termurah serta menambahkan kontingensi pada saluran transmisi supaya sistem tetap dalam keadaan aman dan handal. Dalam tesis ini OPF dilakukan secara berkelanjutan dengan tiga keadaan yaitu OPF sebelum keadaan normal, OPF dengan kontingensi 1 dan OPF dengan kontingensi 2. Fungsi fitness dari ketiga keadaan OPF dijumlahkan untuk dicari nilai fitness termurah. Algoritma firefly memiliki keunggulan untuk memecahkan persoalan nonlinier, multidimensi dan tidak mudah terjebak dalam lokal optimal. Penelitian ini akan disimulasikan pada sistem tenaga IEEE 30 bus.untuk mengetahui keunggulan dari metoda FA hasil simulasi dibandingkan dengan PSO. Dari hasil simulasi SCDOPF diperoleh hasil total biaya pembangkitan pada jam pertama 520.252 ($/jam), pada jam ke dua 471.056 ($/jam), pada jam ke tiga 475.671 ($/jam) dan jam ke empat 475.671 ($/jam) dengan total biaya 1942.325 ($/jam). Hasil simulasi PSO menunjukkan bahwa PSO lebih mahal bila dibandingkan dengan FA. ========== Security Constraint Dynamic Optimal Power Flow (SCDOPF) is an optimization of loading generation with dynamic load for finding the cheapest generation costs as well as adding a contingency on the transmission line so that system remains safe and reliable. In thi thesis, OPF is execute continously whit the three cases namely OPF before normal condition, OPF with continngency 1 and OPF with continngency 2. Fitness functions of those three cases are summed to find the cheapest fitness function. Firefly Algorithm (FA) has advantage of solving nonlinearity, multidimensional problem and it is not easily trapped in a local optimum. This study is simulated in IEEE 30-bus power system. For knowing the excellence of the FA method, simulation�s result is compared with Particle Swarm Optimization (PSO). The SCDOPF�s simulation obtained total generation cost are 510.155 ($/hour), 508.623 ($/hour), 495.858 ($/hour) dan 474.134 ($/hour) respectively for the first hour until the fourth hour with a total cost of 1988.7698 ($/hour). The simulation result that losses from PSO is bigger and time computation longer than FA.

Item Type: Thesis (Masters)
Additional Information: RTE 621.319 Mak s 2212201002
Uncontrolled Keywords: Security Constraint Dynamic Optimal Power Flow (SCDOPF), Firefly Algorithm (FA)
Subjects: Q Science > QA Mathematics > QA9.58 Algorithms
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive.
Divisions: Faculty of Industrial Technology > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User: - Davi Wah
Date Deposited: 11 Mar 2019 08:05
Last Modified: 11 Mar 2019 08:05
URI: http://repository.its.ac.id/id/eprint/62468

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