Optimisasi Perancangan Kendali Unified Power Flow Controller Pada Sistem Single Machine Infinite Bus Dengan Metode Genetic Algorithm Dan Particle Swarm Optimization

FARIS SYAMSUDDIN, Dr.Ir. Sasongko Pramono Hadi, DEA.

2013 | Tesis | S2 Teknik Elektro

Salah satu permasalahan penting dalam sistem tenaga listrik adalah keterbatasan dalam penyaluran daya. untuk mengatasi masalah ini, penambahan unified power flow controller (UPFC) diusulkan pada tesis ini. Penelitian ini membahas rancangan kendali peralatan UPFC. Model yang digunakan adalah sistem single machine infinite bus (SMIB) dengan kendali power system stabilizer (PSS) dan power oscillation damping (POD). Parameter PSS dan POD dicari menggunakan genetic algorithm (GA) dan particle swarm optimization (PSO). Hasil simulasi dari penelitian ini menunjukan bahwa penambahan PSS dan POD mampu meningkatkan kestabilan sistem, hal ini dibuktikan dengan rendahnya tingkat overshoot, minimnya osilasi yang terjadi, serta pergeseran eigenvalue yang semakin ke kiri menjauhi sumbu imajiner. Perbandingan pada PSO dan GA menghasilkan proses running time PSO lebih cepat dari GA. Dan juga pada proses perhitungan fungsi tujuan menghasilkan PSO lebih cepat dari GA.

One of the most important issues in power systems is the capacity of the distribution network. To overcome the problem, the implementation of unified power flow controller (UPFC) is proposed in this thesis. This research focus the design of UPFC control equipment. The single machine infinite bus system (SMIB) with power system stabilizer (PSS) controller and power oscillation damping (POD)model were used as the control model. PSS and POD parameters were optimized with genetic algorithm (GA) and particle swarm optimization (PSO). Simulation results of this study indicate that the implementation of PSS and POD improves system stability. The evidence could be observed from less overshoot, the lack of oscillations, as well as the eigenvalue shifts furtherly left of the imaginary axis. It is evident that the running time of PSO is faster than GA. Keywords— Unified power flow controller (UPFC), single machine infinite bus (SMIB), power system stabilizer (PSS), power oscillation damping (POD), genetic algorithm (GA), particle swarm optimization (PSO)

Kata Kunci : Unified power flow controller (UPFC), single machine infinite bus (SMIB), power system stabilizer (PSS), power oscillation damping (POD), genetic algorithm (GA), particle swarm optimization (PSO)