Comparison of LFC Optimization on Micro-hydro using PID, CES, and SMES based Firefly Algorithm

Abstract

Micro-hydro gets potential energy from water flow that has a certain height difference. Potential energy is strongly influenced by high water fall. Potential energy through pipes, incoming turbines converted into kinetic energy. The kinetic energy of the turbine coupled with the generator is converted into electrical energy. Some components used for micro-hydro power generation, among others; intake, settling basin, headrace, penstock, turbine, draft tube, generator, and control panel. Water flows through the pipe into the turbine house so it can rotate the turbine blades. Turbine rotation is used to rotate a generator at the micro hydro generator. The most common problem with micro-hydro generating systems is inconsistent generator rotation caused by changes in connected loads. Load changes can cause system frequency fluctuations and may cause damage to electrical equipment. Artificial Intelligence (AI) is used to obtain the right constants to obtain the best optimization.

Optimasi Kontroler Putaran Motor Permanent Magnet Syschronous Machine (PMSM) menggunakan PSO-ANFIS (Studi Kasus di Perumdam Tirta Kencana)

“…Operasi pada dasarnya mirip dengan mesin sinkron medanluka besar dengan satu pengecualian penting, PMSM biasanya dioperasikan dari elektronik tenaga variabel kecepatan dan tidak beroperasi pada kecepatan tetap tunggal. Proportional Integral Derivative (PID) Controller [4], dan Adaptive Neuro-Fuzzy Inference System (ANFIS) [5][6] sering digunakan untuk mengatasi permasalah optimasi system. PSO tersebut telah banyak digunakan untuk menyelesaikan permasalahan optimasi kontrol motor [7], optimasi turbin angin [8], optimasi wind diesel [9], optimasi mikrohidro [5][10] [11], optimasi photo voltaic [12] [12], optimasi steer kendaraan [13], rekonfigurasi jaringan listrik [14], dan optimasi lainnya..…”