A Robust Frequency Control Approach in PV-Diesel Hybrid Power System

Abstract

Hybrid power generation system such as photovoltaic (PV)-diesel is one of the solution to reduce operational cost of the conventional diesel generation system. However, fluctuation of PV power due to uncertainty in weather condition may generate an unstable frequency of system. Further, it may reduce the reliability of the power utility, especially when the penetration of PV power is large. Therefore, a frequency control approach that involving PV with battery supervised by neural network algorithm is proposed to generate a stable system frequency. This method can reduce the frequency deviation without smoothing PV output power. The PV panels can generate maximum power according to the weather condition and frequency deviation. The PV output power and battery output power is controlled by neural network algorithm control. The neural network algorithm control is considering frequency deviation, average insolation and change of insolation as input. The proposed method is compared with similar system but without the existence of battery as energy storage system. The simulation results show that the proposed method can generate small frequency deviation compared with system without battery.

A Review on Solar Powered Boat Design

“…The limitation of this model is that it is only a prototype based predictive model. Suryoatmojo et.al [6] suggested neural network based frequency control approach to overcome frequency deviation occurrence due to weather conditions. However, it has not validated it through real time model.…”

A Review of Solar-Powered Boat Development

“…Some researches to stabilize PV-diesel hybrid system output power on the land such as [21]- [25] may be adopted for ship application. Al-Alawi et.all [20], Suryoatmojo et.all [21] propose the utilization of Artificial Neural Network (ANN) to control the output power.…”

“…Some researches to stabilize PV-diesel hybrid system output power on the land such as [21]- [25] may be adopted for ship application. Al-Alawi et.all [20], Suryoatmojo et.all [21] propose the utilization of Artificial Neural Network (ANN) to control the output power. The use of sliding mode controller to overcome this problem is presented in [22], [23], while Datta et.all [24] propose fuzzy logic controller.…”

“…Al-Alawi et.all [20], Suryoatmojo et.all [21] propose the utilization of Artificial Neural Network (ANN) to control the output power. The use of sliding mode controller to overcome this problem is presented in [22], [23], while Datta et.all [24] propose fuzzy logic controller. All of the researches above are considered successfully suppress the fluctuation of hybrid system output power.…”

Simulasi Sistem Pembangkit Listrik Tenaga Angin Menggunakan Doubly Fed Induction Generator (DFIG) dengan Back-To-Back Converter

“…Jika pembangkit listrik berskala kecil yang menggunakan sumber energi minyak dibangun pada daerah pelosok, harga listrik akan menjadi sangat mahal karena tingginya biaya penyaluran bahan bakar [2]. Oleh karena itu, pembangunan pembangkit…”