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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.

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Application of game theory in decision making strategy: Does gas fuel industry need to kill oil based fuel industry? AIP Conference Proceedings 1826, 020037 (2017) ) among the provinces. The scenario to boost up ER in the Eastern area by connected the consumers at villages which not electrified yet to the new Renewable Energy sources. This paper presents an overview of current situation of Electricity Infrastructure and Operation particularly on the mountain area which has high populated compare to coastal area but the average RE below 10%. Case studies of electricity infrastructure profile from mountain area were conducted to identify and reveal the challenge to achieve the Bright Indonesia objectives. Also, the assessment of the visibility according to the high target from this program will be presented.

In this paper we proposed a new technique for identifying system stress due to the loading in wide area of power system based on the phasor angle difference behavior. The difference of voltage phasor angle between busses can be transferred in to a simple conversion and trigonometric wave signal during load increasing. Using Discrete Fourier Transform (DFT), the signal will be transformed into the spectral frequency. The proposed technique will analyzed current condition by visualized the level of stress and proximity to voltage stability limit in the system based on the change of spectral frequency . This method also can be used to monitor such loss of generators or transmission line outages. The result shown that the proposed technique is simple, fast and reliable, requiring minimum data measurement and be suitable for Wide Area Monitoring System.