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In this paper, the already proposed high feedback gain switching method has the optimum setting for a specific load step. Therefore, we investigate the optimal setting of the proportional gain switching for various disturbance such as the line and load fluctuation, which could occur in the renewable energy system. As a result, the following setting of the proposed method is optimum: the optimum setting...
Smart grid systems include many different power sources such as renewable and fossil energy basis. While collecting all type of energy on the grid, phase order, frequency, maximum voltage value and synchronization time of each power station should be known for a smooth operation of the smart grid. Therefore, the detection of peak values of grid voltages will help the smart grid operators to connect...
In this paper, the application of genetic algorithm (GA) to energy management of isolated power system is discussed. A method to realize the simultaneous optimization of configuration and operation with emergency generators (EGs) in a hospital is proposed as an example. The simultaneous optimization of configuration and operation needs search of enormous combinations, which is generally considered...
This paper presents a comparison of optimum energy scheduling of emergency generators (EGs) of a large hospital with renewable energy system using mathematical programming methods. A large hospital has the EGs to keep a medical service when a power failure occurred in disaster In using the EGs, the hospital has to save the fuel consumption in island operation mode to drive the EGs as long as possible...
The purpose of this paper is to present a new approach of optimum energy scheduling using linear programing for an emergency isolated power generator installed in a large hospital. In our previous work, we have developed a simulator to analyze the power grid conditions when a power failure occurred in medical facilities. Analyzing the power supply and demand balance in medical facilities with our...
This paper presents novel control methods to suppress the inrush current in soft-start operation for HVDC converter. The HVDC (Higher Voltage Direct Current) system attracts attention to accomplish efficient energy management. However, the inrush current and overshoot of the output voltage which exceeds far larger than the rated values occur when the dc-dc converter in HVDC system starts its operation...
This paper presents a new air flow controller for a thermal power plant. When an inverter power source is used for a forced draft fan (FDF) in order to save power, the conventional countermeasures do not cover all abnormal states. The proposed controller is evaluated by performing a simulation. The power source is shown to change from the inverter to a commercial power source within 0.5 second in...
This paper presents a novel prediction based digital control dc-dc converter. In this method, a neural network control is adopted to improve the transient response in coordination with a conventional P-I-D control. The prediction based control term is consists of predicted data which are obtained from repetitive training of the neural network. This works to improve the transient response very effectively...
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