Essentially, it is significant to supply the consumer with reliable and sufficient power. Since, power quality is measured by the consistency in frequency and power flow between control areas. Thus, in a power system ...Essentially, it is significant to supply the consumer with reliable and sufficient power. Since, power quality is measured by the consistency in frequency and power flow between control areas. Thus, in a power system operation and control,automatic generation control(AGC) plays a crucial role. In this paper, multi-area(Five areas: area 1, area 2, area 3, area 4 and area 5) reheat thermal power systems are considered with proportional-integral-derivative(PID) controller as a supplementary controller. Each area in the investigated power system is equipped with appropriate governor unit, turbine with reheater unit, generator and speed regulator unit. The PID controller parameters are optimized by considering nature bio-inspired firefly algorithm(FFA). The experimental results demonstrated the comparison of the proposed system performance(FFA-PID)with optimized PID controller based genetic algorithm(GAPID) and particle swarm optimization(PSO) technique(PSOPID) for the same investigated power system. The results proved the efficiency of employing the integral time absolute error(ITAE) cost function with one percent step load perturbation(1 % SLP) in area 1. The proposed system based FFA achieved the least settling time compared to using the GA or the PSO algorithms, while, it attained good results with respect to the peak overshoot/undershoot. In addition, the FFA performance is improved with the increased number of iterations which outperformed the other optimization algorithms based controller.展开更多
Abstract--- Because of rapid development in network technology, Internet usage has become widespread. It allows users with sensing devices to obtain medical data for healthcare, such as physiological signals, voice, a...Abstract--- Because of rapid development in network technology, Internet usage has become widespread. It allows users with sensing devices to obtain medical data for healthcare, such as physiological signals, voice, and video streams from telemedicine systems, and to send the healthcare data to back-end database systems, creating a ubiquitous healthcare environment. However, this environment requires a widespread and suitable network. IPv6 （Internet protocol version 6） is the next-generation Internet protocol that will be the protocol of future networks; it improves many shortcomings of IPv4. In this paper, we propose an IPv6/IPv4 U-home-care test system and analyze the network＇s parameters though a series of tests by adjusting network parameters to find the optimal design for applications in the IPv6/IPv4 U-home-care service so as to assure good performance and high quality.展开更多
文摘Essentially, it is significant to supply the consumer with reliable and sufficient power. Since, power quality is measured by the consistency in frequency and power flow between control areas. Thus, in a power system operation and control,automatic generation control(AGC) plays a crucial role. In this paper, multi-area(Five areas: area 1, area 2, area 3, area 4 and area 5) reheat thermal power systems are considered with proportional-integral-derivative(PID) controller as a supplementary controller. Each area in the investigated power system is equipped with appropriate governor unit, turbine with reheater unit, generator and speed regulator unit. The PID controller parameters are optimized by considering nature bio-inspired firefly algorithm(FFA). The experimental results demonstrated the comparison of the proposed system performance(FFA-PID)with optimized PID controller based genetic algorithm(GAPID) and particle swarm optimization(PSO) technique(PSOPID) for the same investigated power system. The results proved the efficiency of employing the integral time absolute error(ITAE) cost function with one percent step load perturbation(1 % SLP) in area 1. The proposed system based FFA achieved the least settling time compared to using the GA or the PSO algorithms, while, it attained good results with respect to the peak overshoot/undershoot. In addition, the FFA performance is improved with the increased number of iterations which outperformed the other optimization algorithms based controller.
文摘Abstract--- Because of rapid development in network technology, Internet usage has become widespread. It allows users with sensing devices to obtain medical data for healthcare, such as physiological signals, voice, and video streams from telemedicine systems, and to send the healthcare data to back-end database systems, creating a ubiquitous healthcare environment. However, this environment requires a widespread and suitable network. IPv6 （Internet protocol version 6） is the next-generation Internet protocol that will be the protocol of future networks; it improves many shortcomings of IPv4. In this paper, we propose an IPv6/IPv4 U-home-care test system and analyze the network＇s parameters though a series of tests by adjusting network parameters to find the optimal design for applications in the IPv6/IPv4 U-home-care service so as to assure good performance and high quality.
