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Increasing power consumption requires engineers to find better control techniques to increase energy efficiency. Advancements in technology allows us to use more complex control algorithms to pursue this goal. Load frequency control (LFC) is one of the vital points in power system control and a state of art control method must be used to ensure power quality of the grid. In this work, decentralized...
Electrical propulsion is gaining popularity in the marine industry, because of its good energy management and better dynamic performance. An azimuth thruster driven by an electric motor is a common configuration found in modern electric propulsion systems. In recent years failures relating to bevel gears and bearings in azimuth thruster drive train failures were reported in the marine industry. The...
This paper presents a fuzzy controller for the Active Chilled Beam (ACB) system, which is capable of maintaining the predetermined indoor relative humidity and temperature under time-varying thermal loads. Following the divide-and-conquer strategy, the complex nonlinearities are mitigated by a set of linear Takagi-Sugeno's (T-S) fuzzy approximations. Accordingly, the Linear Quadratic Regulator (LQR)...
Multiple-input converter (MIC), which has higher efficiency, less component count, lower cost and simpler control method, is a promising candidate for energy harvesting in hybrid systems, and for power distribution in micro and nano grids. The principle of the proposed advanced-timesharing switching (ATSS) strategy is that the effective duty ratio of each switch is an integer multiple of a common...
This paper proposes an energy sharing adjustable speed drive system for dual-escalator applications. The primary goal is to harvest the regenerative energy produced by downward running escalator and share the energy with the upward running escalator. Thus the system energy consumption is reduced. The energy sharing is realized by inter-connecting the DC buses of two adjustable speed drives. An isolated...
An accurate battery State of Charge (SOC) estimation is very important for electric vehicles. In this paper, a method is proposed to estimate the SOC of the lithium-ion batteries using radial basis function (RBF) networks and the adaptive unscented Kalman filter (AUKF). The RBF networks are to model the battery-discharging process, then the AUKF is applied to estimate the SOC of the battery. Simulation...
The main goal of this paper is to investigate the presence of jumps in Shanghai Inter-bank Offered Rate (SHIBOR), which is Chinese money market benchmark interest rate, and compare interest rate models of SHIBOR based on MCMC Method. Although SHIBOR has become an important interest rate, on which a lot of derivatives underlie, it is less studied. The Markov Chain Monte Carlo method is applied to analyze...
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