Sensitivity analysis on effects of bias drifting in subcarrier multiplexed transmission system employing OSSB modulation

Author(s):  
Sook Choo Lim ◽  
Hairul A. Abdul-Rashid ◽  
Wei Sheik Cheong
Author(s):  
Yi-Kuei Lin ◽  
Hsien-Chang Chou ◽  
Ping-Chen Chang

This article studies a case of the banking company in Taiwan to measure the service performance by adopting reliability analysis. The service performance focuses on sending transaction data from one source (headquarters) to multiple sinks (bank branches) for a banking company transmission system. A stochastic flow network consisting of edges (transmission lines) and nodes (Internet data center or bank branches) is constructed to model such a computer system. The service-level agreement is a contract that requirements should be promised by the Internet service provider. Also, the bank needs to satisfy the customers’ requirements through the banking company transmission system. System reliability, which is defined as the probability of demand satisfaction, is studied as a key performance indicator for measuring service level of the banking company transmission system. Subsequently, sensitivity analysis is adopted to investigate the key transmission line that affects the system reliability most significantly. The system supervisor can make a decision for banking company transmission system to enhance the important edges for improving system reliability.


Author(s):  
Mohammad R. Hesamzadeh ◽  
Nasser Hosseinzadeh ◽  
Peter J Wolfs

Transmission system structure has an essential effect on the reliability of the power system and electricity market performance, especially when producers bid strategically. As part of on-going research on the design of a robust algorithm for expansion planning of the transmission grid in the Australian electricity market, this paper presents a framework which addresses: (1) the security of power delivery to the load points of the transmission system in case of single line outages; (2) the minimization of transmission system lost load; (3) an efficient electricity market for market participants; (4) construction and maintenance costs of transmission augmentation options; and (5) operation efficiency of the transmission grid.The suggested algorithm benefits from the dynamic programming and sensitivity analysis approaches along with the aggregation method in its multi-criteria decision-making to locate the optimum configuration of a future transmission system. A set of indices, which account for impacts of the augmentation options of the transmission grid on five aforementioned reliability and market criteria, are proposed and used in the optimum framework for expansion planning of the transmission grid.Although the methodology is promising for expansion planning of the transmission system, considering the sensitivity analysis concept employed, the proposed methodology would be suitable to detect the sensitive areas of the transmission system to be expanded. The tool would be very useful in the case of large scale power systems for a smart reduction of the transmission expansion options.The proposed methodology has been applied to a 6-bus and a modified IEEE 30-bus test system to show the effectiveness of the sensitivity-based algorithm.


Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 187 ◽  
Author(s):  
Lei Chen ◽  
Xiao Zhang ◽  
Zhengfeng Yan ◽  
Rong Zeng

As a new torsional vibration absorber, the dual mass flywheel (DMF) contains a symmetric structure in which the damping element is a pair of springs symmetrically distributed along the circumference direction. Through reasonable matching parameters, the DMF functions in isolating torsional vibrations caused by the engine from the transmission system. Our work aims to solve the accuracy of matching models between the DMF and power transmission system. The critical structural parameters of each order modal are treated consecutively by two methods: Absolute sensitivity (e.g., under the idle condition and driving condition), and relative sensitivity. The operation achieves a separation of the parameters and diagnosis of the relationship between these parameters and the natural frequency in the system. In addition, the natural frequency range is determined based upon the area of the resonance speed. As a result, the matching model is established based on the sensitivity analysis method and the natural frequency range, which means the moment of inertia distribution (its coefficient should be used as one structural parameter in relative sensitivity analysis) and the torsional stiffness in multiple stages can be observed under the combined values. The effectiveness of the matching model is verified by experiments of a real vehicle test under the idling condition and driving condition. It is concluded that the analysis study can be applied to solve the parameters matching accuracy among certain multi-degree-of-freedom dynamic models.


2020 ◽  
Vol 58 (2-3) ◽  
pp. 141-165
Author(s):  
Jann T. Keller ◽  
Gerard H. Kuper ◽  
Machiel Mulder

Abstract In Europe, gas market mergers aim at reducing restrictions on gas wholesale markets. Market mergers also allow network users to book transport capacity at different gas transmission system operators (TSOs), which may give rise to inter-TSO competition. Our theoretical analysis reveals the incentive for TSOs, operating under a revenue-cap regulation in merged markets, to charge lower tariffs at borders where different TSOs offer capacity, compared to borders where only one TSO offers capacity. This incentive does not directly result from revenue-cap regulation but is due to efficiency benchmarking. We test this hypothesis by applying a panel data analysis to tariffs charged at German border points between 2015 and 2018. In line with our hypothesis, we find lower tariffs at those border points where network users have a choice between different TSOs. An additional sensitivity analysis differentiating between transit and meshed networks confirms this result. We conclude that German TSOs, operating in merged markets and under a revenue-cap regime with efficiency benchmarking, compete for demand at borders at which different TSOs offer capacity.


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