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The parameter extraction method of De Soto is implemented in the single diode model and evaluated against measured data at varying temperatures and irradiances. The simulated current-voltage-curves (IV-curves) of the method can be seen as acceptable at reference conditions, but they result in a different IV-curve, not matching the measured IV-curve, at conditions that differ from the reference conditions...
This paper proposes a direct model predictive current control (MPC) strategy for matrix converters (MCs). The proposed method aims to regulate the output current of the MC while minimizing the input reactive power at the same time. In addition, in order to reduce the switching losses, the MPC adjusts the average switching frequency of the converter. The MPC scheme uses the discrete-time model of the...
There are a number of factors accelerating the uptake of residential battery systems in Australia, these include: falling battery cost, increased energy prices and lower solar export rates. Given the new interest, it is important to analyse the optimal capacities of residential battery systems, for a standard Australian households. This paper contributes an extension to modelling techniques by considering...
In the light of the emissions associated with fossil fuel combustion and their associated health and environmental impacts, natural gas is becoming increasingly attractive when compared with other fuels. Natural gas is a mixture of methane and other gases, which include natural gas liquid (NGL). This paper presents modeling and optimization of the distillation column of NGL fractions, especially the...
In this work, we deal with the problem of the Azimuth-Elevation (AE) blind tracking for the heliostats in solar central tower. The variation of the AE heliostat angular positions is supposed to happen in well-defined steps of time. It is the time necessary for updating the heliostat position where the mirror is kept properly aligned to the receiver situated on the top of the tower. We noted it here...
Conservation voltage reduction (CVR), the theory that reducing distribution feeder voltages will result in a reduction in demand, has recently been reintroduced with the aim of improving overall energy efficiency. Although CVR is a simple and cost-effective scheme, reducing voltages may not always be the most beneficial decision in terms of reducing demand. In fact, for certain types of load, reducing...
Today, Apache Cassandra, an highly scalable and available NoSql datastore, is largely used by enterprises of each size and for application areas that range from entertainment to big data analytics. Managed Cassandra service providers are emerging to hide the complexity of the installation, fine tuning and operation of Cassandra datacenters. As for all complex services, human assisted management of...
Recently, the railway sector is required to improve energy efficiency. Since no additional hardware investment is required, the authors are focused on the optimisation of the train timetable for less energy consumption. Train timetable contains the slack time for each interstation for robustness against delay. Although energy consumption can be reduced by the slack time, the slack time distribution...
With rising concerns on energy and environment, the energy-efficient operation techniques in railway systems are paid more attention in recent years. The metro-transit system has some distinguishing features like short headway and a high number of stations with short interstation distance, which makes effectively using regenerative energy becoming more significant in the energy-saving study. This...
The operational optimization of large hydrological basins still remains a challenger issue. Large travel times of the water between upstream reservoirs and the mouth of the river, several days as horizon of optimization, very nonlinear equations, uncertainties and ecological constraints result in complex optimization problems with difficult solutions. The present work uses a new formulation, with...
In this paper, we further analyse the problem that polarimetric target decomposition methods in general have more physical parameters than equations, making the decomposition under-determined and hence have no unique solution. The common approach to get around this problem is to make certain assumptions, thus fixing one or more parameters, allowing the other free parameters to be solved from the set...
This paper presents a feasible optimal solution to the maintenance-scheduling problem of medical equipment. The proposed approach is based on the exponential survival model developed by the authors. Based on the data analysis obtained for Infusion Pumps and the associated survival function, the problem of preventive maintenance scheduling is formulated as a Mixed-Integer Mathematical Linear Programming...
Visual mapping is a required capability for practical autonomous mobile robots where there exists a growing industry with applications ranging from the service to industrial sectors. Prior to map building, Visual Odometry(VO) is an essential step required in the process of pose graph construction. In this work, we first propose to tackle the pose estimation problem by using both photometric and geometric...
This paper presents a series of further modifications to the parallel algorithm used for finding digraphs realisations of the characteristic polynomial. What distinguishes the mentioned algorithm from other state-of-the-art solutions is the ability to find a complete set of existing solutions, not just a few of them. Moreover, solutions found tend to be minimal in terms of a rank of matrices created...
Kinetic systems form a wide nonlinear system class with good descriptive power that can efficiently be used for the dynamical modeling of non-negative models emerging not only in (bio)chemistry but in other important scientific and engineering fields as well. The directed graph structure assigned to kinetic models give us important information about the qualitative dynamical properties of the system...
This paper addresses the performance evaluation and optimisation of failure-prone manufacturing systems. For this purpose, we propose a fluid stochastic event graph model that is a decision-free Petri net and can be used to model transfer lines, kanban systems, etc. In this model, tokens are considered as continuous flows. A transition can be in operating state or in failure state. A transition in...
For first order plus dead time models, an optimal method for tuning PI controllers is presented using dimensional analysis and numerical optimisation techniques. Considering a step change in setpoint, optimal equations for determining PI parameters are obtained through minimising the integral of absolute error (IAE). The optimisation process is constrained to guarantee a minimum Gain margin (G.M.)...
The problem of model-based fault detection in the presence of both parametric uncertainty and noise is addressed in this paper. Intervals are used to represent the uncertainty in the system parameters and interval extensions of parity equations are used as adaptive threshold selectors. A proper combination in time of different (interval) parity equations, together with a robust indicator, is used...
The problem of observer design for robust residual generation in nonlinear discrete-time systems is considered. The method is proposed to solve this problem involving nonlinear time-dependent transformation of state-space system model into strict feedback form. To make this transformation practicable, algebra of time-dependent functions is developed.
In this paper, we investigate the design of stationary ESSs based on supercapacitors (SCs) for metro network (MN). We implement a simulation tool in order to estimate the power flow among the metro vehicles and the ESSs through the MN. A new formulation of the ESSs siting and sizing optimisation problem is proposed and solved using particle swarm algorithm. The optimisation process minimises the energy...
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