Browsing by Author "Waqas Tariq Toor"

Now showing 1 - 5 of 5
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    Model based analysis and efficient control system design for fuel cell power system
    (2012) Mashood Nasir; Abdul Aziz Bhatti; Waqas Tariq Toor
    In this research work a Fuel cell based power system is explicitly modeled and analyzed under the various possible operating conditions. In order to ensure a reliable, efficient, durable and cost effective operation, a control system based on the management of air and fuel flow regulations can be designed. Fuel cell systems produce clean energy and they have got higher energy conversion efficiencies as compared to Internal Combustion Engines based power plants. In order to make this technology economically viable, feed of the air and fuel, pressure regulations, flow rates and the heat produced must be optimally controlled. Oxygen depletion, during the transient reactions, is the major cause of low performance and subsequent deteriorations. In order to overcome the stated limitations, internal subsystem reactions are modeled deliberately and examined carefully. Based on the mathematical deductions and feedback control techniques, optimal pressures and flow rates for hydrogen and oxygen are selected. Breath control unit can be efficiently controlled by using this model to avoid degradation. The output voltage model is also delineated in terms of internal electrochemical dynamics to confirm the maximum power gain by the selected parameters. Results are also verified using MATLAB/ Simulink tool. The Proposed methodology is equally valid for both Polymer Electrolyte Membrane and Solid Oxide Fuel Cells based power systems with some modifications.
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    Model Formulation and design of an efficient control algorithm for fuel cell power system
    (4th International Conference on Power Engineering, Energy and Electrical Drives Istanbul, Turkey, 2013) Mashood Nasir; Abdul Aziz Bhatti; Waqas Tariq Toor
    In this research work a Fuel cell based power system is explicitly modeled and analyzed under the various possible operating conditions. In order to ensure a reliable, efficient, durable and cost effective operation, a control system based on the management of air and fuel flow regulations can be designed. Fuel cell systems produce clean energy and they have got higher energy conversion efficiencies as compared to Internal Combustion Engines based power plants. In order to make this technology economically viable, feed of the air and fuel, pressure regulations, flow rates and the heat produced must be optimally controlled. Oxygen depletion, during the transient reactions is the major cause of low performance and subsequent deteriorations. In order to overcome the stated limitations, internal subsystem reactions are modeled deliberately and examined carefully. Based on the mathematical deductions and feedback control techniques, optimal pressures and flow rates for hydrogen and oxygen are selected. Breath control unit can be efficiently controlled by using this model to avoid degradation. The output voltage model is also delineated in terms of internal electrochemical dynamics to confirm the maximum power gain by the selected parameters. Results are also verified using MATLAB/ Simulink tool. The Proposed methodology is equally valid for both Polymer Electrolyte Membrane and Solid Oxide Fuel Cells based power systems with some modifications.
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    Neural network based optimal placement of base stations
    (University of Management and Technology, 2010) Waqas Tariq Toor
    Neural network has been used as an optimization tool in the past to solve various problems. In this research work, it is used to solve the problem of placing base stations in a given area in optimal way. Wireless communication has a great impact on our daily life and requires its working parameters to be optimum. These parameters include coverage area, hand off rates, number of calls per cell etc. All these and other parameters need to be optimally designed for a communication system to work optimally. Coverage area and interference are the two main parameters that are affected by the placement of base stations. If the base stations are placed very far from each other beyond their covering ranges, lot of spaces will be left with no coverage. On the other hand if they are placed very close to each other, interference will be the result. So the base stations need to be placed in optimum way. Placing the base stations requires work force which performs drive test to decide whether to place base station in a particular region or not. With our solution it only requires a computer to find the optimum placement of base stations. Given an area, our proposed methodology places the base stations in optimum way in that area. Neural network is used as a tool to find the solution to this problem.
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    Neural network based optimal placement of base stations in three dimensional plane
    (IEEE, 2012) Waqas Tariq Toor; Abdul Aziz Bhatti
    The paper proposes a solution to the problem of optimal placement of base stations, with effective utilization of resources. First, it analyzes the placement of base stations in x-y plane. Then this analysis is extended to 3-dimenional system, by including the z coordinate for representing height. This analysis optimizing these xy coordinate values as well as value of z coordinate, as height also contributes in covering the area of base stations. The Hopfield neural network model is used to find the solution to our problem.. Neural network and all parameters, i.e. x, y and z coordinates are used to maximize the coverage area and to minimize the interference, as optimal placement of base stations refer to these two points. In wireless communication system, the placement of base stations requires work force and costly equipments like GPS etc. resulting in loss of time and money. However, with proposed strategy only a laptop or desktop PC will be required to compute the positions of base stations within very less time. The energy equations are developed for our network which shows that the solution resulting from these equations is stable. The computer simulations and graphs are also included to validate the results.
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    Smart grid architecture and communication using heterogeneous communication techniques in different tiers
    ((POWERENG), Turkey, Istanbul., 2013) Waqas Tariq Toor; Muhammad Basit Shahab; Muhammad Shoaib; Asif Hussain; Mashood Nasir
    This paper discusses different communication techniques in different tiers of architecture of smart grid. Communication is what differentiates between conventional and smart grids. Existing communication techniques can be used for the communication among different grids. Each communication technique has some pros and cons. If same communication technology is used for the whole network, it may be advantageous in certain scenario or tier but may not be beneficial in other tiers. This paper presents the idea of using different communication techniques for different tiers. The main objective is to use the advantage of a communication technique in a certain tier without bearing its disadvantage in any other tier. Different topologies of grid connectivity are discussed and communication techniques are also proposed and discussed accordingly. Priority and data rate for the data sent by the grids is also taken care of in proposing these techniques. Since different communication techniques are used at each level, interoperability is an important issue. Different problems are addressed and solution are proposed.