2017

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    Issues and challenges in the integration of Internet of things and cloud computing
    (UMT, Lahore, 2017) Amber Azam Malik
    In the present era Internet of Things, Cloud Computing and their integration are hot topics of research. The two variant worlds of Cloud and IoT have seen a remarkable independent evolution. Though, a lot of mixed issues occurring from the integration have been identified in literature and are forseen in the next genre. Generally, to obtain benefits in specific integration, foremost is to grab and carve issues, to fight further flaws. This research presents Issues involved in the Integration, their root causes and the consequences on the society. This research is to look for vulnerabilities and to analyze them, so that the quality of integration by two contrary technologies must be guaranteed. The main ideas of this research encompasses on hurdles in the integration of two technologies Cloud Computing and Internet of things. The research describes IOT and CC thoroughly and then focuses on their integration. Relevant issues and challenges in the merging of two vast differ techniques are major agenda of this research. In description, research grasps mainly concerned topics, services, layers, architectures, working, protections, security, rules and regulations by being focused on issues and challenges in the integration of IOT and CC to form CoT (Cloud of Things). Major and general issues and challenges are essentially taken as research area.
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    Requirements change management issues for E-government in Pakistan
    (UMT, Lahore, 2017) Hafsa Mehboob
    E-Government services are very essential and effective as government works together with businesses and citizens. In this way many opportunities are available for individuals as well as organizations. Requirements are gathered for E-Government projects. During the development of these projects, usually requirements change. In such scenarios, requirements change management is a critical factor and plays a vital role in the success of E-Government projects. In this research, we have identified the issues of requirements change management from the perspective of E-Government in Pakistan. We observe that if these issues are timely identified, addressed and resolved then the rate of success of E-Government projects can be increased.
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    Power quality issue in microgrid
    (UMT, Lahore, 2017) Muhammad Sohail Mustafa
    The necessity of time demands the change from conventional power sources to self-comfort and generation of green sources to meet the need of its rapid increasing energy. Since the generation of electricity is at distant areas, its transmission to urban areas results in the losses. At distribution level, the types of non-linear and linear loads generate further power quality issues such as voltage drop, issues of reactive power and phase unbalance. To avoid above issues and making system more reliable at power system distribution level, a microgrid concept is introduced. Microgrid is fundamentally an outfit at the level of MV distribution system that consists of several units of distributed generation and regional loads. Microgrid has two modes of operation. (1) Grid-connected (2) Islanded mode. The instant change of Microgrid between their operation modes i.e. from grid-connected to Islanded mode generates issues of power quality i.e. fluctuation of voltage and deficiency of reactive power needs by loads. In this dissertation, the concept of microgrid is applied to the industrial load in real-time. As there is shortage of electricity demand in our country, the well-being of industry depends on analytical loads. The D-STATCOM technique of reactive power and voltage controlling are plotted for Microgrid smooth operation between their operating modes.
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    Combined scheduling of electric vehicles and renewable energy under uncertainty
    (UMT, Lahore, 2017) Bilal Ahmed
    The increasing energy demand due to industrial and consumer load as well as population has made it imperative to seek out various other resources to harness power. Conventional methods of electric power generation have failed to keep up with the demand in the energy; it is a rather depleting source of power production. These hydrocarbon fuels also pose a serious threat to the environment as the global warming has increased significantly due to their use. The need of the hour is to develop such a system which would be able to cater the needs of the increased energy demand as well as be less of a threat to the environment. Much research has been done on the renewable energy resources and it has produced significant results. With the advancement in research and development, more efficient and better means of electric power production have been devised. The instances include the ever-improving PV panels, Wind energy units and Energy produced from biomass etc. The concept of micro-grid is exactly the crux of the above discussion where conventional power producing resources work in parallel with the renewable energy resources in order to provide smooth and uninterrupted power supply. Clever algorithms and methods have been devised so that all resources work in synchronism with each other in an optimal way. The aim is to amalgamate the resources in such a way that we are able to get the maximum output power at a minimum cost. Various cost effective optimization schemes have been employed in order to yield a balanced system with a low operating cost and a very good efficiency. Incorporation of the optimization methods into the system not only renders it cost effective and efficient, it can also produce profit to consumer when the designed system supplies power to the grid. The demand of electrical vehicles has risen significantly in the recent years. These vehicles offer zero emissions resulting in no harm to the environment. Vehicle to grid (V2G) is technique that has evolved over the years in the developed countries where a fleet of electrical vehicles can provide surplus power back into the grid hence profiting the consumer. Later in this dissertation, this V2G strategy has been extensively addressed. The aim of this dissertation is to provide a combined Electric vehicle and renewable energy resources schedule using the technique of stochastic programming.