This paper describes the simulation of a distributed generation system with storage technologies. The simulation is performed using a SCADA software for a distributed generation system, considering the generation cost...
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This paper describes the simulation of a distributed generation system with storage technologies. The simulation is performed using a SCADA software for a distributed generation system, considering the generation cost, the load and the availability of the system's generating units. Also, a storage unit is added to the system. An overview of the storage technologies is also presented.
This paper describes the mathematical modeling of the optimal power flow problem. The purpose is to optimize the power flow for a whole day, for a system in which several distributed generators (DGs) have been added. ...
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This paper describes the mathematical modeling of the optimal power flow problem. The purpose is to optimize the power flow for a whole day, for a system in which several distributed generators (DGs) have been added. There are two objective functions which are minimized, the generation cost and the total power losses of the system, while satisfying equality and inequality constraints. The optimization is performed for different DGs and load scale factors. The other generators from the system have a 1 scale factor.
The purpose of this paper is to measure the sustainability of corporate through using the relationship of major shareholder using complex system. As a result of case study, we can find two types of meaningful network....
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The purpose of this paper is to measure the sustainability of corporate through using the relationship of major shareholder using complex system. As a result of case study, we can find two types of meaningful network. First type is the clustering according to connectivity among major shareholders. Second Type is the network according to corporate group. First type shows small world network and characteristics of corporate group such like business style, decision making speed and owner risk. Second type shows scale-free network and investment preference according flowing power law in stock market. Third type is the clustering according to industry sector of stock focusing on Information Technology.
Artificial Intelligence federates numerous scientific fields in the aim of developing machines able to assist human operators performing complex treatments---most of which demand high cognitive skills (e.g. learning o...
ISBN:
(数字)9781627054478
Artificial Intelligence federates numerous scientific fields in the aim of developing machines able to assist human operators performing complex treatments---most of which demand high cognitive skills (e.g. learning or decision processes). Central to this quest is to give machines the ability to estimate the likeness or similarity between things in the way human beings estimate the similarity between stimuli. In this context, this book focuses on semantic measures: approaches designed for comparing semantic entities such as units of language, e.g. words, sentences, or concepts and instances defined into knowledge bases. The aim of these measures is to assess the similarity or relatedness of such semantic entities by taking into account their semantics, i.e. their meaning---intuitively, the words tea and coffee, which both refer to stimulating beverage, will be estimated to be more semantically similar than the words toffee (confection) and coffee, despite that the last pair has a higher syntactic similarity. The two state-of-the-art approaches for estimating and quantifying semantic similarities/relatedness of semantic entities are presented in detail: the first one relies on corpora analysis and is based on Natural Language Processing techniques and semantic models while the second is based on more or less formal, computer-readable and workable forms of knowledge such as semantic networks, thesauri or ontologies. Semantic measures are widely used today to compare units of language, concepts, instances or even resources indexed by them (e.g., documents, genes). They are central elements of a large variety of Natural Language Processing applications and knowledge-based treatments, and have therefore naturally been subject to intensive and interdisciplinary research efforts during last decades. Beyond a simple inventory and categorization of existing measures, the aim of this monograph is to convey novices as well as researchers of these domains toward a better unders
There are information mining methodologies that emphasize the importance of planning for requirements elicitation along the entire project in an orderly, documented, consistent and traceable manner. However, given the...
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With the increasing grid penetration levels of wind power, there is a large need for the energy reserves for grid support during under-frequency conditions. Such energy reserves are created by operating the wind farm ...
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作者：
Lucian Ioan Dulău1PhD Student
Department of Automation Faculty of Automation and Computer Science Technical University of Cluj-Napoca 26-28 Gh. Bariţiu 400027 Cluj-Napoca Romania
This paper describes the simulation of a microgrid system with storage technologies. The microgrid comprises 6 distributed generators (DGs), 3 loads and a 150 kW storage unit. The installed capacity of the generators ...
This paper describes the simulation of a microgrid system with storage technologies. The microgrid comprises 6 distributed generators (DGs), 3 loads and a 150 kW storage unit. The installed capacity of the generators is 1100 kW, while the total load demand is 900 kW. The simulation is performed by using a SCADA software, considering the power generation costs, the loads demand and the system’s power losses. The generators access the system in order of their power generation cost. The simulation is performed for the entire day.
作者：
H. TourajizadehS. ManteghiS. R. NekooAssistant professor
Department of Mechanical Engineering Faculty of Engineering Kharazmi University Tehran Iran M. Sc.
College of Computer and Mechatronics Engineering Islamic Azad University Branch of Science and Research Tehran Iran PhD Student
School of Mechanical Engineering Iran University of Science and Technology (IUST) Tehran Iran
In this paper, parametric and numerical model of the motors of a robot are extracted. A method is proposed here to control the torque and velocity of the motor simultaneously using the extracted dynamics of the motor ...
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ISBN:
(纸本)9781467372350
In this paper, parametric and numerical model of the motors of a robot are extracted. A method is proposed here to control the torque and velocity of the motor simultaneously using the extracted dynamics of the motor and consequently control the robot motion more accurately. Parametric model of the motors are derived by conducting standard tests like locked rotor test and step and sine wave input test. In order to derive the neural network and numerical models, a set of sinusoidal, triangular, and random steps signal, are applied as the input to the motor and its speed is recorded as the output. Neural network model of the motors is extracted by using these dataset and considering the MLP neural network structure with Levenberg _Marquardt training method. Results of the numerical model and parametric models are compared and validated by experimental tests.
In today's world, BIG DATA, which essentially means a flood of data, is trending is the field of IT. The discoveries that can be made by industries using big data is massive and can often help industries increase ...
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In today's world, BIG DATA, which essentially means a flood of data, is trending is the field of IT. The discoveries that can be made by industries using big data is massive and can often help industries increase their profits. The project we are going to be doing is going to help the retail sector in a massive way. We are going to be developing a Business Intelligence Tool for the Retail sector which can help analyze its customers and improve its business strategies. It is required by every industry today. As an additional feature we are also going to be integrating cloud computing to fetch the data from different sources and store it in the data warehouse.
The paper highlights various issues of complexity and deliverability and its impact on software popularity. The use of Expert Intelligence system helps us in identifying the dominant and non-dominant impediments of so...
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ISBN:
(纸本)9781479925735
The paper highlights various issues of complexity and deliverability and its impact on software popularity. The use of Expert Intelligence system helps us in identifying the dominant and non-dominant impediments of software. FRBS is being developed to quantify the trade-off between complexity and deliverability issues of a software system.
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