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Regulation and optimization methodology for smart grid in Chinese electric grid operators using quality function deployment, equilibrium theory, fractal theory and mathematical programmingWang, Chen January 2014 (has links)
As the world is increasingly dependent on energy for the economic and social development and China’s Total Net Electricity Generation (TNEG) has remained the highest since 1996 due to its rapid economic growth, it is important to closely examine the operations of China’s electric power market, particularly the State Grid Corporation of China (SGCC) since it is the largest Electric Power Grid Operator (EPGO) in both China and the world. This research has addressed the problem and the urgent needs for the development of a sound framework and methodology for the effective regulation and optimization of the operations and quality management of the SGCC. Based on the critical literature review, the aspects and steps of the solution to the problem have been progressively presented. Firstly, a Country Wealth (CW) curve has been developed to characterize electricity generation in terms of TNEG, with China’s unique position identified. Further, the data has clearly indicated that China’s TNEG has also been closely correlated with the economic growth and the carbon emissions during the 30 years period of 1980-2010. Secondly, compared with the Equilibrium Energy Regulation Model, there are clear deficiencies and problems with the current regulation of China’s electric power market. The improvements in the integration of regulation strategies and the formation of one single effective regulator have been identified and proposed. Thirdly, a uniform regulation structure and framework based on fractal theory and QFD (quality function deployment) has been developed to integrate the existing and future electric power strategies, including smart grid strategy and sustainable development strategy(etc.). Through the use of QFD, the EPGO (SGCC) functions and operations can be prioritized and appropriately designed. Finally, the QFD methodology has been extended to achieve the optimization of quality and service operations given the target cost of the business processes. The methodology can be applied to both business and technical processes of the EPGOs since quality may be interpreted as a total quality involving the needs and expectations of various customers or stakeholders.
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Upravljanje komunikacionom mrežom elektroenergetske pametne mreže sa promenljivim komunikacionim zahtevima / Smart grid communication network management with variable communication requirementsČokić Mita 07 October 2020 (has links)
<p>Pametna elektroenergetska mreža predstavlja mrežu nove generacije koja treba da bude efikasna, proširiva, pouzdana i jednostavna za upravljanje. Pametnu mrežu karakteriše veliki broj uređaja i dvosmerna komunikacija sa njima. Ovi uređaji će generisati ogromne količine podataka koje je potrebno pročitati i transportovati do kontrolnog centra, za šta je neophodna odgovarajuća komunikaciona infrastruktura koja obezbeđuje adekvatan kvalitet usluge. U ovoj disertaciji je prikazano rešenje za obezbeđivanje kvaliteta usluge sabraćaja sa dinamičkim promenama prioriteta i propusnog opsega bazirano na programabilnim računarskim mrežama. Takođe je razvijena platforma za evaluaciju komunikacione infrastrukture pametnih mreža kako bi se omogućilo jednostavnije emuliranje različitih mrežnih topologija za potrebe razvoja novih algoritama upravljanja. Performanse rešenja su potvrđene putem šest testnih scenarija i pokazano je da predstavljeno rešenje daje bolje rezultate za sve scenarije sa aspekta obezbeđivanja propusnog opsega i mrežnog kašnjenja.</p> / <p>Smart grid represents the next generation power network which should be efficient, extensible, reliable and easy to manage. The smart grid will have a great number of devices with two-way communication. These devices will generate large amount of data that needs to be read and transported to utility control center, which further requires adequate communication infrastructure with appropriate quality of service. This dissertation presents a solution for providing quality of service for traffic with dynamic priority and bandwidth requirements, based on software defined networks. The platform for smart grid communication infrastructure evaluation is developed to enable easy emulation of different network topologies for the purpose of developing new control algorithms. Solution performance is verified using six test scenarios and it is shown that the proposed solution gives better results for all scenarios from the aspect of bandwidth provision and network latency.</p>
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Hybrid Grid Generation for Viscous Flow Computations Around Complex GeometriesTysell, Lars January 2009 (has links)
A set of algorithms building a program package for the generation of twoandthree-dimensional unstructured/hybrid grids around complex geometrieshas been developed. The unstructured part of the grid generator is based on the advancing frontalgorithm. Tetrahedra of variable size, as well as directionally stretched tetrahedracan be generated by specification of a proper background grid, initiallygenerated by a Delaunay algorithm. A marching layer prismatic grid generation algorithm has been developedfor the generation of grids for viscous flows. The algorithm is able to handleregions of narrow gaps, as well as concave regions. The body surface is describedby a triangular unstructured surface grid. The subsequent grid layers in theprismatic grid are marched away from the body by an algebraic procedurecombined with an optimization procedure, resulting in a semi-structured gridof prismatic cells. Adaptive computations using remeshing have been done with use of a gradientsensor. Several key-variables can be monitored simultaneously. The sensorindicates that only the key-variables with the largest gradients give a substantialcontribution to the sensor. The sensor gives directionally stretched grids. An algorithm for the surface definition of curved surfaces using a biharmonicequation has been developed. This representation of the surface canbe used both for projection of the new surface nodes in h-refinement, and theinitial generation of the surface grid. For unsteady flows an algorithm has been developed for the deformationof hybrid grids, based on the solution of the biharmonic equation for the deformationfield. The main advantage of the grid deformation algorithm is that itcan handle large deformations. It also produces a smooth deformation distributionfor cells which are very skewed or stretched. This is necessary in orderto handle the very thin cells in the prismatic layers. The algorithms have been applied to complex three-dimensional geometries,and the influence of the grid quality on the accuracy for a finite volumeflow solver has been studied for some simpler generic geometries. / QC 20100812
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