Current Issue : October - December Volume : 2019 Issue Number : 4 Articles : 5 Articles
With the continuous development and progress of science and technology in China,\nautomation technology has occupied an important position in many fields while\nits application in power system is increasingly widespread. Therefore, the application\nof electrical automation technology in power system is of great significance\nfor power supply stability and work efficiency. In this paper, the author analyzes\nthe application of electric automation technology in power system and makes\ncontributions to the sustainable and stable development of power enterprises....
Nowadays, microgrids are gaining importance in electric power generation and distribution\nenvironments due to their flexibility, versatility, scalability and the possibility of supplying ancillary\nservices when connected to the grid. They allow for the customization of electric supply for very\ndifferent types of consumers. Therefore, a new control model for power and energy management\nbased on homeostaticity of electric power systems (EPS) is presented, which has been already analyzed\nand approved by ENEL Chile in its developmental stage. ENEL, the largest electric utility in the\ncountry, is interested in incorporating smart microgrids in the electricity distribution market, as part of\na worldwide policy. Such microgrids are to be installed in buildings serviced by ENEL. To demonstrate\nthe modelâ??s utility, a Simulink model of a real microgrid is used, which is comprised of PV generation,\nenergy storage, an air conditioning (AC) equipment and thermal storage of the building upon which\nthe microgrid is installed. The behavior of every element is simulated, including the dynamic\nthermal model of the building in order to optimize energy management and power supply versus\nconsumption. The behavior of the whole system is analyzed under different environmental profiles\nand energy consumption patterns using the proposed homeostaticity system....
State of charge (SOC) estimation of lithium batteries is one of the most important\nunresolved problems in the field of electric vehicles. Due to the changeable working environment\nand numerous interference sources on vehicles, it is more difficult to estimate the SOC of batteries.\nParticle filter is not restricted by the Gaussian distribution of process noise and observation noise,\nso it is more suitable for the application of SOC estimation. Three main works are completed in this\npaper by taken LFP (lithium iron phosphate) battery as the research object. Firstly, the first-order\nequivalent circuit model is adapted in order to reduce the computational complexity of the\nalgorithm. The accuracy of the model is improved by identifying the parameters of the models\nunder different SOC and minimum quadratic fitting of the identification results. The simulation on\nMATLAB/Simulink shows that the average voltage error between the model simulation and test\ndata was less than 24.3 mV. Secondly, the standard particle filter algorithm based on SIR (sequential\nimportance resampling) is combined with the battery model on the MATLAB platform, and the\nestimating formula in recursive form is deduced. The test data show that the error of the standard\nparticle filter algorithm is less than 4% and RMSE (root mean square error) is 0.0254. Thirdly, in\norder to improve estimation accuracy, the auxiliary particle filter algorithm is developed by\nredesigning the importance density function. The comparative experimental results of the same\ncondition show that the maximum error can be reduced to less than 3.5% and RMSE is decreased to\n0.0163, which shows that the auxiliary particle filter algorithm has higher estimation accuracy....
The purpose of this paper is to study the energy efficiency of a local living\nspace exposed to solar radiation in the subtropical climate of Casablanca. The\nstudy was mainly focused on the contribution of a phase change material\n(PCM), inserted into a 7-cm thick air layer of a double brick wall, in two different\nlocations. We note that the experimental study was conducted using\ntwo real-scale test cavities, located in the Faculty of Science Ain\nChock-Casablanca. Two PCM mounting methods were used for the south\nand west walls, in order to test its energy efficiency as a storage and retrieval\nmeans of the solar flux coming from the outside. In the case of the southern\nwall, the PCM is put directly on the internal side of the outside part of the\ndouble wall (Case 1). For the west wall, the PCM is placed 1.2 cm away from\nthe internal side of the outer part of the double wall (Case 2). The first result\nshows that the PCM placed to the wall allows storing the solar heat during the\nday and releasing it to the outside of the building at night. While in the\nsecond case, the PCM keeps the heat stored day and night....
The interest in biofuels was stimulated by the fossil fuel depletion and global\nwarming. This work focuses on the impact of biodiesel fuel on ethanol/diesel (ED) fuel blends.\nThe soybean methyl ester was used as a representative composition of typical biodiesel fuels.\nThe heating and evaporation of ethanol-biodiesel-diesel (EBD) blends were investigated using the\nDiscrete-Component (DC) model. The Cetane Number (CN) of the EBD blends was predicted based\non the individual hydrocarbon contributions in the mixture. The mixture viscosity was predicted using\nthe Universal Quasi-Chemical Functional group Activity Coefficients and Viscosity (UNIFAC-VISCO)\nmethod, and the lower heating value of the mixture was predicted based on the volume fractions and\ndensity of species and blends. Results revealed that a mixture of up to 15% biodiesel, 5% ethanol, and\n80% diesel fuels had led to small variations in droplet lifetime, CN, viscosity, and heating value of\npure diesel, with less than 1.2%, 0.2%, 2%, and 2.2% reduction in those values, respectively....
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