In order to reduce the influence, brought by the integrationof micro-grid, to distribution network, this paper established a multi-objective optimal operation model and determined the objective functions, which includ...
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ISBN:
(纸本)9781479950324
In order to reduce the influence, brought by the integrationof micro-grid, to distribution network, this paper established a multi-objective optimal operation model and determined the objective functions, which included the minimum sum of the expectation of the discarded solar and wind energy and the shaded load, as well as the minimum sum of the absolutevalue of the exchange power between the micro-grid and the distribution network. Thus the optimal initial state of charged of micro-grid as well as the 24 hours'optimal exchange power could be determined. Meanwhile the simulated calculation had been done in a certain micro-grid, including wind turbine, photovoltaic cell and battery, the results verified the effectiveness of the proposed model and optimization algorithm, and providing references to the practical engineering.
The transmission and conversion of torque is an important link in hybrid electric vehicles (HEV), which is related to the quality and driving experience of such vehicles. A new flux modulated dual-rotor permanent magn...
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The transmission and conversion of torque is an important link in hybrid electric vehicles (HEV), which is related to the quality and driving experience of such vehicles. A new flux modulated dual-rotor permanent magnet machine (FR-DRPM) is proposed in this paper for torque transmission. The topology and operating principle of the FM-DRPM are proposed and analyzed. Different combinations between the two rotors of the FR-DRPM are investigated to minimize the torque ripple and cogging torque based on finite-element analysis method. A 21/17 rotor pole machine is selected for the further optimization of torque performances. To better optimize the proposed machine, a new method combined with CatBoost and multiple objective particle swarm optimization (MOPSO) is presented. The results based on the proposed method are compared with traditional multipleobjective genetic algorithms to verify the properties of the new method. The optimization method is efficient and superior and the FR-DRPM has good torque transmission performance in HEV.
This article focuses on multiobjectiveoptimization in the design of bridges and viaducts. The problem is characterized as a multi-objectiveoptimization, with the objective functions being the construction cost, the ...
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This article focuses on multiobjectiveoptimization in the design of bridges and viaducts. The problem is characterized as a multi-objectiveoptimization, with the objective functions being the construction cost, the environmental impact (CO2 emissions) and the design service life. For optimization, three commonly used metaheuristics in structural optimization problems were tested: multiple objective particle swarm optimization (MOPSO), Nondominated Sorting Genetic Algorithm II (NSGA-II) and Strength Pareto Evolutionary Algorithm 2 (SPEA2). The results showed that MOPSO outperformed the other methods, achieving the highest hypervolume and Pure Diversity values. Once the best performing metaheuristic was defined, the calibration of the MOPSO parameters was then developed to improve the quality of the solutions found, reduce the execution time and increase the robustness of the algorithm. Using the Taguchi method with an orthogonal matrix consisting of 54 experiments, five parameters were evaluated at three different levels, totaling 270 analyses. The results indicated that parameter calibration led to an increase in the average hypervolume compared to the results before calibration. Moreover, the coverage of two sets revealed the superior performance of the calibrated set, demonstrating better trade-offs among the objective functions.
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