1,390 research outputs found

    A topological reconfiguration procedure for maximising local consumption of renewable energy in (Italian) active distribution networks

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    Distribution networks (DNs) are facing great changes, due to the strong increase in distributed generation (DG), often driven by renewable energy sources. Designed to deliver electrical power from the transmission system to the final consumers, they are now becoming active and may inject power into the transmission network. In case of large DN, a portion of the system can be absorbing power from the transmission grid, while another portion injects power into it. In order to satisfy the power balance as much as possible at the local level, the distribution system operators are interested in the minimisation of the power exchange with the transmission network, maximising the local consumption of DG energy. This paper presents a topological reconfiguration procedure, based on the branch exchange technique, for the maximisation of the local consumption of renewable energy. A case study is presented, based on a real DN located in northern Italy

    Comparison of artificial immune systems and genetic algorithms in electrical engineering optimization

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    Purpose - The purpose of this study is to investigate and compare the ability of a new optimization technique based on the emulation of the immune system to detect the global maximum with multimodal functions and to test the capability of exploring the parameter space with respect to clustering enhanced Genetic Algorithms (GA). Design/methodology/approach - Both algorithms have been tested on analytical test functions and on numerical functions of applicative interest. A set of performance criteria has been defined in order to numerically compare the performances of both optimization strategies. Findings - Results show the great ability of Artificial Immune Systems (AIS) in thoroughly exploring the space of variables. On the other side, GA are faster to converge to the global optimum, but selection pressure can reduce the number of detected local optima. Originality/value - This work is an attempt to assess the performances of a relatively new optimization algorithm based on AIS and to find its behavior on multimodal test functions, using GAs as reference optimization techniqu

    Natural Choice of Integration Surface for Maxwell Stress Tensor Computation

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    The integration of the Maxwell stress tensor is a widespread technique for the calculation of total force acting on a body. Notwithstanding this technique has been investigated for many decades, the optimal choice of the integration surface is still an open problem. The aim of this paper is to contribute to the discussion, presenting a method for the automatic generation of the integration surface based on the dual discretization. Some benchmarks are studied to provide numerical evidence of the accuracy of the force calculatio

    Scalar static hysteresis modeling for the material of active layer of high speed hysteresis micromotor

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    We present modeling of scalar static hysteresis of a semihard magnetic material for active layer of hysteresis micromotor with a hysteresis model based on nonlinear circuit cells. The identification of material cycle starts from symmetric hysteresis loop and gives good reconstruction of minor loops too. On the base of result from FEM analysis of magnetic field and with help of this model we reconstruct the hysteresis loops in rotor active layer using the Fixed-Point (FP) numerical technique and the H-scheme in one iterative procedur
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