Krisztina Monika Leban

New low cost structure for dual axis mount solar tracking system using adaptive solar sensor

A solar tracking system is designed to optimize the operation of solar energy receivers. The objective of this paper is proposing a new tracking system structure with two axis. The success strategy of this new project focuses on the economical analysis of solar energy. Therefore it is important to determine the most cost effective design, to consider the costs of production and maintenance, and operating. The proposed tracking system uses a new solar sensor position with an adaptive feature.

Optimal design of the transverse flux machine using a fitted genetic algorithm with real parameters

This paper applies a fitted genetic algorithm (GA) to the optimal design of transverse flux machine (TFM). The main goal is to provide a tool for the optimal design of TFM that is easy to use. The GA optimizes the analytic basic design of two TFM topologies: the C-core and the U-core. First, the GA was designed with real parameters. An, objective of the fitted GA is minimization of the computation time, related to the number of individuals, the number of generations and the types of operators and their specific parameters.

New balancing equipment for mass production of small and medium-sized electrical machines

The level of vibration and noise is an important feature. It is good practice to explain the significance of the indicators of the quality of electrical machines. The mass production of small and medium-sized electrical machines demands speed (short typical measurement time), reliability of measurement, easy use and low cost. This paper proposes a new low cost equipment able to provide required performances.

Grid connection rules for electric cars integrated as virtual power plant in smart grids

This paper reviews the situation of V2G and proposes a solution involving a consolidating fleet manager, and a decision making process for the individual V2G electric car owner. A grid connection routine for electric vehicles is proposed. The algorithm dealing with decisions to be taken in foreseen circumstances is presented. Variables and rules employed used in the grid connection control are detailed. Definitions of terms are stated to clarify the functionality of the algorithm.

A comparison between two optimized TFPM geometries for 5 MW direct-drive wind turbines

This paper presents the method and result of optimizing a 5MW Transverse Flux Permanent Magnet (TFPM) generator using a genetic algorithm method. Because the main disadvantage of a TFPM generator is the price, a reduction in costs has to be considered in order to make it more attractive for the industry. The approach presented in this paper focuses on a reduction in mass of active materials, which constitute the generator, because the price of the machine is in direct relation with the amount of materials used for the construction. This strategy is applied for two types of TFPM geometries in order to asses which behaves better when subjected to optimization and which provides the best result. In order to obtain the mass of active materials the entire analytical design has to be covered, making the analytical design to behave as a cost function for the optimization program. The innovation presented by this article consists on the fact that an optimization algorithm is constructed to be capable of solving any kind of cost function, even entire design procedures, as it is presented here.

Modeling of electric vehicle battery for vehicle-to-grid applications

Electric vehicle battery models are essential when performing analysis of EV systems. The battery package of electric vehicles is complicated and unpredictable because of its chemical based functioning. In this paper, a battery model is presented with a number of internal and external factors taken into account, including temperature, age and wear.

A new geometrical construction using rounded surfaces proposed for the transverse flux machine for direct drive wind turbine

This paper proposes a new construction for transverse flux machines (TFM) using a rounded surfaces core geometry. The new concept has been developed for TFM with U core geometry. In this case a new analytic design procedure was proposed. The analytic design of the new TFM construction is further improved by FEM modelling and analysis. Using the new concept, a significant reduction of the active materials is obtained. The innovative geometry also provides a uniform magnetic field in the core structure. According to the comparison of both the TFM with prismatic and rounded core geometries the new proposed concept is more attractive for the direct-drive wind turbine application.

Alternative parameter determination methods for a PMSG

One of the fundamental requirements for testing and analysing a Permanent Magnet Synchronous Generator (PMSG) is to obtain its electrical and mechanical parameters. This paper describes the test set up and the procedure for obtaining them. Stator resistance and flux linkage measurements follow IEEE standards. In the other hand a new approach for an alternative stator inductance and inertia measurement is analysed. More precisely, the former is obtained through laboratory work based on the locked rotor test, and the latter through a CAD software based on a 3D model. In order to assess and validate the obtained values, an electromechanical model is derived for validation and contribution of the whole project. Finally, small relative errors between measured and simulated values indicate the functionality of the used methods and of the machine.

Direct drive TFPM wind generator analytical design optimised for minimum active mass usage

The paper focuses of the Transverse Flux Permanent (TFPM) Generator as a solution for offshore direct drive wind turbines. A complex design algorithm is presented. Two topologies (U core and C core) of TFPM were considered. The analytical design is optimised using a combination of genetic algorithms and three dimensional finite element (FEM) analyses to obtain a minimum active mass for the generator.

Torque optimization algorithm for SRM drives using a robust predictive strategy

This paper presents a new torque optimization algorithm to maximize the torque generated by an SRM drive. The new algorithm uses a predictive strategy. The behaviour of the SRM demands a sequential algorithm. To preserve the advantages of SRM drives (simple and rugged topology) the new algorithm uses a predictive strategy. This predictive strategy complies with the sequential operation of SRM. The new algorithm involves a low cost implementation and works with both sensor based and sensorless rotor position measurement techniques. The code used for the application is presented in the appendix.