13 Jul 2017
13:30
Great Hall
S4: Energy – Power Electronics and Smart Grid
| 1. Wind Turbine-Driven Self-Excited Induction Generator: A Novel Dynamic Model Including Stray Load and Iron Losses | ||
| Mateo Bašić, Dinko Vukadinović and Ivan Grgić (University of Split, Croatia) | ||
| In this paper, a novel dynamic model of a self-excited induction,generator (SEIG) is presented. In the proposed model, the fundamental,stray load and iron losses are accounted for in a way that preserves the,order of the conventional induction machine (IM) model. The,corresponding equivalent resistances are determined from the standard,tests. The SEIG has been considered as part of a wind conversion system.,On the simulation level, the proposed model’s performance has been,compared to that of the conventional model. In addition, it has been,experimentally validated by using two IMs of different efficiency class,,both rated 1.5 kW. | ||
| 2. Comparative Study Of Methodologies For The Estimation Of Chargeability Of Distribution Transformers | ||
| Diego Paul Chacon-Troya and Luis Geovanny Torres Jaramillo (Salesian Polytechnic University, Ecuador) | ||
| The overdimension of transformers in rural areas occurs very frequently,because the methodology for their designing is highly overestimated.,Which is why a comparative study of chargeability calculations of,transformers is performed, using data of consumption of connected,clients, field type data, and measurement by a FLUKE device. Statistics,that will allow an appreciation of the difference of values that are,estimated by each method in order to appreciate the result of,chargeability for both current and projected transformers, as well as,,the percentage of loss of life given the obtained values | ||
| 3. A Non Intrusive Low Cost Arduino-based Three Phase Sensor Kit for Electric Power Measuring | ||
| Andre Aquino, Randy Quindai, Charles Mariano and Heitor S. Ramos (Universidade Federal de Alagoas, Brazil); Joel J. P. C. Rodrigues (National Institute of Telecommunications (Inatel), Brazil and Instituto de Telecomunicações, Portugal) |
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| This article presents a kit to collect electric loads data, which,considers a device used to measure single monophasic data and a device,used to measure the input of three phase main power supply of the house.,To collect the data, we used current sensors where each of them,presents an open magnetic core to measure the electromagnetic field,induced by current in the electric conducting wire in a non intrusive,way. In particular, each sensor from the three phase device,wraps/encloses each phase without alignment. The data were analyzed for,validation.Initially, a statistical analysis of the data on the three,phase device was carried out, giving an error of $9,2\%$ constituted by,the noise of the sensors and Arduino which required a calibration for,the three phase device. This calibration was made by software. We will,present a method to calculate the neutral RMS without complex numbers.,Using ANOVA to analyze the data variance and post hoc Tukey’s multiple,comparison test to assert the differences, we managed to validate the,method, using a known power, this process is explained in details. Based,on our Kit, several applications can be developed, for example, energy,disaggregation or smart measure. | ||
| 4. Distribution Network Reconfiguration Using Hybrid Heuristic – Genetic Algorithm | ||
| Damir Jakus, Rade Čađenović, Mia Bogdanović and Petar Sarajcev (University of Split, Croatia); Josip Vasilj (University of Chalmers Gothenburg, Sweden) | ||
| This paper presents algorithm for optimal reconfiguration of,distribution networks using hybrid heuristic genetic algorithm.,Improvements introduced in this approach makes it’s suitable for,real-life networks with realistic degree of complexity and network size.,The algorithm introduces several improvements related to the generation,of initial set of possible solutions as well as crossover and mutation,steps in genetic algorithm. Since the genetic algorithms are often used,in distribution network reconfiguration problem, its application is well,known, but most of the approaches have very poor effectiveness due to,high level of individuals’ rejections not-fulfilling radial network,constraints requirements and poor convergence rate. One part of these,problems is related to ineffective creation of initial population,individuals. The other part of the problem in similar approaches is,related to inefficient operators implemented in crossover and mutation,process over created set of population individuals. The hybrid,heuristic-genetic approach presented in this paper provides significant,improvements in these areas. The presented algorithm can be used to find,optimal radial distribution network topology with minimum network,losses or with optimally balanced network loading. The algorithm is,rested on a real size network of city of Dubrovnik to identify the,optimal network topology after the interpolation (connection) of a new,supply point. | ||
| 5. Using Co-Simulation for the Integrated Planning and Analysis of Wide Area Measurement Systems | ||
| Halil Alper Tokel, Gholamreza Alirezaei, Thomas Salzmann and Rudolf Mathar (RWTH Aachen University, Germany) | ||
| The increasing penetration of measurement and communication,infrastructures in power grids have led to the development of new,applications and use cases in the utility sector, such as demand side,management and virtual power plants. The success of such applications,,however, depend on a proper interplay of the underlying communication,network and the power grid. For this reason, integrated planning,approaches for the extension of measurement and communication,infrastructures in the power grids have recently been a hot research,topic. Although such planning techniques are of crucial significance for,an optimum network design satisfying the requirements of both the power,system and the communication network, a simulative performance analysis,must accompany the planning process. Therefore, in this work we present,a co-simulation environment and tool chain to enable integrated,planning and subsequent performance analysis of a wide area measurement,system. As an example use case, the proposed environment is used to,investigate the accuracy of phasor measurement unit-based linear state,estimation techniques for IEEE 14-bus test network under several,communication network scenarios. | ||
| 6. A Gamified Platform for Energy Feedback and Usage Forecastings | ||
| Amr Diab, Mina Zeidan, Nada Sharaf, Slim Abdennadher (The German University in Cairo, Egypt) | ||
| The current energy consumption behaviour of mankind is causing results that are more catastrophic than just draining the resources of Earth. These results can be seen in the global warming and environmental damage in many places. All these problems serve as an indication for the need of a better conservative and sustainable behaviour. Based on the observed value of both feedback and serious games in such an issue, an attempt was made to combine these two elements together. The work presented in this paper presents the procedure of building a gamified energy feedback platform. In addition, a forecasting algorithm based on machine learning techniques was implemented in order to predict the future energy usage of the user. |