M. Nagib, Mahmoud M. Othman, Adel A. Naiem, Y. Hegazy
{"title":"Invasive weed optimization algorithm for solving economic load dispatch","authors":"M. Nagib, Mahmoud M. Othman, Adel A. Naiem, Y. Hegazy","doi":"10.1109/EEEIC.2016.7555491","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555491","url":null,"abstract":"The economic load dispatch problem is an online optimization problem to calculate the minimal fuel cost for each power generator under load constraints. At first, the classical methods such as lambda iteration and non-linear programming were used to solve the economic load dispatch problem. Although of their accuracy, these methods are time consuming. Meta-heuristic algorithms such as Particle swarm optimization, Ant colony and Genetic algorithms give better solution while their running time is longer. The hybrid models, by combining two different algorithms, were experimented to get benefits of both mentioned methods. In this paper, a novel algorithm based on invasive weed optimization method is used to solve the economic load dispatch problem under generation and load constraints in order to overcome drawbacks of previous techniques. The proposed algorithm is implemented in MATLAB environment and tested on a 3-units power system. Different test cases are proposed and the results show the efficiency and accuracy of the proposed algorithm in solving the economic dispatch problem.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127589121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. D'Urso, A. Giarratana, P. Lazzeroni, Enrico Pons, Maurizio Repetto, L. Spairani, L. Vandoni, G. Zamboni
{"title":"An optimization and management tool for complex multi-generation systems","authors":"F. D'Urso, A. Giarratana, P. Lazzeroni, Enrico Pons, Maurizio Repetto, L. Spairani, L. Vandoni, G. Zamboni","doi":"10.1109/EEEIC.2016.7555543","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555543","url":null,"abstract":"Multi-generation systems where different energy vectors are interacting, should be controlled in an optimal way, minimizing their operational cost. This paper presents a web-based software tool for the management and optimization of such systems. The presented tool incorporates an optimization core, a graphical user interface, a module for the acquisition of field data and graphic reporting features. In this paper the different components of the tool are presented. The optimization tool is then applied to a real test case and the results are discussed.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131076518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An improved modelling and construction of power transformer for controlled leakage inductance","authors":"M. Abu Bakar, K. Bertilsson","doi":"10.1109/EEEIC.2016.7555605","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555605","url":null,"abstract":"In this work, a transformer with increased leakage inductance for the soft switched power applications is presented as a practical solution by constructing a transformer with good control over the leakage inductance. An analytical reluctance based model is presented, which accurately predicts the leakage inductance. With the presented approach, a transformer is designed with a leakage inductance varying between 3-7μH. Increasing the efficiency and improving the power density has been the main focus of power electronics researchers in the recent years. In this regards, transformers with increased leakage inductance are becoming more popular in order to accomplish different soft switching concepts and for improving the power density.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132891709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An approximated multi-state model for reliability evaluation of renewable generation","authors":"Kunjana Chaiamarit, S. Nuchprayoon","doi":"10.1109/EEEIC.2016.7555667","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555667","url":null,"abstract":"Reliability evaluation of power generation system is complicated with the integration of renewable sources, especially wind turbine and photovoltaics, whose generation characteristics are intermittent and time-varying. The concept of equivalent forced outage rate is conventionally utilized to simplify the computation burden. It is proposed to apply a multi-state model to express the variable generation of renewable sources. Number of de-rated states and corresponding de-rated capacities can be simplified by considering the plant factor. It is claimed that a number of certain capacity states may be neglected. Generation system reliability may be evaluated using two classical indices: loss of load probability and expected energy not supplied.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131755268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlos L. B. Silva, Diogo N. Oliveira, T. Pires, J.W.L. Nerys, P. H. S. Barbosa, W. Calixto, A. Alves
{"title":"Optimization of grounding grid's multidesign geometry","authors":"Carlos L. B. Silva, Diogo N. Oliveira, T. Pires, J.W.L. Nerys, P. H. S. Barbosa, W. Calixto, A. Alves","doi":"10.1109/EEEIC.2016.7555575","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555575","url":null,"abstract":"This paper deals with the optimization of grounding grids geometry. The goal is to reduce the amount of material to deploy a grounding grid, while keeping the system security. The touch voltages, step voltages, GPR and ground resistance are parameters of grounding grids and are related to safety aspect. Also discussed is a genetic algorithm used for optimizing ground grids, which can assume any form in a limited space of the project. The simulation is based in images method. The results are presented and discussed.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"120 27","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131912415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A comparative study of centralized and decentralized active power control in residential energy districts","authors":"P. Santoro, V. Calderaro, V. Galdi, A. Piccolo","doi":"10.1109/EEEIC.2016.7555672","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555672","url":null,"abstract":"In this paper, a decentralized voltage control service for the distribution system operator (DSO) is proposed and a comparison with a centralized strategy, such as the conservation voltage control (CVR) technique is presented. The service is designed to provide short term power reserve to the grid and it implements a local voltage-led demand response. The proposed service manages residential units' power demand by regulating the household devices' main voltages in a local way instead of changing the secondary voltage of the medium voltage/low voltage (MV/LV) transformer. The proposed service allows having a wider voltage regulation range, overcoming the CVR limits due to voltage violations at the end of the feeders. In order to analyze the decentralized control impact in terms of maximum control range available on the LV distribution grid, a simulation set based on OpenDSS and MATLAB is carried out. The results are compared with those obtained by using the CVR technique in order to highlight the advantages provided by the proposed solution.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127390554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Drive system of IPMSM with bidirectional DC/DC converter for battery-powered electric vehicles","authors":"A. Omara, M. Sleptsov","doi":"10.1109/EEEIC.2016.7555816","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555816","url":null,"abstract":"This paper presents an electric propulsion system (EPS) for a battery-powered electric vehicle (EV). The drive system of interior permanent magnet synchronous motor (IPMSM) with an interleaved bidirectional DC/DC converter is implemented. The three-phase voltage source inverter (VSI) is controlled using a space vector modulation (SVM) based on direct torque control (DTC) technique. Voltage and current control schemes are applied to regulate the DC-link voltage and maintain current sharing between DC/DC converter modules respectively. The performance of the proposed EPS is verified and discussed based on obtained simulation results.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115334795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Technologies, feasibility, and management strategies for on-board multi-source energy networks","authors":"Sanjana Ahmed, A. Castellazzi, Arthur Williams","doi":"10.1109/EEEIC.2016.7555683","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555683","url":null,"abstract":"The paper discusses the feasibility of installing renewable energy generation technologies on sea-going transport, taking into account the additional weight and power consumption. This study in based on the power management of a 26,198 tonne commercial chemical tanker. The management system would aim at reducing the number of generators as well as the power required from burning fossil fuels. After a process of elimination of potential technologies based on feasibility of the project and shipboard application, the work is focused towards photovoltaic and wind energy generation in combination with fossil fueled engines and Li-ion battery storage covering the higher energy density needs, and the intermittent nature of renewables. The network architecture is optimized in order to have the highest efficiency, and reduced system weight. The results show that successful management of the system can lead to reduction in generator requirement, as well as fuel consumption and energy despite the weight of the extra installation.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115579290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal storage operation in EV charging stations delivering grid services","authors":"S. Barsali, R. Giglioli, G. Lutzemberger, D. Poli","doi":"10.1109/EEEIC.2016.7555542","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555542","url":null,"abstract":"This paper presents criteria for the optimal operation of an EV charging station, capable of providing the grid with regulation services such as frequency and voltage control, peak shaving, and load leveling. The presence of an additional storage device connected to the charging station is investigated; both configurations are analyzed in which the storage device of each vehicle contributes to such services and in which the charging profile is independently imposed by the vehicle charging control system.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115702411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simulation of a ESS in a prosumer power-plant with a PV system and an EV charging station","authors":"R. Araneo, M. Falvo","doi":"10.1109/EEEIC.2016.7555861","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555861","url":null,"abstract":"In the modern distributed generation scenario, the installation of domestic-scale energy generation systems has dramatically growth, raising a number of problems on both the prosumer and distribution sides whose solution calls for new concepts of demand-side energy management of smart grids. These new strategies require an improved smartness of the distribution networks, but also encourage customers not only to participate in energy generation but also in an efficient electricity consumption. The widespread penetration of energy storage systems (ESS) at the domestic domestic level could be an important step toward the application of modern strategies which incentivate energy consumption/production scheduling games. In this paper we develop a Matlab model to simulate the behaviour of a prosumer with a domestic-rated photovoltaic (PV) system, a battery ESS and an electric vehicle (EV) charging station. Simulation results confirm the effectiveness of the ESS in reducing the energy exchanged with the grid as well consumer daily electricity charges.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114541576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}