{"title":"AC Chopper Harmonic Magnitudes in Narrowband Power Line Communication Frequencies","authors":"S. Yener, R. Mutlu","doi":"10.1109/SGCF.2019.8782433","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782433","url":null,"abstract":"Power Line Communication is becoming more common each passing day. Narrowband Power Line Communication systems use a frequency range from 3 kHz to 500 kHz. Nonlinear loads are common in residences and unfortunately they produce harmonics. It is possible that some harmonics produced by the nonlinear loads may interact with the power line communication system. AC dimmers produce impulse noise. In this study, Fourier series of an AC chopper is computed and its current harmonics magnitudes which is in Narrowband Power Line Communication frequencies are examined with and without a smoothing inductor. Their harmonic magnitudes in the power line communication frequencies are compared. It has been found that the smoothing inductor performs well to decrease the AC chopper harmonics within the Narrowband power line frequencies.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"19 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124400149","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":"Content-Based Publish/Subscribe Communication Model between IoT Devices in Smart City Environment","authors":"Fulya Ozturk, Ayse Meliha Ozdemir","doi":"10.1109/SGCF.2019.8782370","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782370","url":null,"abstract":"In recent years the population of the cities has been increasing the getting over half of the whole world population. These peoples are facing with some security and infrastructural needs. Some of these needs can be met with the use of some smart technologies such as Internet of Things Devices (IoT) with different types of sensors. Coordination and communication of these devices are very critical for enabling the digital solutions in a secure and comfortable city life. However, due to the restricted ability of these devices, setting up a flexible communication platform is a very challenging issue. In this paper for setting up the physical security of smart homes/buildings, a content-based publish-subscribe model is proposed by the use of wireless sensor network nodes in the critical environment. Due to the energy constraint of the devices, the broadcasting feature of the wireless communication is not used, instead of this a peer to a communication according to the content of the message is preferred. Experimental results showed that the proposed communication model can be applicable for smart city environments.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127020274","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":"Impact of Different Plug-in Electric Vehicle Categories on Distribution Systems","authors":"Hossam S. Salama, S. Said, I. Vokony, B. Hartmann","doi":"10.1109/SGCF.2019.8782335","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782335","url":null,"abstract":"In recent years, electric vehicles (EVs) have had a huge growth, which leads to decrease of the fuel consumption, emissions, and aid in keeping the clean environment but, this will have an effect on distribution systems operation if the plug-in vehicles are not managed. Therefore it is urgent to choose the ideal charging/discharging methods. This paper presents a comprehensive analysis of four scenarios for plug-in EVs to the distribution system. Firstly, base case, secondly, uncontrolled plug-in EVs charging, thirdly, controlled plug-in EVs charging, and fourthly controlled plug-in EVs charging/discharging. A fuzzy logic control (FLC) system is proposed to determine the charging/discharging priority level of each EV based on the associated state-of-charge (SOC) level of the battery and the electricity tariff. The fuzzy logic controller is used to control the EV charging/discharging process to achieve benefits for the electricity network and EVs owners, as well. The benefits for the electricity network are the improving voltage profile, potential shifting of charging to the off-peak period and discharging during the on-peak period to minimize the system loading. Benefits for EVs owners are the charging the EV at low cost and discharging at a high cost to motivate the EVs owners. A 400 V low voltage (LV) distribution network is selected as a case study in this paper to execute simulations. It is based on a real distribution network located in New Toshka city, Aswan, Egypt. MATLAB/SIMULINK is used to perform simulations and test the effectiveness of the proposed control method. The results demonstrate that the proposed controlled plug-in EVs charging/discharging method improves the distribution system performance more than other methods.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133574618","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":"Economic Dispatch Integrated Wind Power Using Coyote Optimization Algorithm","authors":"U. Güvenc, Enes Kaymaz","doi":"10.1109/SGCF.2019.8782354","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782354","url":null,"abstract":"Fossil fuels used in power system cause air pollution and global warming because of releasing greenhouse gases. Nowadays, renewable energy especially wind power has more widespread in power generation due to ecological concerns and increasing fuel prices. Therefore, it is presented the Economic Dispatch integrated wind power approach in this paper. However, wind power is stochastic because wind speed is uncertain in nature. Therefore Weibull Probability Density Function (PDF) and Incomplete Gamma Function (IGF) are used to estimating and modelling wind power. To solve the problem effectively, Coyote Optimization Algorithm (COA) is implemented to the problem and it was tested on various power system consisting thermal generator and wind power generator. Simulation results generated by COA are compared with other heuristic algorithm such as GA and PSO. It can be clearly seen that COA produces better results than GA and PSO.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133871149","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":"Zero Energy Trading Strategy for Enhancing Resilience of Networked Microgrids","authors":"Milad Mehri Arsoon, S. Tafreshi","doi":"10.1109/SGCF.2019.8782355","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782355","url":null,"abstract":"This paper proposes a zero electricity energy trading strategy in order to enhance the resilience of a distribution network with multiple microgrids (MGs) against extreme events. In some time intervals, the generation capacity of an MG may be higher than its consumption whereas in other intervals consumption may be exceeded of its maximum generation capacity. By adopting this strategy, MGs with surplus generation capacities can support other MGs to compensate their power deficiency. Each MG exchanges energy such that its exporting and importing energy be equal for a certain time period. The problem is formulated as a two-stage optimization problem in which each MG can selfishly and independently minimize its operating cost in a decentralized way. Numerical results demonstrate the effectiveness of the proposed method to enhance resilience without imposition extra cost to normal MGs.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132355988","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":"Short-term Load Forecasting in Grid-connected Microgrid","authors":"J. Izzatillaev, Z. Yusupov","doi":"10.1109/SGCF.2019.8782424","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782424","url":null,"abstract":"The integration of distributed energy resources (DER) into main grid need to consider the influence of many factors. One of them is the determination of electric load in Microgrid. Creating a feasible and efficient Microgrid based on the predicted power load is more relevant. The paper analyzes the forecasting of the electric energy consumption in Microgrids, analyzes the area of applicability, advantages and disadvantages of short-term forecasting methods of power consumption. Two methods - Group Method of Data Handling (GMDH) and Artificial Neural Networks (ANN) are used to determine short-term load forecasting.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134606252","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}
Danyang Han, Jinsong Yu, Yue Song, D. Tang, Jing Dai
{"title":"IEEE Copyright and Consent Form","authors":"Danyang Han, Jinsong Yu, Yue Song, D. Tang, Jing Dai","doi":"10.1109/sgcf.2019.8782367","DOIUrl":"https://doi.org/10.1109/sgcf.2019.8782367","url":null,"abstract":"To ensure uniformity of treatment among all contributors, other forms may not be substituted for this form, nor may any wording of the form be changed. This form is intended for original material submitted to the IEEE and must accompany any such material in order to be published by the IEEE. Please read the form carefully and keep a copy for your files.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124935061","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}
Alireza Esmaeili Karkevandi, Matin Jamaliyan Daryani, H. Seifi
{"title":"A Novel Adaptive Hierarchical Control Structure for Inverter Based DGs under Microgrid Dynamics","authors":"Alireza Esmaeili Karkevandi, Matin Jamaliyan Daryani, H. Seifi","doi":"10.1109/SGCF.2019.8782298","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782298","url":null,"abstract":"Microgrid is a distribution system consisted of loads and Distributed Generators (DGs) which are operating as a single power system to supply local area loads. DGs can provide various environmental and economical benefits but their presence in network poses great technical challenges in control, stability and protection sides which become a noticeable issues associated with the growing penetration of DGs in recent years. Power electronic interfaced DGs are of especial concern in microgrid control side as their control systems play a principal role in the DGs behaviors and subsequently microgrid stability. In this paper a hierarchical structure for multimode control system of inverter based DGs is presented which adaptively switches between Voltage Source Controller (VSC) and Current Source Controller (CSC) strictures according to network requirements during pre-and post-contingency conditions. The proposed system is communication based and assisted by Microgrid Central Controller (MGCC) as a tertiary control level through communication channels.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121183627","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":"Optimized Control and Power Sharing in Microgrid Network","authors":"M. S. Jouda, N. Kahraman","doi":"10.1109/SGCF.2019.8782374","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782374","url":null,"abstract":"The synchronization and power-sharing among parallel inverters beside the voltage stability and frequency are important functions to be achieved in the microgrid. This paper investigates power sharing and controller is applied to limit voltage and frequency deviation. The voltage and frequency stability can be improved using a droop control with optimization technique for power (active and reactive) sharing of parallel distributed generation (DG) units. Where conventional droop control is not accurate share of output current and power among inverters. Therefore, particle swarm optimization (PSO) is a smart control strategy to reduce the frequency and voltage deviation, reduce the harmonic current, and it can accurately power sharing with elimination a mismatched among inverters or DG. The results of the control strategies are verified in simulation using Matlab/Simulink.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122892696","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":"Security Constrained Unit Commitment Using Genetic Algorithm Based on Priority List Method with Fuel Constraint Consideration","authors":"Sarjiya, S. P. Hadi, P. H. Putra, Tumiran","doi":"10.1109/SGCF.2019.8782288","DOIUrl":"https://doi.org/10.1109/SGCF.2019.8782288","url":null,"abstract":"This paper presents genetic algorithm (GA) method development in solving security constrained unit commitment (SCUC). A complex problem occurs when network security constraint and fuel constraint are considered. A proper scheduling plan between unconstrained and constrained units is a must. SCUS problem solving is divided into two steps: unit commitment (UC) and optimal power flow (OPF). UC problem is solved by genetic algorithm based on priority list method. The solution produced from the UC then becomes the initial solution for OPF. Real coded genetic algorithm is used in solving OPF problem with generator status repair and dynamic modeling of fuel constraint. The proposed algorithm is applied on a modified IEEE 118-bus - gas power data system. The final solution of SCUC produced $10,514,820.64 or increased by 8.44% from UC. A dynamic modeling for fuel constraint could maintain fuel consumption while accommodating the constraint.","PeriodicalId":116136,"journal":{"name":"2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132822538","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}