Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646397
Essam Abdelwanees, Ashraf Diaa Bayoumy, A. Abdelaziz
The Consultative Committee for Space Data Systems (CCSDS) has issued data compression standards for multi-spectral images aimed to reduce the amount of data transmitted from Earth observation satellites (EOS) to ground stations. Confidentiality of compressed image assumed to be provided by Separate modules which consume mass, power and volume of the space craft. This paper investigate the possibility of applying joint encryption compression to protect compressed image during its transmission by randomized switching between two coding modes in the entropy coder stage of CCSDS-123 compression standard which achieves sufficient security without introducing much complexity to the compression algorithm or affecting compression performance.
{"title":"Secure Transmission of Space Images using Joint Encryption Compression","authors":"Essam Abdelwanees, Ashraf Diaa Bayoumy, A. Abdelaziz","doi":"10.1109/ITCE.2019.8646397","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646397","url":null,"abstract":"The Consultative Committee for Space Data Systems (CCSDS) has issued data compression standards for multi-spectral images aimed to reduce the amount of data transmitted from Earth observation satellites (EOS) to ground stations. Confidentiality of compressed image assumed to be provided by Separate modules which consume mass, power and volume of the space craft. This paper investigate the possibility of applying joint encryption compression to protect compressed image during its transmission by randomized switching between two coding modes in the entropy coder stage of CCSDS-123 compression standard which achieves sufficient security without introducing much complexity to the compression algorithm or affecting compression performance.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121228707","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}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646632
Morsy Nour, Abdelfatah Ali, C. Farkas
There is continuous and fast increase in electric vehicles (EVs) sales recently. These EVs are charged from the electric power system, usually at distribution networks which presents a challenge to distribution networks. This paper presents a study for mitigating the impacts of uncontrolled EV charging on low voltage (LV) distribution network supplying commercial consumers. For this purpose, decentralized photovoltaic (PV) generation is used. This study takes into account the current status of the distribution networks where there is no communication infrastructure or advanced metering infrastructure (AMI) devices present in the grid, neither is there a control center. Therefore, there is no coordination between the EV charging and PV generation. The transformer loading, cable loading, voltage profile at the furthest point from the transformer and daily energy losses are investigated for three operation scenarios. The first scenario is the original state (base case) of the LV distribution network which supplies only commercial consumers, and neither EVs nor PV generation is connected to it. In the second scenario EVs are connected to the network for charging. In the third scenario EVs are connected to the network for charging and PV generation is available. The study is performed using DIgSILENT Power Factory software. 24-hour time series simulations are executed with a load flow every 15 minutes. The results demonstrate that the decentralized PV generation can alleviate the impacts of uncontrolled EV charging on commercial LV distribution network.
近年来，电动汽车的销量持续快速增长。这些电动汽车从电力系统充电，通常在配电网，这对配电网提出了挑战。本文研究了电动汽车不受控制充电对商业用户供电的低压配电网的影响。为此，采用分散式光伏发电(PV)。本研究考虑了配电网中既没有通信基础设施，也没有高级计量基础设施(AMI)设备，也没有控制中心的现状。因此，电动汽车充电与光伏发电之间没有协调。研究了三种运行工况下变压器负荷、电缆负荷、离变压器最远点电压分布和日能量损耗。第一种情况是低压配电网的原始状态(基本情况)，该配电网只向商业用户供电，电动汽车和光伏发电都不接入。在第二种情况下，电动汽车连接到网络进行充电。在第三种情况下，电动汽车接入网络充电，光伏发电可用。该研究是使用DIgSILENT Power Factory软件进行的。24小时时间序列模拟每15分钟执行一次负荷流。结果表明，分散式光伏发电可以缓解电动汽车不可控充电对商业低压配电网的影响。
{"title":"Mitigation of Electric Vehicles Charging Impacts on Distribution Network with Photovoltaic Generation","authors":"Morsy Nour, Abdelfatah Ali, C. Farkas","doi":"10.1109/ITCE.2019.8646632","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646632","url":null,"abstract":"There is continuous and fast increase in electric vehicles (EVs) sales recently. These EVs are charged from the electric power system, usually at distribution networks which presents a challenge to distribution networks. This paper presents a study for mitigating the impacts of uncontrolled EV charging on low voltage (LV) distribution network supplying commercial consumers. For this purpose, decentralized photovoltaic (PV) generation is used. This study takes into account the current status of the distribution networks where there is no communication infrastructure or advanced metering infrastructure (AMI) devices present in the grid, neither is there a control center. Therefore, there is no coordination between the EV charging and PV generation. The transformer loading, cable loading, voltage profile at the furthest point from the transformer and daily energy losses are investigated for three operation scenarios. The first scenario is the original state (base case) of the LV distribution network which supplies only commercial consumers, and neither EVs nor PV generation is connected to it. In the second scenario EVs are connected to the network for charging. In the third scenario EVs are connected to the network for charging and PV generation is available. The study is performed using DIgSILENT Power Factory software. 24-hour time series simulations are executed with a load flow every 15 minutes. The results demonstrate that the decentralized PV generation can alleviate the impacts of uncontrolled EV charging on commercial LV distribution network.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121414514","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}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646383
S. M. Ali, A. Mohamed, A. Hemeida
This study focuses on developing a multi-objective framework to seek out the optimal Distributed Generations (DGs) placement and sizing in large scale distribution networks. Renewable energy resources like wind turbine (WT), photovoltaic (PV) are employed as resources of Distributed Generation (DG). The well known and Non-dominated Sorting Genetic (NSGA-III) Algorithm is implemented to handle various objective functions such as active power losses, voltage deviation and voltage stability index. The proposed method is tested on standard IEEE 118-bus radial distribution networks. The proposed algorithm is used a range of non-dominant Pareto-optimal solutions that are stored in the external archive and then the ‘best’ compromise solution is identified by fuzzy sets technique. The simulation results show that the proposed methodology ready to provide well distributed Pareto optimum solutions for the multi-objective optimal power flow problem. Furthermore, in order to validate the obtained results Multi-objective Dragonfly (MODA) algorithm is performed also and the simulation results of two algorithms are compared with each other
{"title":"A Pareto Strategy based on Multi-Objective for Optimal Placement of Distributed Generation Considering Voltage Stability","authors":"S. M. Ali, A. Mohamed, A. Hemeida","doi":"10.1109/ITCE.2019.8646383","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646383","url":null,"abstract":"This study focuses on developing a multi-objective framework to seek out the optimal Distributed Generations (DGs) placement and sizing in large scale distribution networks. Renewable energy resources like wind turbine (WT), photovoltaic (PV) are employed as resources of Distributed Generation (DG). The well known and Non-dominated Sorting Genetic (NSGA-III) Algorithm is implemented to handle various objective functions such as active power losses, voltage deviation and voltage stability index. The proposed method is tested on standard IEEE 118-bus radial distribution networks. The proposed algorithm is used a range of non-dominant Pareto-optimal solutions that are stored in the external archive and then the ‘best’ compromise solution is identified by fuzzy sets technique. The simulation results show that the proposed methodology ready to provide well distributed Pareto optimum solutions for the multi-objective optimal power flow problem. Furthermore, in order to validate the obtained results Multi-objective Dragonfly (MODA) algorithm is performed also and the simulation results of two algorithms are compared with each other","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121603677","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}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646631
A. Abdelhafez, A. Yousef
This paper highlights the basic concepts and advantages of More/All Electric Aircraft (MEA/AEA) in the area of aircraft industry. MEA is anticipated to optimize the aircraft performance, reduce the total cost and increase safety, reliability and robustness. The Combined Starter/Generator (CS/G) system is advised as a key technology to enable MEA/AEA. A detailed analysis for the performance requirements of CS/G system is carried out. A comparative study for different machine candidates for CS/G is proposed, while focusing on Fault-tolerance, reliability and robustness.
{"title":"Machine Topology for Integral Starter-Generator in More-Electric Aircraft","authors":"A. Abdelhafez, A. Yousef","doi":"10.1109/ITCE.2019.8646631","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646631","url":null,"abstract":"This paper highlights the basic concepts and advantages of More/All Electric Aircraft (MEA/AEA) in the area of aircraft industry. MEA is anticipated to optimize the aircraft performance, reduce the total cost and increase safety, reliability and robustness. The Combined Starter/Generator (CS/G) system is advised as a key technology to enable MEA/AEA. A detailed analysis for the performance requirements of CS/G system is carried out. A comparative study for different machine candidates for CS/G is proposed, while focusing on Fault-tolerance, reliability and robustness.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116976429","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}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646536
Esraa M. Abd Elsadek, H. Ashour, Ragy Ali Refaat, M. Mostafa
Electro-pneumatic systems are considered very important part in most of industrial application especially in production line. However these systems experiences loss in energy which consequently decrease the system efficiency. First step in energy saving is to choose the best components, then using suitable controller that has high response and reliability such as Programmable Logic Control (PLC). Also controlling mass flow that comes out from the compressor through motor performance variation. This control aims to reduce power consumption through the compressor. In this paper, a simple production line of filling water bottles is controlled by PLC. The system compressor is connected to Variable Frequency Driver (VFD). Pneumatic system is simulated in software called automation studio. VFD is simulated in MATLAB® Simulink and results are confirmed experimentally. Adding VFD improves the motor performance by increasing the torque and the speed while reducing the power consumption. VFD also can control the system productivity.
在大多数工业应用中，特别是在生产线上，电-气系统被认为是非常重要的组成部分。然而，这些系统经历能量损失，从而降低了系统效率。节能的第一步是选择最好的元件，然后使用合适的具有高响应和可靠性的控制器，如可编程逻辑控制(PLC)。也控制质量流量，从压缩机出来，通过电机性能的变化。该控制旨在通过压缩机降低功耗。本文用PLC控制了一条简单的瓶装水灌装生产线。系统压缩机已连接VFD (Variable Frequency Driver)。在自动化工作室软件中对气动系统进行仿真。在MATLAB®Simulink中对VFD进行了仿真，实验结果得到了验证。添加变频器通过增加扭矩和速度来改善电机性能，同时降低功耗。变频器还可以控制系统的生产效率。
{"title":"Efficiency Improvement and Saving Energy within Electro-Pneumatic System Using VFD : (case study: production line)","authors":"Esraa M. Abd Elsadek, H. Ashour, Ragy Ali Refaat, M. Mostafa","doi":"10.1109/ITCE.2019.8646536","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646536","url":null,"abstract":"Electro-pneumatic systems are considered very important part in most of industrial application especially in production line. However these systems experiences loss in energy which consequently decrease the system efficiency. First step in energy saving is to choose the best components, then using suitable controller that has high response and reliability such as Programmable Logic Control (PLC). Also controlling mass flow that comes out from the compressor through motor performance variation. This control aims to reduce power consumption through the compressor. In this paper, a simple production line of filling water bottles is controlled by PLC. The system compressor is connected to Variable Frequency Driver (VFD). Pneumatic system is simulated in software called automation studio. VFD is simulated in MATLAB® Simulink and results are confirmed experimentally. Adding VFD improves the motor performance by increasing the torque and the speed while reducing the power consumption. VFD also can control the system productivity.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127051927","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}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646645
M. Mohamed, M. Khafagy, Mohamed H. Ibrahim
Today’s Recommender system is a relatively new area of research in machine learning. The recommender system’s main idea is to build relationship between the products, users and make the decision to select the most appropriate product to a specific user. There are four main ways that recommender systems produce a list of recommendations for a user – content-based, Collaborative, Demographic and hybrid filtering. In content-based filtering the model uses specifications of an item in order to recommend additional items with similar properties. Collaborative filtering uses past behavior of the user like items that a user previously viewed or purchased, In summation to any ratings the user gave those items rate and similar conclusions made by other user’s items list. To predicts items that the user may find interesting. Demographic filtering is view user profile data like age category, gender, education and living area to find similarities with other profiles to get a new recommender list. Hybrid filtering combines all three filtering techniques. This paper introduces survey about recommendation systems, techniques, challenges the face recommender systems and list some research papers solve these challenges.
{"title":"Recommender Systems Challenges and Solutions Survey","authors":"M. Mohamed, M. Khafagy, Mohamed H. Ibrahim","doi":"10.1109/ITCE.2019.8646645","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646645","url":null,"abstract":"Today’s Recommender system is a relatively new area of research in machine learning. The recommender system’s main idea is to build relationship between the products, users and make the decision to select the most appropriate product to a specific user. There are four main ways that recommender systems produce a list of recommendations for a user – content-based, Collaborative, Demographic and hybrid filtering. In content-based filtering the model uses specifications of an item in order to recommend additional items with similar properties. Collaborative filtering uses past behavior of the user like items that a user previously viewed or purchased, In summation to any ratings the user gave those items rate and similar conclusions made by other user’s items list. To predicts items that the user may find interesting. Demographic filtering is view user profile data like age category, gender, education and living area to find similarities with other profiles to get a new recommender list. Hybrid filtering combines all three filtering techniques. This paper introduces survey about recommendation systems, techniques, challenges the face recommender systems and list some research papers solve these challenges.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127711098","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}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646453
Muhammad Elgamal, M. Fedawy
In this paper, we demonstrate, by using 2-D simulations, that with varying the gate-source overlap dielectric material and differential work function we can boost the maximum cutoff frequency, on/off ratio and the subthreshold swing of DGTFET. We show also that when the main gate dielectric is hafnium dioxide, the best matching source overlap material is silicon dioxide to achieve better performance. The effect of differential work function on all main device parameters is investigated at several source-overlap lengths and at several main gate work functions. For sake of ease of choice of best device performance, we use a relative figure-of-merit for each of the simulated devices and then target the optimization of this figure-of-merit. This approach facilitated the choice of optimum device in a large dataset as we encountered.
{"title":"Optimizing Gate-on-Source Overlapped TFET Device Parameters by Changing Gate Differential Work Function and Overlap Dielectric","authors":"Muhammad Elgamal, M. Fedawy","doi":"10.1109/ITCE.2019.8646453","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646453","url":null,"abstract":"In this paper, we demonstrate, by using 2-D simulations, that with varying the gate-source overlap dielectric material and differential work function we can boost the maximum cutoff frequency, on/off ratio and the subthreshold swing of DGTFET. We show also that when the main gate dielectric is hafnium dioxide, the best matching source overlap material is silicon dioxide to achieve better performance. The effect of differential work function on all main device parameters is investigated at several source-overlap lengths and at several main gate work functions. For sake of ease of choice of best device performance, we use a relative figure-of-merit for each of the simulated devices and then target the optimization of this figure-of-merit. This approach facilitated the choice of optimum device in a large dataset as we encountered.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127804180","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}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646549
M. Abdelwahab
Vehicle counting is considered one of the most important applications in traffic control and management. To count vehicles, synchronous vehicle detection and tracking should be carried out. Recently, detection via deep neural networks (DNN) has achieved good performance. However, exploiting the DNN efficiently for vehicle counting is still challenging. In this paper, an efficient approach for vehicle counting employing DNN and KLT tracker is proposed. To decrease the time complexity, vehicles are detected via DNN every N-frames, N=15 for example. Trajectories are extracted by tracking corner points through the N-frames. Then an efficient algorithm is introduced to assign unique vehicle labels to their corresponding trajectories. The proposed results, performed on diverse vehicle videos, show that vehicles are accurately tracked and counted whatever they are detected one or more times by the DNN.
{"title":"Accurate Vehicle Counting Approach Based on Deep Neural Networks","authors":"M. Abdelwahab","doi":"10.1109/ITCE.2019.8646549","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646549","url":null,"abstract":"Vehicle counting is considered one of the most important applications in traffic control and management. To count vehicles, synchronous vehicle detection and tracking should be carried out. Recently, detection via deep neural networks (DNN) has achieved good performance. However, exploiting the DNN efficiently for vehicle counting is still challenging. In this paper, an efficient approach for vehicle counting employing DNN and KLT tracker is proposed. To decrease the time complexity, vehicles are detected via DNN every N-frames, N=15 for example. Trajectories are extracted by tracking corner points through the N-frames. Then an efficient algorithm is introduced to assign unique vehicle labels to their corresponding trajectories. The proposed results, performed on diverse vehicle videos, show that vehicles are accurately tracked and counted whatever they are detected one or more times by the DNN.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121122098","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}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646589
Ahmed El Ghrabawy, M. Fedawy, Mohamed Elmahallawy
because of its high performance fiber optic gyroscopes demand growing up very fast. Most of applications require high precision at ultra-low rotation rates which makes it complicated and costly. The use of high resolution analog to digital converters (ADC) can solve this problem but with high implementation complexity and cost. In this paper we introduce a new and a simple processing unit to improve All Digital IFOG accuracy by replacing ordinary transimpedance amplifier (TIA) with True-log amplifier (TLA). Our results show that ADC bits can reduced by 30% and have the same output accuracy.
{"title":"Improvement of All Digital interferometer fiber optic gyroscope (IFOG) accuracy using True-Log amplifier","authors":"Ahmed El Ghrabawy, M. Fedawy, Mohamed Elmahallawy","doi":"10.1109/ITCE.2019.8646589","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646589","url":null,"abstract":"because of its high performance fiber optic gyroscopes demand growing up very fast. Most of applications require high precision at ultra-low rotation rates which makes it complicated and costly. The use of high resolution analog to digital converters (ADC) can solve this problem but with high implementation complexity and cost. In this paper we introduce a new and a simple processing unit to improve All Digital IFOG accuracy by replacing ordinary transimpedance amplifier (TIA) with True-log amplifier (TLA). Our results show that ADC bits can reduced by 30% and have the same output accuracy.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116176268","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}
Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646426
A. Saleh, A. Mohamed, A. Hemeida
In this paper, the performance of different optimization techniques namely, Moth Swarm Algorithm (MSA) and Whale Optimization Algorithm (WOA) are presented and compared for minimization of single and multi-objective namely, (total network power losses, and voltage deviation) in radial distribution systems by identify the Optimal Placement of Distributed Energy Resources (DER) together with capacitor (C). In this regard, multiple-DER units are analyzed under two load power factors (i.e., unity and optimal) with and without C. The proposed algorithms have been tested on the 33-bus radial distribution network. The performance of the different optimization algorithms has been compared with other evolutionary optimization technique under different system operating conditions. The simulation results observed the impact of integrating the proper size of DER at the suitable placement based on different techniques with and without C.
{"title":"Optimal Allocation of Distributed Generations and Capacitor Using Multi-Objective Different Optimization Techniques","authors":"A. Saleh, A. Mohamed, A. Hemeida","doi":"10.1109/ITCE.2019.8646426","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646426","url":null,"abstract":"In this paper, the performance of different optimization techniques namely, Moth Swarm Algorithm (MSA) and Whale Optimization Algorithm (WOA) are presented and compared for minimization of single and multi-objective namely, (total network power losses, and voltage deviation) in radial distribution systems by identify the Optimal Placement of Distributed Energy Resources (DER) together with capacitor (C). In this regard, multiple-DER units are analyzed under two load power factors (i.e., unity and optimal) with and without C. The proposed algorithms have been tested on the 33-bus radial distribution network. The performance of the different optimization algorithms has been compared with other evolutionary optimization technique under different system operating conditions. The simulation results observed the impact of integrating the proper size of DER at the suitable placement based on different techniques with and without C.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"445 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116585314","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}
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