Pub Date : 2019-02-01DOI: 10.1109/KBEI.2019.8735079
Mana Hoseinzadeh, R. Ebrahimi, H. M. Kojabadi
In this paper, a novel topology of DC-DC converter with a high voltage gain is presented which is suitable for photovoltaic applications. In the proposed converter a coupled inductor with diode-capacitor cell for increasing the voltage gain is used. Moreover, the leakage energy is efficiently recycled to the output by the diode and capacitor. The proposed converter can achieve higher voltage gain with small duty cycle. The operational principles, steady state analysis and simulation and experimental verifications in continuous condition modes are presented in this paper.
{"title":"A Cascade High Gain DC-DC Converter Employing Coupled Inductor and Diode Capacitor","authors":"Mana Hoseinzadeh, R. Ebrahimi, H. M. Kojabadi","doi":"10.1109/KBEI.2019.8735079","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735079","url":null,"abstract":"In this paper, a novel topology of DC-DC converter with a high voltage gain is presented which is suitable for photovoltaic applications. In the proposed converter a coupled inductor with diode-capacitor cell for increasing the voltage gain is used. Moreover, the leakage energy is efficiently recycled to the output by the diode and capacitor. The proposed converter can achieve higher voltage gain with small duty cycle. The operational principles, steady state analysis and simulation and experimental verifications in continuous condition modes are presented in this paper.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"323 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":"122741254","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/KBEI.2019.8735025
J. S. Farkhani, M. Zareein, H. Soroushmehr, H. Sieee
Distributed Generations (DGs) are small power sources in distribution network to provide reliable and economic to residential areas or suburb areas. The relay protection has an important role to protect a power system from different faults. Coordination of relay protection minimizes the operating time of relays and prevents mal-operation.The Directional Overcurrent Relays (DOR) are used for the protection of the radial distribution network with embedded DG. This paper presents coordination of the directional overcurrent taking into account faults in different places of the power system. The setting of directional overcurrent relay has two parts, i.e., an overcurrent relay and directional element. The coordination of overcurrent relay is based on the operation of relay and time-current characteristic curve.The case study is based on a real distribution network that consists of two CHP generators with 3 MW capacity, and the simulation is performed in ETAP software.
{"title":"Coordination of Directional Overcurrent Protection Relay for Distribution Network With Embedded DG","authors":"J. S. Farkhani, M. Zareein, H. Soroushmehr, H. Sieee","doi":"10.1109/KBEI.2019.8735025","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735025","url":null,"abstract":"Distributed Generations (DGs) are small power sources in distribution network to provide reliable and economic to residential areas or suburb areas. The relay protection has an important role to protect a power system from different faults. Coordination of relay protection minimizes the operating time of relays and prevents mal-operation.The Directional Overcurrent Relays (DOR) are used for the protection of the radial distribution network with embedded DG. This paper presents coordination of the directional overcurrent taking into account faults in different places of the power system. The setting of directional overcurrent relay has two parts, i.e., an overcurrent relay and directional element. The coordination of overcurrent relay is based on the operation of relay and time-current characteristic curve.The case study is based on a real distribution network that consists of two CHP generators with 3 MW capacity, and the simulation is performed in ETAP software.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"9 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":"131499425","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/KBEI.2019.8734933
Seyedeh Shaghayegh Sadeghi, M. Keyvanpour
Computational Drug repurposing is the problem of finding new uses for known drugs. To achieve this goal, a significant number of computational methods have been proposed, which can be categorized as Network-based and Non-network-based methods. Since network-based methods have a lot of advantages, this problem can be modelled as a network-based recommendation system. In this paper, we propose an effective approach, RCDR (Recommender Based Computational Drug Repurposing), to prioritize candidate drugs for diseases. Initially, we use drug and disease similarities to build a new drug-disease score matrix. Then, we adopt a collaborative filtering model to recommend which disease can be treated by the new drug. The experiment results show that RCDR proposes well performance compared with other state-of-the-art approaches.
{"title":"RCDR: A Recommender Based Method for Computational Drug Repurposing","authors":"Seyedeh Shaghayegh Sadeghi, M. Keyvanpour","doi":"10.1109/KBEI.2019.8734933","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8734933","url":null,"abstract":"Computational Drug repurposing is the problem of finding new uses for known drugs. To achieve this goal, a significant number of computational methods have been proposed, which can be categorized as Network-based and Non-network-based methods. Since network-based methods have a lot of advantages, this problem can be modelled as a network-based recommendation system. In this paper, we propose an effective approach, RCDR (Recommender Based Computational Drug Repurposing), to prioritize candidate drugs for diseases. Initially, we use drug and disease similarities to build a new drug-disease score matrix. Then, we adopt a collaborative filtering model to recommend which disease can be treated by the new drug. The experiment results show that RCDR proposes well performance compared with other state-of-the-art approaches.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"9 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":"131706922","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/KBEI.2019.8735015
Meysam Azimi Roein
Two ultra wideband low noise amplifiers (LNAs) are presented. A common source topology is adopted for input stage to achieve wideband input matching, while a cascode stage is used as the second stage to provide power gain at high frequencies. The first work is common source with a reuse PMOS current source. It achieves a maximum power gain of 15.2dB and 3.7dB minimum NF. The power consumption is 16 mW from a 1.8 v supply. The second work is current reused technique that we use an NMOS replacing the feedback resistance to achieve flat gain. It achieves a maximum power gain of 10.5dB and 2.7dB minimum NF.
{"title":"Design and analysis of a 3.1–10.6 GHz UWB low noise amplifier with current reused technique","authors":"Meysam Azimi Roein","doi":"10.1109/KBEI.2019.8735015","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735015","url":null,"abstract":"Two ultra wideband low noise amplifiers (LNAs) are presented. A common source topology is adopted for input stage to achieve wideband input matching, while a cascode stage is used as the second stage to provide power gain at high frequencies. The first work is common source with a reuse PMOS current source. It achieves a maximum power gain of 15.2dB and 3.7dB minimum NF. The power consumption is 16 mW from a 1.8 v supply. The second work is current reused technique that we use an NMOS replacing the feedback resistance to achieve flat gain. It achieves a maximum power gain of 10.5dB and 2.7dB minimum NF.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"4 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":"114408428","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/KBEI.2019.8734991
M. Abasi, Ahmad Torabi Farsani, A. Rohani, Mohsen Aghazadeh Shiran
This paper presents a fuzzy logic-based algorithm to improve the performance of the differential relay in short transmission line protection for Cross-Country faults. This type of faults leads to the malfunction of current differential relays, while the probability of the relay performance error becomes negligible by using a fuzzy logic system along with the changes in per-unit values and the slope of the differential relay, and consequently choosing the best stability characteristics. In the proposed algorithm, the sensitivity, operation reliability, and performance speed for several types of faults including internal faults and even the high-resistive faults are maintained in the satisfactory levels. The algorithm is also suitable for external faults with the saturation of current transformers (CTs), and it improves the relay performance. The effectiveness of the algorithm is verified in EMTDC/PSCAD software program, and the obtained results are compared with those of conventional methods.
{"title":"Improving Differential Relay Performance during Cross-Country Fault Using a Fuzzy Logic-based Control Algorithm","authors":"M. Abasi, Ahmad Torabi Farsani, A. Rohani, Mohsen Aghazadeh Shiran","doi":"10.1109/KBEI.2019.8734991","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8734991","url":null,"abstract":"This paper presents a fuzzy logic-based algorithm to improve the performance of the differential relay in short transmission line protection for Cross-Country faults. This type of faults leads to the malfunction of current differential relays, while the probability of the relay performance error becomes negligible by using a fuzzy logic system along with the changes in per-unit values and the slope of the differential relay, and consequently choosing the best stability characteristics. In the proposed algorithm, the sensitivity, operation reliability, and performance speed for several types of faults including internal faults and even the high-resistive faults are maintained in the satisfactory levels. The algorithm is also suitable for external faults with the saturation of current transformers (CTs), and it improves the relay performance. The effectiveness of the algorithm is verified in EMTDC/PSCAD software program, and the obtained results are compared with those of conventional methods.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"255 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":"114446428","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}
in wireless sensor network, sensor nodes are prone to failure due to different reasons such as environmental impact, radio interference and battery depletion, thus it is extremely vital to integrate an effective fault tolerance method within the network. Furthermore, selection of an optimal path for transmitting sensed data to the base station is significant. This paper presents a new method called optimal relay node selection, which selects two optimal relay nodes based on residual energy, failure probability, distance to relay node and total distance to base station for every collector node. Analytic hierarchy process method was used to determine the weights of relay nodes and Promethee method was used for outranking them. Furthermore, when a primary relay node fails, this method selects the secondary for providing fault tolerance against path failure. The results show that the proposed method outperforms existing algorithms in terms of First Relay Node Dead, Half Relay Node Alive, energy efficiency and throughput.
{"title":"A new optimal relay nodes selection method for wireless sensor networks","authors":"Gholamreza Kakamanshadi, Savita Gupta, Sukhwinder Singh","doi":"10.1109/KBEI.2019.8735069","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735069","url":null,"abstract":"in wireless sensor network, sensor nodes are prone to failure due to different reasons such as environmental impact, radio interference and battery depletion, thus it is extremely vital to integrate an effective fault tolerance method within the network. Furthermore, selection of an optimal path for transmitting sensed data to the base station is significant. This paper presents a new method called optimal relay node selection, which selects two optimal relay nodes based on residual energy, failure probability, distance to relay node and total distance to base station for every collector node. Analytic hierarchy process method was used to determine the weights of relay nodes and Promethee method was used for outranking them. Furthermore, when a primary relay node fails, this method selects the secondary for providing fault tolerance against path failure. The results show that the proposed method outperforms existing algorithms in terms of First Relay Node Dead, Half Relay Node Alive, energy efficiency and throughput.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"23 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":"124033608","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/KBEI.2019.8735055
Iman Sohrabi Chafjiri, M. Aghamohammadi, Hamid Gholipour Golroudbari
In this paper, identification of parameters of induction motors using the Wiener-Hemerstein structure based on the colony helix algorithm. Identifying the system is actually finding a mathematical model of dynamical systems from input-output data, the results of experiments, and observations. Given the importance of induction machines in the industry, maintaining and protecting them is essential. One of the ways to keep such engines in check is to continuously monitor their health by continuous monitoring of the values of its structural parameters. In this paper, an engine model is estimated using the extracted data from the engine, which includes the effective values of the stator current and the power factor and the application of the colony helium algorithm. The results of the simulation show the high accuracy of the proposed method in identifying the parameters of induction motors in comparison with the previous methods.
{"title":"Identification Of Induction Motor Parameters Using Wiener-Hammerstein Structure Based On Artificial Bee Colony Algorithm","authors":"Iman Sohrabi Chafjiri, M. Aghamohammadi, Hamid Gholipour Golroudbari","doi":"10.1109/KBEI.2019.8735055","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735055","url":null,"abstract":"In this paper, identification of parameters of induction motors using the Wiener-Hemerstein structure based on the colony helix algorithm. Identifying the system is actually finding a mathematical model of dynamical systems from input-output data, the results of experiments, and observations. Given the importance of induction machines in the industry, maintaining and protecting them is essential. One of the ways to keep such engines in check is to continuously monitor their health by continuous monitoring of the values of its structural parameters. In this paper, an engine model is estimated using the extracted data from the engine, which includes the effective values of the stator current and the power factor and the application of the colony helium algorithm. The results of the simulation show the high accuracy of the proposed method in identifying the parameters of induction motors in comparison with the previous methods.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"216 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":"121723051","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/KBEI.2019.8735005
A. Bastanfard, Dariush Amirkhani, M. Hasani
In the recent years, many studies have been conducted and many programs and methods have been presented in the field of age estimation. However, the accuracy of the proposed methods remains a challenge in this field. One of the proposed methods for age estimation, which has a higher accuracy than other available methods, is the use of i-vector for automatic age estimation of the sound signal. This method uses one UBM for Gaussian Mixture model. In this paper, by increasing the number of UBMs, the Gaussian Mixture model is optimized and the accuracy of age estimation is improved. Using multiple UBMs with different Gaussian components, for each speaker multiple i-vectors corresponding to each UBM are extracted. Given that, the age of the person is estimated several times and the average of all the estimations is taken as the age of the individual. Also, the results of many experiments in the age estimation, show that PLP features can increase the accuracy of the individuals estimated age. So the second suggestion is to use this features in age estimation. Finally, to enhance the distinction of voice features, the mapping of features was introduced to a new environment; the mapping relationship to this new environment was obtained by training a deep belief network. The proposed algorithm was tested on the NIST 2004, NIST 2005 and NIST 2008 databases. In contrast to single UBM method, the results for the proposed method show a Pearson correlation of 0.8 and a mean absolute error of 5.14, suggesting a %6.67 and %17 improvements in Pearson correlation and mean absolute error, respectively.
{"title":"Increasing the Accuracy of Automatic Speaker Age Estimation by Using Multiple UBMs","authors":"A. Bastanfard, Dariush Amirkhani, M. Hasani","doi":"10.1109/KBEI.2019.8735005","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735005","url":null,"abstract":"In the recent years, many studies have been conducted and many programs and methods have been presented in the field of age estimation. However, the accuracy of the proposed methods remains a challenge in this field. One of the proposed methods for age estimation, which has a higher accuracy than other available methods, is the use of i-vector for automatic age estimation of the sound signal. This method uses one UBM for Gaussian Mixture model. In this paper, by increasing the number of UBMs, the Gaussian Mixture model is optimized and the accuracy of age estimation is improved. Using multiple UBMs with different Gaussian components, for each speaker multiple i-vectors corresponding to each UBM are extracted. Given that, the age of the person is estimated several times and the average of all the estimations is taken as the age of the individual. Also, the results of many experiments in the age estimation, show that PLP features can increase the accuracy of the individuals estimated age. So the second suggestion is to use this features in age estimation. Finally, to enhance the distinction of voice features, the mapping of features was introduced to a new environment; the mapping relationship to this new environment was obtained by training a deep belief network. The proposed algorithm was tested on the NIST 2004, NIST 2005 and NIST 2008 databases. In contrast to single UBM method, the results for the proposed method show a Pearson correlation of 0.8 and a mean absolute error of 5.14, suggesting a %6.67 and %17 improvements in Pearson correlation and mean absolute error, respectively.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"37 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":"121914409","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/KBEI.2019.8735010
Mojtaba Ahadi, J. Nourinia, C. Ghobadi, M. S. Ellis, B. Mohammadi
A design of ultra-wideband (UWB) Vivaldi antenna is reported. In this antenna, elliptical taper has been used to design the proposed antenna. The antenna is shaped by subtracting two ellipses that have different dimensions, and then limited by a rectangle. Impedance bandwidth covers a rather wide spectrum from 2 GHz to over 14 GHz with average gain of 6.6 dBi over the working frequency band. Measured results of elliptical Vivaldi antenna in the entire UWB frequency range reveal a transfer function with flat level, and a group delay with variations less than 0.5 ns. The simulation results agrees with the results acquired by measurement.
{"title":"Compact Planar UWB Elliptical Vivaldi Antenna","authors":"Mojtaba Ahadi, J. Nourinia, C. Ghobadi, M. S. Ellis, B. Mohammadi","doi":"10.1109/KBEI.2019.8735010","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8735010","url":null,"abstract":"A design of ultra-wideband (UWB) Vivaldi antenna is reported. In this antenna, elliptical taper has been used to design the proposed antenna. The antenna is shaped by subtracting two ellipses that have different dimensions, and then limited by a rectangle. Impedance bandwidth covers a rather wide spectrum from 2 GHz to over 14 GHz with average gain of 6.6 dBi over the working frequency band. Measured results of elliptical Vivaldi antenna in the entire UWB frequency range reveal a transfer function with flat level, and a group delay with variations less than 0.5 ns. The simulation results agrees with the results acquired by measurement.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"41 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":"116584645","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/KBEI.2019.8734923
Yaser Mahdavi, Milad Rouhinia
In modern power systems which have subjected to severe stress, the voltage becomes important, so, attempts must be made to improve voltage profile as much as possible. To do so, in this paper the optimal size and placement of distributed energy resources like photovoltaic units and demand response programs have been performed to improve voltage profile and congestion management. Therefore two indices namely voltage profile and congestion management have been considered. Photovoltaic units and demand response programs are installed in demand side. These resources inject active power at load buses and reduces from current flowing in lines. So, it increases voltage magnitude at load buses. For congestion management with these resources exist same reason. So, distributed energy resources installation idea is considered in this paper.Furthermore, in order to establish the more realistic condition of a power system, radiation uncertainty of sun and load uncertainty is also considered.
{"title":"Utilizing distributed energy resources to improve voltage profile and lines congestion, considering uncertainties","authors":"Yaser Mahdavi, Milad Rouhinia","doi":"10.1109/KBEI.2019.8734923","DOIUrl":"https://doi.org/10.1109/KBEI.2019.8734923","url":null,"abstract":"In modern power systems which have subjected to severe stress, the voltage becomes important, so, attempts must be made to improve voltage profile as much as possible. To do so, in this paper the optimal size and placement of distributed energy resources like photovoltaic units and demand response programs have been performed to improve voltage profile and congestion management. Therefore two indices namely voltage profile and congestion management have been considered. Photovoltaic units and demand response programs are installed in demand side. These resources inject active power at load buses and reduces from current flowing in lines. So, it increases voltage magnitude at load buses. For congestion management with these resources exist same reason. So, distributed energy resources installation idea is considered in this paper.Furthermore, in order to establish the more realistic condition of a power system, radiation uncertainty of sun and load uncertainty is also considered.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"72 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":"115037804","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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