Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862343
Jeevanarao Batakala, R. Dhar
The device performance of nanowire junctionless MOSFET (NW-JL-MOSFET) with InGaAs as core material in the sub-10 nm regime is examined by a device simulator, namely ATLAS. The focus is on gate-all-around nanowires with InGaAs core. These devices are further examined by adding gate-stack (high-k dielectric + oxide) method. It is observed that optimal selection of structure parameters of InGaAs NW-JL-MOSFET attains higher drain current and optimal performance. This proposed architecture also provides better switching speed of the structure. The gate dielectric material optimization of the structure is attained via broad device simulation. In this manuscript, a literature is carried for the short channel effects like subthreshold swing, Ion/Ioff ratio, Threshold voltage and drain induced barrier lowering (DIBL). The InGaAs device has a better threshold voltage and Ion/Ioff ratio, according to simulation data.
{"title":"Development and Analysis of In GaAs Nanowire Junctionless MOSFET with 10 nm gate length","authors":"Jeevanarao Batakala, R. Dhar","doi":"10.1109/ICICCSP53532.2022.9862343","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862343","url":null,"abstract":"The device performance of nanowire junctionless MOSFET (NW-JL-MOSFET) with InGaAs as core material in the sub-10 nm regime is examined by a device simulator, namely ATLAS. The focus is on gate-all-around nanowires with InGaAs core. These devices are further examined by adding gate-stack (high-k dielectric + oxide) method. It is observed that optimal selection of structure parameters of InGaAs NW-JL-MOSFET attains higher drain current and optimal performance. This proposed architecture also provides better switching speed of the structure. The gate dielectric material optimization of the structure is attained via broad device simulation. In this manuscript, a literature is carried for the short channel effects like subthreshold swing, Ion/Ioff ratio, Threshold voltage and drain induced barrier lowering (DIBL). The InGaAs device has a better threshold voltage and Ion/Ioff ratio, according to simulation data.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132233229","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862425
A. K. Singh, Joyjit Patra, Monalisa Chakraborty, Subir Gupta
An investment is capturing money to profit from it. Investing has become a buzzword among middle-class households. People can invest their money in a variety of ways. Land, gold, jewels, cash, mutual funds, and the stock market may all make investments. We all know how volatile the stock market is. But why is it beneficial to middle-class families? For example, a man from a middle-class family may want to buy land, but it may be too expensive. However, it is possible to obtain a share for a pittance. The disparity between investment and result is apparent here. Forecasting is challenging due to the volatility and non-linearity of financial stock markets. Artificial intelligence and increased computing power have enhanced accuracy in stock price prediction programs. In this paper, we consider Bharat Petroleum Corporation Limited (BPCL), Hindustan Petroleum Corporation Limited (HPCL), and Indian Oil Corporation (I.O.C.) to be the government oil corporations with the most significant stake in the Indian petroleum industry. This paper enhances the prediction of effect by combining a hybridized model of Machine Learning with a Data Science model. Machine Learning-based Hyper Parameter Tuning of Neural Network LSTM has been used to estimate the following day closing price for three equity from Indian government oil industries. The open and close stock prices are considered when creating new model input variables. This project's accuracy is around 99 percent.
{"title":"Prediction of Indian government stakeholder oil stock prices using hyper parameterized LSTM models","authors":"A. K. Singh, Joyjit Patra, Monalisa Chakraborty, Subir Gupta","doi":"10.1109/ICICCSP53532.2022.9862425","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862425","url":null,"abstract":"An investment is capturing money to profit from it. Investing has become a buzzword among middle-class households. People can invest their money in a variety of ways. Land, gold, jewels, cash, mutual funds, and the stock market may all make investments. We all know how volatile the stock market is. But why is it beneficial to middle-class families? For example, a man from a middle-class family may want to buy land, but it may be too expensive. However, it is possible to obtain a share for a pittance. The disparity between investment and result is apparent here. Forecasting is challenging due to the volatility and non-linearity of financial stock markets. Artificial intelligence and increased computing power have enhanced accuracy in stock price prediction programs. In this paper, we consider Bharat Petroleum Corporation Limited (BPCL), Hindustan Petroleum Corporation Limited (HPCL), and Indian Oil Corporation (I.O.C.) to be the government oil corporations with the most significant stake in the Indian petroleum industry. This paper enhances the prediction of effect by combining a hybridized model of Machine Learning with a Data Science model. Machine Learning-based Hyper Parameter Tuning of Neural Network LSTM has been used to estimate the following day closing price for three equity from Indian government oil industries. The open and close stock prices are considered when creating new model input variables. This project's accuracy is around 99 percent.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132601089","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862429
Sumit Swain, Rohit Meher, M. Tripathy, S. Behera
The work presented, describes the design of a RC-Phase shift oscillator in fractional domain is illustrated using Foster-1 approximated fractional-capacitor. Here the simulated analysis is carried out using three fractional-capacitors $FC_{1}, FC_{2}$, and $FC_{3}$ bearing different non-dependent fractional-orders $alpha, beta$, and $gamma$. respectively in the Fractional-order RC-phase shift oscillator. The phase shifting section of the proposed fractional-order oscillator has been investigated by simulating time and frequency-domain responses in MATLAB. In frequency-domain, it is envisaged that maximum phase-shift depends on varying the fractional-orders, which enhances the degree of design freedom. Later, in this paper simulation studies for stability analysis have been performed to explore the dependence of different parameters (rise-time, peak-overshoot, settling-time) of the proposed oscillators on the fractional-exponents.
{"title":"Performance and Stability Improvement of Fractional Order RC-Phase Shift Oscillator","authors":"Sumit Swain, Rohit Meher, M. Tripathy, S. Behera","doi":"10.1109/ICICCSP53532.2022.9862429","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862429","url":null,"abstract":"The work presented, describes the design of a RC-Phase shift oscillator in fractional domain is illustrated using Foster-1 approximated fractional-capacitor. Here the simulated analysis is carried out using three fractional-capacitors $FC_{1}, FC_{2}$, and $FC_{3}$ bearing different non-dependent fractional-orders $alpha, beta$, and $gamma$. respectively in the Fractional-order RC-phase shift oscillator. The phase shifting section of the proposed fractional-order oscillator has been investigated by simulating time and frequency-domain responses in MATLAB. In frequency-domain, it is envisaged that maximum phase-shift depends on varying the fractional-orders, which enhances the degree of design freedom. Later, in this paper simulation studies for stability analysis have been performed to explore the dependence of different parameters (rise-time, peak-overshoot, settling-time) of the proposed oscillators on the fractional-exponents.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133808281","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862386
Pragya, Ritula Thakur
This paper reviews architecture of hybrid AC/DC microgrid and several controlling strategies for hybrid AC/DC microgrid. Interconnected group of networks of loads, energy storage system and distributed energy sources defines a microgrid. To avoid multiple conversion that occurs in individual AC as well as DC grid in the microgrid system, hybrid microgrid is a solution for such issues. Balancing of power between both the microgrids is done with an Interlinking converter. It will balance power by transfer of power through one microgrid to another. This paper summarizes various controlling methods from the several aspects and existing issues in every method presented here.
{"title":"A Review of Architecture and Control Strategies of Hybrid AC/DC Microgrid","authors":"Pragya, Ritula Thakur","doi":"10.1109/ICICCSP53532.2022.9862386","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862386","url":null,"abstract":"This paper reviews architecture of hybrid AC/DC microgrid and several controlling strategies for hybrid AC/DC microgrid. Interconnected group of networks of loads, energy storage system and distributed energy sources defines a microgrid. To avoid multiple conversion that occurs in individual AC as well as DC grid in the microgrid system, hybrid microgrid is a solution for such issues. Balancing of power between both the microgrids is done with an Interlinking converter. It will balance power by transfer of power through one microgrid to another. This paper summarizes various controlling methods from the several aspects and existing issues in every method presented here.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121079357","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862320
Arnab Ari, Aashish Kumar Bohre
Renewable energy resources have an inherent drawback: they are intermittent. Due to this, individual renewable resources in standalone scenarios are not reliable and thus cannot be utilized for practical large-scale applications. A hybrid renewable energy system solves this issue by integrating multiple renewable, non-renewable and storage systems. Since multiple sources are used, distributed generation is possible in the case of HRES. This will not only help to satisfy the demand but also reduce losses and improve voltage profile besides reducing carbon footprint. This paper studies the effect of PV and WTG on the load flow and harmonics in a gird connected radial distribution system. Modeling of the system is discussed with four different cases for comparison. Harmonic analysis is performed to obtain the THD and TIF parameters to understand the voltage and current distortions and their effect on communication systems. It is found that the PV and Wind power generation system provides the best voltage profile. The bus voltage distortions are decreased and the branch currents are relatively distorted.
{"title":"Harmonic and TIF Analysis in Distribution System with Integration of PV and Wind Systems","authors":"Arnab Ari, Aashish Kumar Bohre","doi":"10.1109/ICICCSP53532.2022.9862320","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862320","url":null,"abstract":"Renewable energy resources have an inherent drawback: they are intermittent. Due to this, individual renewable resources in standalone scenarios are not reliable and thus cannot be utilized for practical large-scale applications. A hybrid renewable energy system solves this issue by integrating multiple renewable, non-renewable and storage systems. Since multiple sources are used, distributed generation is possible in the case of HRES. This will not only help to satisfy the demand but also reduce losses and improve voltage profile besides reducing carbon footprint. This paper studies the effect of PV and WTG on the load flow and harmonics in a gird connected radial distribution system. Modeling of the system is discussed with four different cases for comparison. Harmonic analysis is performed to obtain the THD and TIF parameters to understand the voltage and current distortions and their effect on communication systems. It is found that the PV and Wind power generation system provides the best voltage profile. The bus voltage distortions are decreased and the branch currents are relatively distorted.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115007741","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862447
Ankur Adhikary, Niloy Goswami, Kaushik Barua, Ratul Dey, Arindam Barman, M. A. Shawon
The ease of Doubly-Fed Induction Generator (DFIG) based wind turbines is largely deployed due to their variable speed feature and hence influencing system dynamics. However, owing to grid faults, the output power fluctuation in the DFIG wind turbine system brings a major concern to power system stability. In this paper, the grid voltage and frequency stability of the wind power system investigates different cases such as DFIG and the approach of a Battery Energy Storage System (BESS). Designing of a wind turbine model including Rotor Side Controller (RSC) and Grid Side Controller (GSC) and connected to the grid. An equivalent BESS is introduced in the power system model and connected to the grid through a three-phase inverter. The BESS system is designed to stabilize the frequency at a constant value with controlled active power also; voltage is controlled by reactive power. To design the wind turbine only active power is considered in this specific work. Therefore, the system performance has improved after including BESS. The performance analysis is observed by simulation work through “PSCAD/EMTDC” professional software, which is the most realistic and well-organized software, especially for power system analysis.
{"title":"Performance Analysis of a DFIG Based Wind Turbine with BESS System for Voltage and Frequency Stability during Grid Fault","authors":"Ankur Adhikary, Niloy Goswami, Kaushik Barua, Ratul Dey, Arindam Barman, M. A. Shawon","doi":"10.1109/ICICCSP53532.2022.9862447","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862447","url":null,"abstract":"The ease of Doubly-Fed Induction Generator (DFIG) based wind turbines is largely deployed due to their variable speed feature and hence influencing system dynamics. However, owing to grid faults, the output power fluctuation in the DFIG wind turbine system brings a major concern to power system stability. In this paper, the grid voltage and frequency stability of the wind power system investigates different cases such as DFIG and the approach of a Battery Energy Storage System (BESS). Designing of a wind turbine model including Rotor Side Controller (RSC) and Grid Side Controller (GSC) and connected to the grid. An equivalent BESS is introduced in the power system model and connected to the grid through a three-phase inverter. The BESS system is designed to stabilize the frequency at a constant value with controlled active power also; voltage is controlled by reactive power. To design the wind turbine only active power is considered in this specific work. Therefore, the system performance has improved after including BESS. The performance analysis is observed by simulation work through “PSCAD/EMTDC” professional software, which is the most realistic and well-organized software, especially for power system analysis.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115227292","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862469
Ashish Laddha, Satyanarayana Neeli
This article discusses the smart implementation of two-phase interleaved boost converter (TP-IBC) for fuel cell-powered electric vehicle (FCEV). The varying nature of the fuel cell (FC) output voltage and the load cause the common DC bus voltage to deviate from its referenced value. Thus, this manuscript proposes the fuzzy logic-led PID control scheme for the regulation of the common DC bus voltage. Employing of the fuzzy logic adds a factor of intelligence to the PID controller. This factor enables gains of the PID controller to adjust themselves according to the changing operational conditions.
{"title":"Intelligent Control of a Two-phase Interleaved Boost Converter-interfaced Fuel Cell Electric Vehicle","authors":"Ashish Laddha, Satyanarayana Neeli","doi":"10.1109/ICICCSP53532.2022.9862469","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862469","url":null,"abstract":"This article discusses the smart implementation of two-phase interleaved boost converter (TP-IBC) for fuel cell-powered electric vehicle (FCEV). The varying nature of the fuel cell (FC) output voltage and the load cause the common DC bus voltage to deviate from its referenced value. Thus, this manuscript proposes the fuzzy logic-led PID control scheme for the regulation of the common DC bus voltage. Employing of the fuzzy logic adds a factor of intelligence to the PID controller. This factor enables gains of the PID controller to adjust themselves according to the changing operational conditions.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114706746","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862456
Vraj Patel, Jayant Vagajiyani, Rushikesh Nayi, Dhaval Sagar, Jay Rakholiya, Sathish Dharmalingam
The electromagnetic engine is similar to the conventional internal combustion engines that are commonly utilized to meet daily demands. With the growing population, there are many chances that non-renewable resources may be depleted in the near future. As a result, those resources have been depleted, and pollution has increased. As a result, it's critical to create an engine that can function with a different alternative or source. Internal combustion engines use fossil fuels, which are inefficient since they emit a lot of pollution and are nonrenewable energy sources. The construction of an electromagnetic engine can address all of these concerns. The magnetic qualities of repulsion and attraction are used to operate the electromagnetic engine. The connecting rod, piston, crankshaft, and other components of a classic internal combustion engine are included in this system. This project's purpose is to develop and build an electromagnetic engine that can power an unmanned aerial vehicle's propeller. The engine has been tested for voltage ranges from 12 V to 24 V. Force, torque, and efficiency have been calculated. Airspeed behind the propeller and RPM have been measured using a pitot-static probe and a tachometer, respectively.
{"title":"Development and Testing of V-8 Electromagnetic Engine","authors":"Vraj Patel, Jayant Vagajiyani, Rushikesh Nayi, Dhaval Sagar, Jay Rakholiya, Sathish Dharmalingam","doi":"10.1109/ICICCSP53532.2022.9862456","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862456","url":null,"abstract":"The electromagnetic engine is similar to the conventional internal combustion engines that are commonly utilized to meet daily demands. With the growing population, there are many chances that non-renewable resources may be depleted in the near future. As a result, those resources have been depleted, and pollution has increased. As a result, it's critical to create an engine that can function with a different alternative or source. Internal combustion engines use fossil fuels, which are inefficient since they emit a lot of pollution and are nonrenewable energy sources. The construction of an electromagnetic engine can address all of these concerns. The magnetic qualities of repulsion and attraction are used to operate the electromagnetic engine. The connecting rod, piston, crankshaft, and other components of a classic internal combustion engine are included in this system. This project's purpose is to develop and build an electromagnetic engine that can power an unmanned aerial vehicle's propeller. The engine has been tested for voltage ranges from 12 V to 24 V. Force, torque, and efficiency have been calculated. Airspeed behind the propeller and RPM have been measured using a pitot-static probe and a tachometer, respectively.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121522430","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862405
Subir Datta, S. Deb, Robert Singh, Rahul Roy, Akibul Islam, S. Adhikari
Nowadays, oscillation due to low frequency is a very serious issue in power system. It affects steady state power transfer which hampers security and economic operation of the system. FACTs devices play a key role to mitigate the low frequency oscillations. Therefore, in this paper STATCOM and its associated controllers are considered in order to damp out oscillations produced due to low frequency in power system and Firefly Algorithm (FA) is also used to optimize the gain values of STATCOM controllers. An extensive simulation of the study system has been implemented using MATLAB/Simulink platform. System responses have been obtained with PSS and also with compensator comprising of both PSS and STATCOM. Time domain simulation studies are utilized to check effectiveness of the FA based proposed controllers. The simulation results obtained revealed that PSS with STATCOM has excellent capabilities in damping power system oscillations with low frequency.
{"title":"Firefly Algorithm based STATCOM Controller for Enhancement of Power System Dynamic Stability","authors":"Subir Datta, S. Deb, Robert Singh, Rahul Roy, Akibul Islam, S. Adhikari","doi":"10.1109/ICICCSP53532.2022.9862405","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862405","url":null,"abstract":"Nowadays, oscillation due to low frequency is a very serious issue in power system. It affects steady state power transfer which hampers security and economic operation of the system. FACTs devices play a key role to mitigate the low frequency oscillations. Therefore, in this paper STATCOM and its associated controllers are considered in order to damp out oscillations produced due to low frequency in power system and Firefly Algorithm (FA) is also used to optimize the gain values of STATCOM controllers. An extensive simulation of the study system has been implemented using MATLAB/Simulink platform. System responses have been obtained with PSS and also with compensator comprising of both PSS and STATCOM. Time domain simulation studies are utilized to check effectiveness of the FA based proposed controllers. The simulation results obtained revealed that PSS with STATCOM has excellent capabilities in damping power system oscillations with low frequency.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124212363","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 : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862332
B. Prusty, Kishore Bingi, Neeraj Gupta
It is challenging to approximate multimodal distributions of probabilistic load flow (PLF) result variables stemming from discrete and non-standard continuous input random variables (RVs). The Gaussian mixture model (GMM) approximates the probability distribution of the above input RVs as a “K” weighted sum of Gaussian distributions. The expectation-maximization (EM) algorithm effectively estimates the mixture component parameters. Nevertheless, knowing the true number of components a priori is vital. In pursuing a pragmatic GMM-based PLF, several approaches have been suggested in the literature to determine the true number of mixture components and parameter initialization. This paper comprehensively reviews GMM-based PLF using EM. The criteria adopted in the literature for selecting the value of “K” and the initialization strategies are given special attention. This detailed review is expected to help novice readers in the area of GMM-based PLF.
{"title":"Review of Gaussian Mixture Model-Based Probabilistic Load Flow Calculations","authors":"B. Prusty, Kishore Bingi, Neeraj Gupta","doi":"10.1109/ICICCSP53532.2022.9862332","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862332","url":null,"abstract":"It is challenging to approximate multimodal distributions of probabilistic load flow (PLF) result variables stemming from discrete and non-standard continuous input random variables (RVs). The Gaussian mixture model (GMM) approximates the probability distribution of the above input RVs as a “K” weighted sum of Gaussian distributions. The expectation-maximization (EM) algorithm effectively estimates the mixture component parameters. Nevertheless, knowing the true number of components a priori is vital. In pursuing a pragmatic GMM-based PLF, several approaches have been suggested in the literature to determine the true number of mixture components and parameter initialization. This paper comprehensively reviews GMM-based PLF using EM. The criteria adopted in the literature for selecting the value of “K” and the initialization strategies are given special attention. This detailed review is expected to help novice readers in the area of GMM-based PLF.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128508128","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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