Pub Date : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201724
Ashirbad Behera, Sonalika Mishra, P. C. Nayak, R. Prusty, B. K. Sahu
This study introduces Teaching Learning Based Optimization (TLBO) technique based fractional order PID controller (FOPID) for frequency regulation of multi microgrid system (MMG). Under this study, the MMG system comprises renewable energy sources (RES) such as photo-voltaic generators, wind generators and diesel power generators coordinated with different energy storage systems such as battery energy storage (BESS), flywheel energy storage (FESS), Redox flow battery (RFB)and Ultracapacitor (UC). For optimal design of the FOPID controller parameter, the TLBO technique is used. The efficacy of the proposed techniques is justified over the Dragonfly algorithm (DA) and Particle Swarm Optimization (PSO) algorithm. The projected FOPID controller is studied over PID & I controller. The response of different coordinated structures such as FOPID with BESS, FOPID with FESS, FOPID with US & FOPID with RFB is also analysed.
{"title":"Coordinated frequency regulation of microgrid system using TLBO based FOPID and ESS devices","authors":"Ashirbad Behera, Sonalika Mishra, P. C. Nayak, R. Prusty, B. K. Sahu","doi":"10.1109/APSIT58554.2023.10201724","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201724","url":null,"abstract":"This study introduces Teaching Learning Based Optimization (TLBO) technique based fractional order PID controller (FOPID) for frequency regulation of multi microgrid system (MMG). Under this study, the MMG system comprises renewable energy sources (RES) such as photo-voltaic generators, wind generators and diesel power generators coordinated with different energy storage systems such as battery energy storage (BESS), flywheel energy storage (FESS), Redox flow battery (RFB)and Ultracapacitor (UC). For optimal design of the FOPID controller parameter, the TLBO technique is used. The efficacy of the proposed techniques is justified over the Dragonfly algorithm (DA) and Particle Swarm Optimization (PSO) algorithm. The projected FOPID controller is studied over PID & I controller. The response of different coordinated structures such as FOPID with BESS, FOPID with FESS, FOPID with US & FOPID with RFB is also analysed.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132699105","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201696
J. Kumar, Ritu Vashistha, Kushwant Kaur, Siroj Kumar Singh
Students’ performance prediction becomes more difficult due to the large data in education system. Now a days, most of the educational bodies are used Machine Learning techniques to make improvement in their system. Performance of the students is analyzed by using these techniques and help to students in improving their performance. Therefore, a systematic review of all papers related to this field is needed to understand the Machine Learning techniques in education and how to predict the performance of students. This paper focus on finding the important factors that affects the student performance used by the authors and also find the prediction methods is mostly used.
{"title":"Machine Learning Techniques of Predicting Student's Performance","authors":"J. Kumar, Ritu Vashistha, Kushwant Kaur, Siroj Kumar Singh","doi":"10.1109/APSIT58554.2023.10201696","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201696","url":null,"abstract":"Students’ performance prediction becomes more difficult due to the large data in education system. Now a days, most of the educational bodies are used Machine Learning techniques to make improvement in their system. Performance of the students is analyzed by using these techniques and help to students in improving their performance. Therefore, a systematic review of all papers related to this field is needed to understand the Machine Learning techniques in education and how to predict the performance of students. This paper focus on finding the important factors that affects the student performance used by the authors and also find the prediction methods is mostly used.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132701401","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 : 2023-06-09DOI: 10.1109/apsit58554.2023.10201680
{"title":"Content","authors":"","doi":"10.1109/apsit58554.2023.10201680","DOIUrl":"https://doi.org/10.1109/apsit58554.2023.10201680","url":null,"abstract":"","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114894493","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201789
Suman More, Rituraj Gupta, Rohan Verma, Sahil Agarwal, S. Nayak, B. Senapati
The evolution of Aadhaar, an identification system executed by the Indian government that provides each citizen with a unique identity, is analyzed within the context of the creation of Unique Identity Authority of India (UIDAI), which distributes and generates user identities based on and biometric and demographic information. The study gives a comprehensive outline of security issues related to the Aadhaar authentication process and analyzes the updates introduced over time. The main objective of this study is to comprehensively cover the security perspectives related to Aadhaar and provide conceivable arrangements to mitigate the security threats through the development and implementation of a decentralized fingerprinting system that uses Public Key Infrastructure (PKI) to empower secure peer-to-peer data exchange leveraging zero-knowledge proofs. The proposed solution shows the necessary data digitally by integrating data logging strategies to keep track of individuals accessing the data ensuring end-to-end encryption. In this way, it empowers Aadhaar holders to selectively disclose their information to authorized entities while preserving the confidentiality and integrity of the data.
{"title":"Decentralized Fingerprinting for Secure Peer-To-Peer Data Exchange of Aadhaar Via Public Key Infrastructure","authors":"Suman More, Rituraj Gupta, Rohan Verma, Sahil Agarwal, S. Nayak, B. Senapati","doi":"10.1109/APSIT58554.2023.10201789","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201789","url":null,"abstract":"The evolution of Aadhaar, an identification system executed by the Indian government that provides each citizen with a unique identity, is analyzed within the context of the creation of Unique Identity Authority of India (UIDAI), which distributes and generates user identities based on and biometric and demographic information. The study gives a comprehensive outline of security issues related to the Aadhaar authentication process and analyzes the updates introduced over time. The main objective of this study is to comprehensively cover the security perspectives related to Aadhaar and provide conceivable arrangements to mitigate the security threats through the development and implementation of a decentralized fingerprinting system that uses Public Key Infrastructure (PKI) to empower secure peer-to-peer data exchange leveraging zero-knowledge proofs. The proposed solution shows the necessary data digitally by integrating data logging strategies to keep track of individuals accessing the data ensuring end-to-end encryption. In this way, it empowers Aadhaar holders to selectively disclose their information to authorized entities while preserving the confidentiality and integrity of the data.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114326136","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201705
Buddhadeva Sahoo, S. Samantaray, P. Rout, S. Routray
This manuscript proposes a novel elven-level cascaded inverter (11-CI) to offer better coordination and PQ in PV -battery-based microgrid operation. The significance of the inverter is justified by using lesser switching requirements, simpler in design and economic operation. In addition to that, mostly preferred PO-based maximum power point algorithm is used to adjust the duty ratio of the boost converter and extract maximum dc-link voltage. Further, an energy storage system with a dc-dc converter is integrated to circumvent the excess load demand and varied climate conditions. However, the operation of the inverter and bidirectional converter action depends upon the controller action. Therefore, a combined bidirectional converter and the 11-CI-based advanced controller are proposed with reduced complexity. The developed 11-CI-based advanced controller performance is studied and justified by comparing the outcomes obtained from the proposed and traditional inverter-based controller. The findings show increased voltage levels, better regulation, and synchronized operation achieved with lesser harmonic components during non-linear load action.
{"title":"Eleven-level Cascaded Inverter and Advanced Control Technique for Solar-battery Operation","authors":"Buddhadeva Sahoo, S. Samantaray, P. Rout, S. Routray","doi":"10.1109/APSIT58554.2023.10201705","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201705","url":null,"abstract":"This manuscript proposes a novel elven-level cascaded inverter (11-CI) to offer better coordination and PQ in PV -battery-based microgrid operation. The significance of the inverter is justified by using lesser switching requirements, simpler in design and economic operation. In addition to that, mostly preferred PO-based maximum power point algorithm is used to adjust the duty ratio of the boost converter and extract maximum dc-link voltage. Further, an energy storage system with a dc-dc converter is integrated to circumvent the excess load demand and varied climate conditions. However, the operation of the inverter and bidirectional converter action depends upon the controller action. Therefore, a combined bidirectional converter and the 11-CI-based advanced controller are proposed with reduced complexity. The developed 11-CI-based advanced controller performance is studied and justified by comparing the outcomes obtained from the proposed and traditional inverter-based controller. The findings show increased voltage levels, better regulation, and synchronized operation achieved with lesser harmonic components during non-linear load action.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130537485","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201689
Bibhuprasad Sahu, Sujata Dash
This article aims to identify a way to predict cancer by analyzing gene expression data from microarrays. The focus is on selecting specific features through metaheuristic search algorithms that can help determine the optimal global and local features using population and neighborhood-based methods. Essentially, the goal is to use advanced technology to identify potential biomarkers for cancer prediction, through a novel computer-aided diagnostic tool for the classification of cancer samples using gene expression data. The model is known as JMR-CR with waterfall GWO and operates in two distinct phases. In the initial phase, the JMI-CR algorithm is employed to select the most relevant features from the dataset by utilizing a novel mutual information technique called joint mutual information. In the second phase, the waterfall grey wolf optimization algorithm is used to identify the optimal features. To assess the performance of the proposed model is evaluated using two classification algorithms, namely support vector machine (SVM) and K nearest neighbor (KNN). The proposed model offers several advantages. It addresses the challenges posed by higher dimensionality and class imbalance problems by utilizing the waterfall GWO model, resulting in increased classification accuracy. The model is tested on various cancer microarray gene expression datasets, and the experimental results demonstrate that the proposed hybrid model outperforms other existing models in terms of generalization performance and testing accuracy.
{"title":"Feature Selection With Novel Mutual Information and Binary Grey Wolf Waterfall Model","authors":"Bibhuprasad Sahu, Sujata Dash","doi":"10.1109/APSIT58554.2023.10201689","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201689","url":null,"abstract":"This article aims to identify a way to predict cancer by analyzing gene expression data from microarrays. The focus is on selecting specific features through metaheuristic search algorithms that can help determine the optimal global and local features using population and neighborhood-based methods. Essentially, the goal is to use advanced technology to identify potential biomarkers for cancer prediction, through a novel computer-aided diagnostic tool for the classification of cancer samples using gene expression data. The model is known as JMR-CR with waterfall GWO and operates in two distinct phases. In the initial phase, the JMI-CR algorithm is employed to select the most relevant features from the dataset by utilizing a novel mutual information technique called joint mutual information. In the second phase, the waterfall grey wolf optimization algorithm is used to identify the optimal features. To assess the performance of the proposed model is evaluated using two classification algorithms, namely support vector machine (SVM) and K nearest neighbor (KNN). The proposed model offers several advantages. It addresses the challenges posed by higher dimensionality and class imbalance problems by utilizing the waterfall GWO model, resulting in increased classification accuracy. The model is tested on various cancer microarray gene expression datasets, and the experimental results demonstrate that the proposed hybrid model outperforms other existing models in terms of generalization performance and testing accuracy.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116529021","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201765
N. Nayak, Anshuman Satapathy
Various types of renewable energy generation sources (DGs) forms the Micro Grid concept and are absolutely preferred to meet the energy scarcity in present scenario. The renewable energy integration with the conventional grids distorts the signal quality. Improvement of power quality disturbance (PQD) increases efficiency of suppliers and consumers. In this paper the extreme learning based nonlinear Auto regressive neural network with exogenous output(ELM-NARX), has been implemented to distribution static compensator (D-STATCOM) integrated with an AC Micro Grid, to improve the power quality disturbances under various operating conditions effectively. The performance of (ELM-NARX) controller is investigated through various power quality issues like, voltage sag /swell, voltage deviation, unbalancing, communication delay etc and compared with the traditional controller like PI and NARX controller.
{"title":"Power Quality Improvement in a Micro Grid with ELM based Nonlinear Autoregressive Neural network","authors":"N. Nayak, Anshuman Satapathy","doi":"10.1109/APSIT58554.2023.10201765","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201765","url":null,"abstract":"Various types of renewable energy generation sources (DGs) forms the Micro Grid concept and are absolutely preferred to meet the energy scarcity in present scenario. The renewable energy integration with the conventional grids distorts the signal quality. Improvement of power quality disturbance (PQD) increases efficiency of suppliers and consumers. In this paper the extreme learning based nonlinear Auto regressive neural network with exogenous output(ELM-NARX), has been implemented to distribution static compensator (D-STATCOM) integrated with an AC Micro Grid, to improve the power quality disturbances under various operating conditions effectively. The performance of (ELM-NARX) controller is investigated through various power quality issues like, voltage sag /swell, voltage deviation, unbalancing, communication delay etc and compared with the traditional controller like PI and NARX controller.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123613924","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201730
Shripad Kulkarni, Ashwini S. Kunte
The demand for dual-band Wi-Fi has increased in recent years, as it allows for high-speed data transmission of up to 10 GB/s. A proposed MIMO antenna design incorporates an open complementary split ring resonator (OCSRR) meta-material structure. The OCSRR unit cell comprises two metallic terminals that can be activated by voltage or current. In this design, two OCSRRs are attached to rectangular slotted antenna patches, which are symmetrical and positioned nearly orthogonally over a 40 mm x 80 mm area in a MIMO configuration. The distance between the two antenna edges, has been optimized to 3.2 mm. This MIMO antenna design functions as a band-pass filter for both the 2.4 GHz band, with a bandwidth of 498 MHz, and the 5.5 GHz band, with a bandwidth of 840 MHz. The maximum return loss (S11) is -29 dB, while the mutual coupling (S12) is -22.8 dB. This 2X1 MIMO antenna design is suitable for use in small Wi-Fi routers operating at wireless frequencies ranging from 5.15 to 5.5 GHz and 2.4 to 2.48 GHz.
近年来，对双频Wi-Fi的需求有所增加，因为它允许高达10gb /s的高速数据传输。提出了一种MIMO天线设计，该天线采用开放式互补裂环谐振器(OCSRR)超材料结构。OCSRR单元电池包括两个可由电压或电流激活的金属端子。在本设计中，两个ocsrr连接到矩形开槽天线贴片上，在MIMO配置中，矩形开槽天线贴片是对称的，并且几乎垂直放置在40 mm x 80 mm的区域上。两个天线边缘之间的距离已优化为3.2毫米。该MIMO天线设计在2.4 GHz频段(带宽为498mhz)和5.5 GHz频段(带宽为840mhz)均可作为带通滤波器。最大回波损耗(S11)为-29 dB，互耦(S12)为-22.8 dB。这种2X1 MIMO天线设计适用于在5.15至5.5 GHz和2.4至2.48 GHz无线频率范围内工作的小型Wi-Fi路由器。
{"title":"Open Complementary Split Ring Resonator dual Band Wireless MIMO Antenna","authors":"Shripad Kulkarni, Ashwini S. Kunte","doi":"10.1109/APSIT58554.2023.10201730","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201730","url":null,"abstract":"The demand for dual-band Wi-Fi has increased in recent years, as it allows for high-speed data transmission of up to 10 GB/s. A proposed MIMO antenna design incorporates an open complementary split ring resonator (OCSRR) meta-material structure. The OCSRR unit cell comprises two metallic terminals that can be activated by voltage or current. In this design, two OCSRRs are attached to rectangular slotted antenna patches, which are symmetrical and positioned nearly orthogonally over a 40 mm x 80 mm area in a MIMO configuration. The distance between the two antenna edges, has been optimized to 3.2 mm. This MIMO antenna design functions as a band-pass filter for both the 2.4 GHz band, with a bandwidth of 498 MHz, and the 5.5 GHz band, with a bandwidth of 840 MHz. The maximum return loss (S11) is -29 dB, while the mutual coupling (S12) is -22.8 dB. This 2X1 MIMO antenna design is suitable for use in small Wi-Fi routers operating at wireless frequencies ranging from 5.15 to 5.5 GHz and 2.4 to 2.48 GHz.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123614640","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201694
N. Swain, Nivedita Pati, P. Kar
A Nanogrid is a model version of a smart grid with the ability to function as separate power generator. This feature allows for this grid to power single loads and apply for special applications. The DC Nanogrid comprises of a bi-directional converters along with Battery Management system (BMS). It draws powers from the grid in the absence of renewable energy sources and BMS to meet the load demand. The BMS generally uses bidirectional DC-DC converter for charging and discharging of the battery at regular interval. In this work detailed analysis of bidirectional DC-DC converter is presented and the simulation has been carried out using MATLAB. PI controller is designed and PWM scheme is planned, from step down to step up and step up to step down mode automatically based on source voltage. The constructed control logic offers bidirectional voltage regulation. The battery charging and discharging characteristics are realized.
{"title":"Design, Control and Analysis of Bi-directional DC-DC Converter with Battery Management System for Low Voltage Applications","authors":"N. Swain, Nivedita Pati, P. Kar","doi":"10.1109/APSIT58554.2023.10201694","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201694","url":null,"abstract":"A Nanogrid is a model version of a smart grid with the ability to function as separate power generator. This feature allows for this grid to power single loads and apply for special applications. The DC Nanogrid comprises of a bi-directional converters along with Battery Management system (BMS). It draws powers from the grid in the absence of renewable energy sources and BMS to meet the load demand. The BMS generally uses bidirectional DC-DC converter for charging and discharging of the battery at regular interval. In this work detailed analysis of bidirectional DC-DC converter is presented and the simulation has been carried out using MATLAB. PI controller is designed and PWM scheme is planned, from step down to step up and step up to step down mode automatically based on source voltage. The constructed control logic offers bidirectional voltage regulation. The battery charging and discharging characteristics are realized.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124776416","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201667
Samarjeet Satapathy, Narayan Nahak, A. Patra, A. Mishra
An optimal steam governor action has been proposed in present work to improve small signal stability (SSS) for renewable integrated hybrid power system (HPS). The steam governor has been equipped with auxiliary PID type damping controller, whose gains being set by Modified Differential Evolution (MDE) Algorithm. In MDE the movements of white, black and wormhole methodology from multi-verse-optimizer (MVO) has been implemented to improve the capacity of DE to leap out local optima and enhancing convergence capability. To examine performance of proposed governor action, different experimentations being conducted for multi-machine system with sudden solar penetrations & variable load demand. Variation in angular frequency and active power being considered for ITAE based minimization function. System response being observed with eigen distributions to verify damping capability of proposed control action and compared with DE & PSO algorithm. The steam governors can impart effective damping torque, if they are equipped with auxiliary optimal damping controller.
{"title":"Steam governor based optimal power oscillation damping controller with solar penetrations","authors":"Samarjeet Satapathy, Narayan Nahak, A. Patra, A. Mishra","doi":"10.1109/APSIT58554.2023.10201667","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201667","url":null,"abstract":"An optimal steam governor action has been proposed in present work to improve small signal stability (SSS) for renewable integrated hybrid power system (HPS). The steam governor has been equipped with auxiliary PID type damping controller, whose gains being set by Modified Differential Evolution (MDE) Algorithm. In MDE the movements of white, black and wormhole methodology from multi-verse-optimizer (MVO) has been implemented to improve the capacity of DE to leap out local optima and enhancing convergence capability. To examine performance of proposed governor action, different experimentations being conducted for multi-machine system with sudden solar penetrations & variable load demand. Variation in angular frequency and active power being considered for ITAE based minimization function. System response being observed with eigen distributions to verify damping capability of proposed control action and compared with DE & PSO algorithm. The steam governors can impart effective damping torque, if they are equipped with auxiliary optimal damping controller.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124809447","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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