S. Patra, Bibhuti Bhusan Dash, L. Barik, Jyotsna Rani Jena, Sandeep Nanda, Rabindra Kumar Barik
{"title":"Improving VM Placement in fog Center by Multi-objective optimization","authors":"S. Patra, Bibhuti Bhusan Dash, L. Barik, Jyotsna Rani Jena, Sandeep Nanda, Rabindra Kumar Barik","doi":"10.1109/isssc56467.2022.10051462","DOIUrl":"https://doi.org/10.1109/isssc56467.2022.10051462","url":null,"abstract":"Fog computing works in conjunction with cloud computing because cloud computing has latency issues for the critical applications. When the client requests reach to the fog server they are allocated to the Virtal machines (VMs) and then the VMs are placed into the physical machines (PMs). During the VM placement the provider tries to allocate all the requests to the VMs and then the VMs has to be placed inside the PMs. Virtual Machine Placement (VMP) problem is a NP-hard problem and the provider always wants to optimize the hosted VMs, minimize the PMs and minimize the resource wastage to optimize power consumption. This paper proposes Multi-objective integer linear programming (MOILP) and solves in two different methods such as lexicographical preference method and weighted sum method and it has been implemented for two categories of fog center such as homogeneous and heterogeneous and it has been found that the weighted sum method outperforms over the lexicographical method and also for heterogeneous fog center.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127802775","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}
Manish Kumar Gupta, Prakash Chandra Sahu, R. Prusty, S. Panda
{"title":"Optimal Scheduling with Automatic Power Generation of multi area power system by Fuzzy based PID Controller","authors":"Manish Kumar Gupta, Prakash Chandra Sahu, R. Prusty, S. Panda","doi":"10.1109/iSSSC56467.2022.10051373","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051373","url":null,"abstract":"This research study especially addresses over optimal scheduling of thermal based multi area power system in concern to the automatic power generation control. The work has employed a Fuzzy rule base PID controller to make required control actions in the system. The dynamic load nature in electrical market creates huge abnormal situations in the power system. These abnormal situations especially put adverse effects over system frequency and voltage of the power system. This study makes an objective to maintain nominal frequency and voltage of the system irrespective of the dynamics in applied load. The suggested Fuzzy PID controller takes up all the control actions to put stability on system performance. Further, a novel ant lion optimization (ALO) is proposed to produce optimal parameters of the suggested Fuzzy PID controller under different loadings. The performance of the proposed Fuzzy PID controller has been compared over PID controller to justify the superiority. Finally, in technique level the performance of the proposed ALO technique has been compared over standard PSO technique to optimal design the suggested Fuzzy PID controller.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127856725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intelligent load shifting strategy for economic operation of islanded microgrid system","authors":"Swarupa Pinninti, Srinivasa Rao Sura","doi":"10.1109/iSSSC56467.2022.10051433","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051433","url":null,"abstract":"This work employs a robust and efficient teaching learning-based optimization (TLBO) to optimally schedule the DGs of a low voltage (LV) off-grid microgrid (MG) system in order to lower the active power production cost of the systems. The topic test systems' cost-effective fitness functions considers efficiency of the distributed energy resources (DERs) that constitutes the MG system. Photovoltaic (PV) systems and wind turbines were selected to share load demand, and the load profiles of various systems were evaluated. The numerical and graphical findings show that TLBO is beneficial in minimizing the generation cost of test systems, surpassing a large list of techniques available in the literature. Furthermore, a strategic demand side management (DSM) technique was implemented to restructure the load demand shifting the elastic loads to reduce the peak demand without altering the daily load demand. The new restructured load demand furthered reduced the generation cost of the system. Non-parametric statistical analysis, and processing time all testify to TLBO's exceptional efficiency in dealing with any dimensions test system.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"303 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131329552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PV System with binary grey wolf optimization based MPPT for partial shading condition","authors":"M. Senapati, Guruprasad Tripathy","doi":"10.1109/iSSSC56467.2022.10051305","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051305","url":null,"abstract":"This paper compares the methods utilized in MPPT under partial shading conditions (PSC) and identifies the algorithm with the best tracking speed, decreased oscillation, shorter settling time, and last but not the least, efficiency. The two dynamic aspects of a PV system are cell temperature and irradiance. Maximum power point tracking (MPPT) techniques are used to collect maximum power from PV modules during system events. There are several conventional/traditional MPPT systems that monitor the MPP under uniform conditions, however they fail to follow the maximum power from a PV module in multiple peak situations under partial shading conditions. Comparing the performance of the proposed BGWO to the performance of existing MPPT approaches, such as GWO and PSO, reveals its performance. Therefore, it has been determined that the MPPT algorithm for managing the tracking speed must be enhanced and made more efficient.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123526483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Direct Instantaneous Torque Control for Switched Reluctance Motor through Optimized Dwell Angle","authors":"Swasti Chakrabarty, R. Kanagaraj","doi":"10.1109/iSSSC56467.2022.10051430","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051430","url":null,"abstract":"Switched Reluctance Motor (SRM) is emerging as a reliable motor in many industrial applications. There has been an emerging adoption of SRM in electric vehicles, hybrid electric vehicles, turbochargers, turbo-compounding, household, and aerospace applications. The control mechanism for SRM is complicated because of its highly non-linear characteristics. Because of the salient structure, there is a non-uniformity in the air gap, which lead to issues like torque ripple and noise and vibration in SRM. The torque ripple comprises the current hysteresis and commutation between phases while operating at low speeds. Whereas during high-speed operation, the single pulse current profile degrades the quality of the torque. In indirect torque control, the torque is indirectly controlled by considering current as a control variable, thereby increasing the computational burden. Direct torque control techniques, which directly use torque as a control variable, are attracting attention from researchers. This work presents a novel Direct Instantaneous Torque Control (DITC) method that considers the dwell angle optimization and its effect on the torque ripple. Further comparison of the proposed DITC model with the conventional current control is performed. A 5 kW, 1500 rpm, 8/6, 4-phase SRM is modelled, and the current control is carried out using the MATLAB model; hysteresis control is performed at low operating speed and single pulse control at high speeds. To achieve the minimized torque ripple, the conduction angle is optimized using ANSYS MAXWELL. The DITC method is then implemented using the optimized conduction angles. Finally, the comparisons of steady-state torque ripple and the current waveform are presented. The proposed DITC model performs dramatic torque ripple reduction compared to conventional control.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128349798","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}
B. Begum, N. Jena, Amiya Kumar Naik, B. K. Sahu, Hossein Shahinzadeh
{"title":"Spotted Hyena Optimization based FOPID Controller for Frequency Stability Analysis","authors":"B. Begum, N. Jena, Amiya Kumar Naik, B. K. Sahu, Hossein Shahinzadeh","doi":"10.1109/iSSSC56467.2022.10051220","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051220","url":null,"abstract":"In this paper, meta-heuristic optimization based on Spotted Hyena Optimization (SHO) has been used to evaluate the optimal values of conventional and fractional order PID controller for the load frequency control. Here a multi-area thermal system with single reheat turbine with generation rate constraint (GRC) of 5%/min. has been designed. The comparison has been analyzed between conventional and fractional control parameter tuned by Spotted Hyena Optimization technique (SHOT). Potential of SHOT is proved against PSO algorithm by comparing the results. Based on transient parameter analysis it can be proved that the fractional order proportional-integral-derivative controller (FOPID) having better response than classical PID controller. The eminent advantage of this strategy is its high insensitivity to large random load variation and disturbances. The robustness of the system is analyzed by injecting random load in area one","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128687501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Scheduling of HydroThermal System using Advance Grey Wolf Optimizer algorithm","authors":"Soudamini Behera, Ajit Kumar Barisal","doi":"10.1109/iSSSC56467.2022.10051309","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051309","url":null,"abstract":"In this paper Hydrothermal Scheduling (HTS) problems is solved using an advance Grey Wolf Optimizer algorithm named as Quasi Oppositional Grey Wolf Optimization (QOGWO) algorithm through cascaded reservoirs. Instead of pseudo-random numbers quasi-opposite numbers are used to initialize population in the proposed QOGWO method so that the convergence rate of GWO increases. Three intelligent algorithms such as GWO, QOGWO and Social network search (SNS)are compared in this complex hydrothermal system with many constraints. The feasibility of the projected approach is demonstrated in a multi-chain cascaded hydrothermal system with four interconnected hydro systems. Water transportation delay between interconnected reservoirs, Prohibited Discharge Zones (PDZ), Valve Point Loading (VPL) are considered in different combination in three cases. The PDZs of reservoirs of hydro plants have taken into account to ensure the viability of the projected method. The scheduled hourly rates of water flow founded by the projected QOGWO. The technique put forth with established superior to many recent findings for the STHS problems with increased complexities.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127464400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic Text summarization in Gujarati language","authors":"Harsh Mehta, S. Bharti, Nishant Doshi","doi":"10.1109/iSSSC56467.2022.10051338","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051338","url":null,"abstract":"Automatic text summarization is an essential part of Natural language processing(NLP), a subpart of the Artificial Intelligence domain. Widespread usage of text summarization is due to the massive usage of the internet in every aspect of life. In this research article, we perform a statistical text summarization technique on Gujarati text which is one of the resource-poor South Asian languages. We have performed TF-IDF, LSA, and LDA methods on our custom dataset. We evaluated our summary using the rouge score using 10%,20%, and 30% compression ratios. We have used Rouge-1, Rouge-2, Rouge-w, and Rouge-l to measure the accuracy, and LDA gets the highest rouge score among other methods. All the results are formed in table format with an individual rouge score and an average rouge score of all the methods. This article aims to analyze the performance of the unsupervised method in automatic text summarization methods of Gujarati language without any pre-processing technique. Sentences are selected using a concept-based method based on outside information [4], [5]. The title matching in the main text is covered by the topic-based idea. When the title words are identical, the phrase receives a good grade. If not, the sentence in question won’t be included in the summary [6], [7]. Depending on the topic, the cluster-based method organises comparable sentences. In this procedure, cluster counts must be specified [8] –[11]. The similarity notion is the foundation of the graph-based method. It compares the similarity of all the words and determines the best phrases using those results. Numerous studies on graph-based approaches have been conducted [12] through [16].","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130444831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Text summarization using Secretary problem","authors":"Harsh Mehta, S. Bharti, Nishant Doshi","doi":"10.1109/iSSSC56467.2022.10051552","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051552","url":null,"abstract":"Automatic text summarization is a long-running program, a crucial part of NLP(Natural language processing), which is again a subpart of Artificial Intelligence(AI). Many successful research techniques have been invented for summarization purposes. We propose a unique concept to generate the summary using the secretary problem, which comes under the extractive text summarization method. We divide the document text into two parts. We will match our text with the main title in the first part. If the main title’s words match the document text sentence, maintain those sentences in one of the lists. We will apply the secretary problem in other sentences that do not have title words. Combined with other sentence generation methods, the Secretary problem will guarantee the best candidate one-third of the time or 37%. This article presents our concept of leveraging a mathematical model to generate a summary that does not include some important sentences.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127904197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determination of optimal location and Implementation of Solar Photovoltaic system using ETAP","authors":"Shilpa Nandkishor Dehedkar, S. Raj","doi":"10.1109/iSSSC56467.2022.10051411","DOIUrl":"https://doi.org/10.1109/iSSSC56467.2022.10051411","url":null,"abstract":"Power system in India is supported by traditional sources of electricity production such as Thermal, Hydro and Nuclear power plant. The renewable resources can be introduced as certain location in power network to compensate the burden on traditional sources and to enhance stability of power network. Solar energy has significant benefits compared to other renewable sources. The aim of the proposed work is to analyze the location for the placement of PV penetration using voltage collapse proximity index method and evaluate the effect of PV penetration in active power loss, reactive power loss as well as improvement in voltage profile. So the attempt is made to analyze loading characteristic of IEEE14 Bus system when network is subjected to application of Photovoltaic solar energy sources at locations where voltage collapse may occur. The particular location of buses where photovoltaic system will be connected is identified with help of Voltage Collapse Proximity Index (VCPI) method. The stimulation of IEEE14 Bus is designed in ETAP. The analysis of voltage profiles before and after application of photovoltaic is studied. The real power losses and reactive power losses are obtained when test system was supplied with traditional sources of electricity. Outcomes of proposed system are that the application PV system at weak buses has come up with noticeable reduction in power losses.","PeriodicalId":334645,"journal":{"name":"2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125364608","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}