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SBP Based Optimal Power Trading in CEM adopting Hybrid DE-PSO Technique 采用混合DE-PSO技术的基于SBP的CEM最优电力交易
2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428948
Ramachandra Agrawal, Priyadarsini Pradhan, Prasantini Samal
{"title":"SBP Based Optimal Power Trading in CEM adopting Hybrid DE-PSO Technique","authors":"Ramachandra Agrawal, Priyadarsini Pradhan, Prasantini Samal","doi":"10.1109/ODICON50556.2021.9428948","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428948","url":null,"abstract":"The offering dynamic issue is contemplated from a provider's perspective in a spot advertise condition. The dynamic issue is figured as a Markov Decision Process - a discrete stochastic improvement technique. All different providers are displayed by their offering parameters with correlating probabilities. A precise strategy is created to ascertain change probabilities and prizes. An improved market clearing framework is additionally remembered for the usage. A hazard unbiased chief is accepted, the ideal technique is determined to amplify the normal award over an arranging skyline. Reenactment cases are utilized to delineate the proposed technique.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133754421","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}
引用次数: 0
Analysis of Pupil Dilation on Different Emotional States by Using Computer Vision Algorithms 不同情绪状态下瞳孔扩张的计算机视觉分析
2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428974
L. Moharana, Niva Das
{"title":"Analysis of Pupil Dilation on Different Emotional States by Using Computer Vision Algorithms","authors":"L. Moharana, Niva Das","doi":"10.1109/ODICON50556.2021.9428974","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428974","url":null,"abstract":"Measurement of pupil diameter can be helpful to study human mental health. In medical science pupillary tracking helps the clinicians to detect the level of depression, stress and anxiety. Many studies have been undertaken to detect emotional states of a person from his pupil movement as well as size. Pupil diameter measurement follows the stages of detecting face, detecting eyes and detecting pupil. In this paper we have analyzed the effect of three emotions, i.e., happy, sad and surprise on the pupil diameter using the computer vision techniques.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"33 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121001229","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}
引用次数: 1
Energy Portfolio Optimization for the State of Rajasthan 拉贾斯坦邦能源组合优化
2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9429007
K. G. Sharma, R. Bhakar, Parul Mathuria
{"title":"Energy Portfolio Optimization for the State of Rajasthan","authors":"K. G. Sharma, R. Bhakar, Parul Mathuria","doi":"10.1109/ODICON50556.2021.9429007","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9429007","url":null,"abstract":"The power sector in Rajasthan has shown substantial improvement over the past few years or in a decade due to an increase in generation capacity, renewable generation, strengthening of network infrastructure leading to an improvement in the overall power supply position of the state. But still, there is a gap to be fulfilled between demand and the supply from capacity tied up under power long-term, bilateral contracts, short-term contracts, and making the renewable generators as must-run plants. Distribution Company continues to be an insufficient supplier to serve the entire demand across various time blocks for the state of Rajasthan. The state continues to depend on peak load power plants, typically gas-based or diesel-based-close to load centers for meeting their deficit peak and uncertain seasonal demand increase. A linear optimization mathematical model has been developed to address the delinquent of power purchase and its planning encountered by the distribution utilities and large consumers. A power procurement framework is much needed for the state of Rajasthan that can provide the three major distribution utilities, and other power procurement suppliers and producers better views in respect of procuring the right quantum of power from various available markets sources under different time scenario to counter the demand.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124495800","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}
引用次数: 0
The Classification of Power Quality Disturbances using Statistical S-Transform and Probabilistic Neural Network 基于统计s变换和概率神经网络的电能质量扰动分类
2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428947
Laxmipriya Samal, H. Palo, B. Sahu, D. Samal
{"title":"The Classification of Power Quality Disturbances using Statistical S-Transform and Probabilistic Neural Network","authors":"Laxmipriya Samal, H. Palo, B. Sahu, D. Samal","doi":"10.1109/ODICON50556.2021.9428947","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428947","url":null,"abstract":"This article compares the ability of the Probabilistic Neural Network in the classification of several Power Quality Disturbances (PQD) using statistical parameters. The objective is to investigate the effectiveness of the classifier in modeling the low-dimensional feature vectors describing several PQD disturbances. In the process, several statistical parameters such as the mean, RMS value, standard deviation, skewness, Kurtosis, form factor, Crest factor, Energy, normalized entropy, log entropy, and Shannon entropy have been extracted using the Feature vectors of the well-known Stockwell Transform (ST). The statistical coefficients corresponding to ten-PQDs have been fetched and fed to the chosen PNN for efficient modeling. A comparison of the recognition accuracy of the PQDs has been made to that of the conventional statistical parameters extracted directly from the synthetic raw signals. The ST statistical parameters have shown to outperform with an average recognition accuracy of 92.6%. On the contrary, the conventional statistical parameters have provided a lower accuracy of 79.5%. In the case of PNN, the number of hidden layer neurons is made equal to the number of training data. A suitable selection of the spread factor leads to better recognition accuracy as revealed from our results.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122779193","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}
引用次数: 0
Optimal phase compensation of steam turbine governor for power system stabilization 汽轮机调速器对电力系统稳定的最优相位补偿
2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428992
Narayan Nahak, Ramachandra Agrawal, A. Patra, A. Mishra, Arun Agrawal, A. Choudhury
{"title":"Optimal phase compensation of steam turbine governor for power system stabilization","authors":"Narayan Nahak, Ramachandra Agrawal, A. Patra, A. Mishra, Arun Agrawal, A. Choudhury","doi":"10.1109/ODICON50556.2021.9428992","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428992","url":null,"abstract":"The usage of governor control has been much emphasized in present deregulated market for optimal use of existing infrastructure. In this context the efficacy of existing steam turbine governor system needs much improvement for power system stabilization. In this work optimal phase compensation of steam turbine governor is proposed to damp electromechanical oscillations in power system for stabilizing power system. The compensation and steam turbine governor parameter are optimized by Salp Swarm Optimization (SSO) algorithm and has been compared with swarm and evolutionary algorithms like DE and PSO. The disturbance considered is step and frequent change in the mechanical input power to generator. Time and frequency response analysis are performed to justify the effect of proposed control action. It was observed that with optimal phase compensation in the turbine governor loop, the electromechanical oscillations can be damped much effectively without affecting voltage control loop.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129162610","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}
引用次数: 2
Composite System Adequacy Assessment Using Monte Carlo Simulation and Logistic Regression Classifier 基于蒙特卡罗模拟和逻辑回归分类器的复合系统充分性评估
2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9429000
Sangit Poudel, Nava Raj Karki
{"title":"Composite System Adequacy Assessment Using Monte Carlo Simulation and Logistic Regression Classifier","authors":"Sangit Poudel, Nava Raj Karki","doi":"10.1109/ODICON50556.2021.9429000","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9429000","url":null,"abstract":"This paper presents a new method that combines Logistic Regression Classifier (LRC) and Monte Carlo Simulation (MCS) to evaluate the adequacy of a composite power system. LRC is used to pre-classify the system states as failure or success based on training data set provided by conventional MCS itself, but with a relaxed error tolerance level. The proposed method is applied to the IEEE Reliability test system (IEEE-RTS-79) to calculate the annualized and annual indices.The results thus obtained are compared with that of conventional MCS. In different cases, the simulation results provide a significant improvement in computational burden and indices calculation time while maintaining resonable accuracy.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132339098","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}
引用次数: 0
Optimal Design and Performance Survey of a 100kWP Grid-Connected PV Plant for Installation near the Top Ranked Green City of India 印度绿色城市附近100kWP并网光伏电站优化设计与性能调查
2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428966
P. Satpathy, Sobhit Panda, A. Mahmoud, Renu Sharma
{"title":"Optimal Design and Performance Survey of a 100kWP Grid-Connected PV Plant for Installation near the Top Ranked Green City of India","authors":"P. Satpathy, Sobhit Panda, A. Mahmoud, Renu Sharma","doi":"10.1109/ODICON50556.2021.9428966","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428966","url":null,"abstract":"Grid-connected PV systems are mainly designed to generate clean energy for meeting the rising energy demand. The operation and performance of the PV systems can be predicted using various installation factors such as location, meteorological data, orientation, optimal component setup, loss analysis and energy yield calculation. This paper focuses on a detailed survey of a 100 kWp grid-connected PV plant in term of location, plant design, orientation, components selection, losses analysis, array generation, inverter performance and energy yield. The investigation has been carried out for a location named Jatani which is near to one of the top ranked green city of India i.e. Bhubaneswar using the most reliable PVsyst software. The study can help the PV installers to determine the appropriate constraints for optimal sizing and designing of a 100kWP PV power plant.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127549787","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}
引用次数: 3
A comparative analysis between a single loop PI, double loop PI and Sliding Mode Control structure for a buck converter 对降压变换器的单环PI、双环PI和滑模控制结构进行了比较分析
2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428986
S. Mohanty, Abhijeet Choudhury, S. Pati, S. Kar, Subhendu Khatua
{"title":"A comparative analysis between a single loop PI, double loop PI and Sliding Mode Control structure for a buck converter","authors":"S. Mohanty, Abhijeet Choudhury, S. Pati, S. Kar, Subhendu Khatua","doi":"10.1109/ODICON50556.2021.9428986","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428986","url":null,"abstract":"This paper presents the performance of a buck converter using three different types of control structures namely PI Controller based single loop structure, PI Controller based double loop control structure and Sliding mode Controller based control structure. The major objective of this work is to focus on the control structure of the buck converter to provide robust and accurate performance irrespective of any variation, either in the input side or in the output side or else in any parametric variations like Inductances and Capacitances variations. Moreover the result shows the efficacy of the sliding mode control to be much more reliable and efficient as compared to other two control structures. The entire system is simulated and results are obtained using MATLAB/Simulink platform.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125599551","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}
引用次数: 2
An Chaotic Pseduo Inverse Polynomial Perceptron Network for Short Term Solar Power Prediction 一种混沌伪逆多项式感知器网络用于短期太阳能发电预测
2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428998
Shaktinarayana Mishra, Smrutirekha Pattnaik, P. Satapathy, L. Tripathy, P. Dash
{"title":"An Chaotic Pseduo Inverse Polynomial Perceptron Network for Short Term Solar Power Prediction","authors":"Shaktinarayana Mishra, Smrutirekha Pattnaik, P. Satapathy, L. Tripathy, P. Dash","doi":"10.1109/ODICON50556.2021.9428998","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428998","url":null,"abstract":"High precision prediction of solar power generation is very much necessary with the continuous increase of grid connected solar electricity. The accurate power prediction is extremely important for the optimal scheduling and safe operation of the grid. In this paper, an Chaotic Water Cycle Algorithm (CWCA) based Pseudo Inverse Polynomial Perceptron Network (PIPPN) is proposed to accurately predict the solar power for different weather condition and for different time horizon. The random input layer weights of the PIPPN are optimized using the CWCA. Here, a sinusoidal chaotic map is applied to diversify the populations to improvise the performance of the basic PIPPN. The chaos in proposed Chaotic PIPPN (CPIPPN) helps to predict the future solar power very efficiently. The performance of the proposed CPIPPN model is verified through various performance measures. The dominance and diversity of the proposed CPIPPN method is verified against the basic Polynomial Perceptron Network (PPN) and PIPPN for 5 minute and 1 hour ahead time horizon.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125304447","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}
引用次数: 1
Fault Classification for DG integrated Hybrid Power System using Wavelet Neural Network Approach 基于小波神经网络的DG综合混合电力系统故障分类
2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428944
A. Bhuyan, B. Panigrahi, Subhendu Pati
{"title":"Fault Classification for DG integrated Hybrid Power System using Wavelet Neural Network Approach","authors":"A. Bhuyan, B. Panigrahi, Subhendu Pati","doi":"10.1109/ODICON50556.2021.9428944","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428944","url":null,"abstract":"This paper presents a novel fault classification technique which uses Wavelet Neural Network (WNN) based approach. The data for the fault classification is obtained using MATLAB Simulation program for 30kv, 100km, Distributed generators (DG) integrated hybrid network. The two DGs connected in the proposed test system are Wind DG and Photovoltaic (PV) DG. The target of this work is to classify the fault correctly in the proposed test system. The data set collected from the point of common coupling (PCC) is with various conditions of fault with a distinct resistant level. It is clear from the results that the proposed method of classification of faults using WNN is able to correctly recognize the faults with very high accuracy in the simulated model of hybrid network.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116826917","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}
引用次数: 3
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