{"title":"Short-term Electricity Price Prediction Using Kernel-based Machine Learning Techniques","authors":"Soumya Prateek Muni, Renu Sharma","doi":"10.1109/ODICON50556.2021.9428972","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428972","url":null,"abstract":"The consumer behavior so as the load pattern frequently changes in a dynamic power system environment. In the case of a deregulated market, it leads to a complex price profile. To make the supplier as well as the consumer a perfect balance should be maintained. Forecasting the market-clearing price (MCP) in these kinds of markets is the most common and essential task to maximize the benefit of both supplier and consumer. This can be done with the help of neural network-based prediction algorithms. It can map the complex interdependencies between electricity price, historical load, internal and external factors. In this work historical data of the Australian market is taken into consideration for short-term price prediction. The most sought after method Extreme learning machine (ELM) is compared with an advanced Kernel-based technique. To give the prediction algorithm more weight interval prediction is also focused on this work. The volume of data is carefully chosen keeping in mind to avoid premature convergence and overfitting. The performance indices like error measurement units in case of point prediction and width and probability assessment units in case of interval prediction are considered in this study. To make this analysis more extensive seven kernel functions are compared with the ELM algorithm.","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":"126042172","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":"Differential Evolution with Dual-mode mutation for parameter estimation of different photovoltaic models","authors":"Shubhranshu Mohan Parida, P. Rout","doi":"10.1109/ODICON50556.2021.9429010","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9429010","url":null,"abstract":"In order to design a photovoltaic (PV) system having superior performance, it is necessary to ensure that the PV system parameters are estimated properly. In the recent past, it is perceived that several authors have given emphasis to the estimation of PV parameters. The problem of PV parameter estimation is formulated in the form of a single objective function expressed as root mean square error (RMSE) between the experimental current and the estimated current values of the PV model under consideration. This objective function is intended to be minimized by evolutionary approach. Although different variants of the Differential Evolution (DE) were proposed in the past, but here Differential Evolution with dual-mode mutation (DEDMM) is projected. This mutation strategy brings improvement in exploration and exploitation capability of DE resulting in better solutions. The experimental I-V datasets are taken into consideration for estimating the parameters of single-diode and double-diode based PV cell models and PV module model. The results portray the effectiveness of DEDMM as compared to other methods suggested recently for parameter estimation of different PV models.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"34 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":"126398492","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}
N. Jena, S. Sahoo, P. Sahu, B. K. Sahu, K. Mohanty
{"title":"Automatic generation control of a renewable energy integrated power system in the presence of fractional order 3DOF controller","authors":"N. Jena, S. Sahoo, P. Sahu, B. K. Sahu, K. Mohanty","doi":"10.1109/ODICON50556.2021.9429009","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9429009","url":null,"abstract":"The prime aim of this paper is to address automatic generation control of a bulky, and intricate power system containing boiler dynamics, generation rate constraints, and governor dead band non-linearities. Along this, the instability caused by inertia less photovoltaic (PV) source is brought into the discourse. To bring the deviations of frequency, and tie-line power inside a particular limit, a reliable, proficient, and expert controller is essential. To have this, higher degrees-of-freedom (DOF) structure is conglomerated with proportional-integral-derivative (PID) controller coordinated by fractional-order (FO) operator to develop 2/3DOF-FOPID controller. Further, these controllers are upgraded to 2/3 DOF-FOPIDN controller by adjoining derivative filter (N). The PID, 2DOF-FOPIDN, and 3DOF-FOPIDN controllers are designed by SOS algorithm. The performance shows that the higher DOF based controllers outweigh the 1DOF-PID controller, and simultaneously, the 3DOF-FOPIDN controller works fabulously over 2DOF-FOPIDN controller. Close by this assessments, the potential, and reliability of 3DOF-FOPIDN controller has been inspected by injecting variable load/PV generation.","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":"114145780","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":"Jaya Algorithm Tuned FO-PID Controller with First Order Filter for Optimum Frequency Control","authors":"Sabita Tripathy, M. Debnath, S. Kar","doi":"10.1109/ODICON50556.2021.9428959","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428959","url":null,"abstract":"Load frequency control in power system has a major influence in managing the frequency of interconnected system. In this article a novel fractional order based PID controller with first order derivative filter (FOPIDF) is projected to regulate frequency oscillations in hybrid generation type unified electrical system. The various generating sources implemented in the two area model are wind, thermal, diesel & hydro units. Proper selection of controller gains can regulate the frequency of the unified system at desired level. Jaya algorithm is applied to attain the suitable gains of the designed FOPIDF controllers. Jaya algorithm tune the controller in the presence of an abrupt disturbance of 2 % in control area 1 utilizing integral time absolute error (ITAE) as the objective/fitness function. In the initial analysis the dominance of FOPIDF controller is witnessed over the PID controller during 2% load deviation in control area 1. In the latter case the efficacy of the projected FOPIDF controller is verified by modifying the loading of the control area 1. The examination of the system responses are presented to establish the ascendency of the projected Jaya tuned FOPIDF controller over existing PID controller on the basis of settling time, undershoots and overshoots.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"149 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":"131144455","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}
S. Choudhury, Nikhil Khandelwal, Tara Prasanna Dash
{"title":"A Unified Scheme of PSS and SVC for Voltage Profile Improvement in Electrical Grid Network","authors":"S. Choudhury, Nikhil Khandelwal, Tara Prasanna Dash","doi":"10.1109/ODICON50556.2021.9428989","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428989","url":null,"abstract":"Power System Stabilizer (PSS) plays a very vital role in enhancing the power system stability and ensuring maximum power transfer in response to a disturbance. However only use of PSS to damp out the oscillations during transient conditions may not be sufficient enough to enhance system stability. Further PSS also introduces great variations in the voltage levels. So, this paper aims to focus on the enhancement of power system stability of a two machine system imperilled to a LLLG fault with the help of the PSS being coordinated with Static Var Compensator (SVC). SVC not only further enhances the voltage stability and brings about better dynamic voltage control but also controls the amount of reactive power in the transmission lines. The system is designed and tested using MATLAB/Simulink environment. The figures found out signifies that the dynamic responses of the system are better in case of unified use of PSS and SVC than that using PSS alone.","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":"130617530","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}
N. Panigrahi, A. Mohapatra, Sruti Mishra, Sabyasachi Sahu
{"title":"Optimization of Performance and Emission characteristics of CI engine with various biodiesel using Taguchi Method","authors":"N. Panigrahi, A. Mohapatra, Sruti Mishra, Sabyasachi Sahu","doi":"10.1109/ODICON50556.2021.9428926","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428926","url":null,"abstract":"This paper deals with biodiesel blend i.e. neem, mahua, polanaga and simarouba oil methyl ester of each. Experimental analysis has been performed separately in a CI engine. Performance along with emission analysis has been conducted. The control parameters selected were Compression ratio (CR), Fuel fraction FF (in %), and Load P (in kg) which have influence on the response. The three selected control parameters at three levels indicates nine trials of experiments have been conducted for each fuel, with the stage of every factor for all test run as specified on the arrangement. The optimal conditions for the control parameters gave optimum responses. The response variable have been optimized was Brake Thermal efficiency (BTE) for maximum value, Brake Specific Fuel Consumption (BSFC) and NOx by the least as much as possible. The signal optimal settings of the parameters were accomplished by the ratio of signal to noise (S/N) that helps in data investigation and prediction of the optimal result.","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":"114728742","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}
Sabyasachi Sahu, A. Mohapatra, D. Thatoi, N. Panigrahi
{"title":"Improving Gas Turbine Performance Using Mechanical Chiller: A Thermodynamic Approach","authors":"Sabyasachi Sahu, A. Mohapatra, D. Thatoi, N. Panigrahi","doi":"10.1109/ODICON50556.2021.9428940","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428940","url":null,"abstract":"The improvement in gas turbine power plants by integrating a mechanical chiller to it for cooling the inlet air is the prime objective of this study. The bucket cooling method adopted in this study to cool the turbine buckets has been chosen as film cooling. The selected input parameters have been varied to analyze the power plant output and efficiency at varying conditions and then select the best alternative which will help the design engineers. The integration of mechanical chiller significantly augments the plant output and efficiency. This improvement is more pronounced in hot and humid climates. It was observed that as the compressor inlet temperature is reduced the bucket coolant mass flow rate decreases and the mass of fuel energy input increases. The increase in specific work and efficiency is calculated to be 14.59 % and 4.46 % respectively when the ambient temperature drops to 283K. The work ratio increases with increase in value of ratio of inlet temperatures (rIT) upto 5.6 after which it starts decreasing. There is an optimum rIT at any pressure ratio (rp,c.)at which the work ratio is maximum. The heat rate increases with increase in rIT and decrease in rp,c..","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"13 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":"121231431","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":"Linear Antenna Array Parameter Estimation using a Neuro-computational Approach","authors":"S. Mahapatra, M. Mohanty","doi":"10.1109/ODICON50556.2021.9428955","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428955","url":null,"abstract":"The power of estimating after learning as provided by artificial neural network has helped a lot of researchers to determine solution to many a problem in antenna research. The solutions to most of the problems involved unwieldy and lengthy computations. In this paper, the relationship of beamwidth and gain with respect to the number of antenna elements in a linear antenna system is modelled using a neuro-computational model. The model uses a multi-layer perceptron network. It was found that the network accurately modeled the relationship. The mean square error (MSE) was found to be of the order of 10−9.","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":"129688239","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}
Jogeswar Tripathy, Rasmita Dash, B. K. Pattanayak, Bibhuranjan Mohanty
{"title":"Automated Phrase Mining Using POST: The Best Approach","authors":"Jogeswar Tripathy, Rasmita Dash, B. K. Pattanayak, Bibhuranjan Mohanty","doi":"10.1109/ODICON50556.2021.9429014","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9429014","url":null,"abstract":"Phrase mining is the way toward deriving aspects of expressions from the collection of texts. Several uses of phrase mining include information retrieval/extraction, taxonomy construction, and topic modeling. The existing strategy requires a prepared linguistic analyzer and has an unacceptable execution for new areas since it requires human specialists for labeling the phrase. The phrase generated in those systems for a given input text contains only a single word that may be often unambiguous to the user. The aim is to automate the phrase mining process and enhance its performance. The proposed method is a framework that requires minimal human labeling effort and only shallow linguistic analysis. A POS_tagger is used to extract the important words (nouns and noun phrases) from a text after which text ranking is applied. Then cosine similarity is used to identify the quality phrase from the text. Phrase quality can be estimated at two levels, once after POS_guided segmentation and then re-estimate the score at the end. Compared to the existing method, the proposed method has showna significant improvement in effectiveness and efficiency across different domains. This technique can be reached out to support any language up to a normal learning base (e.g. Wikipedia) of comparing vocabulary is accessible.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"21 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":"122146760","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}
Sonalika Mishra, P. C. Nayak, Umesh Chandra Prusty, R. Prusty
{"title":"Model predictive controller based load frequency control of isolated microgrid system integrated to plugged-in electric vehicle","authors":"Sonalika Mishra, P. C. Nayak, Umesh Chandra Prusty, R. Prusty","doi":"10.1109/ODICON50556.2021.9428956","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428956","url":null,"abstract":"This paper introduces a model predictive controller for load frequency control of an isolated ac microgrid system, clustered with the wind system, solar system, and plugged in an electric vehicle. The model predictive controller is an active model-based control which predicts a signal for future control action based on past, present, and future variable of the system. The present study involves a model predictive controller for microgrid load frequency control in the presence of an electric vehicle as a maiden work. The controlled structure formed on the basics of minimization of controller error. The robustness of the controller is tested under a different type of source power fluctuation, load power fluctuation, and simultaneous source and load fluctuation. The predominance of the projected approach is related to conventional GA tuned PID and PI controller. The pragmatic picture of the efficiency of this work is shown by testing it against sinusoidal load perturbation.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"60 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":"115149656","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}