{"title":"An Ensemble Approach for Short-Term Load Forecasting for DISCOMS of Delhi Across the COVID-19 Scenario","authors":"Manish Uppal, Rumita Kumari, Saurabh Shrivastava","doi":"10.1109/ICPS52420.2021.9670013","DOIUrl":"https://doi.org/10.1109/ICPS52420.2021.9670013","url":null,"abstract":"The Covid-19 has presented unforeseen challenges to the world that has never been experienced before in history. None of the sectors remained unaffected & witnessed various changes in their day-to-day operations. The impact has also been observed in the power sector, which can easily be illustrated with load fluctuations. The balancing of load & supply in the energy sector is itself one of the critical & complex tasks which becomes more vulnerable to deviation in case of these unforeseen events. Despite using advanced systems like machine learning & artificial intelligence for load forecasting, utilities found the task challenging. This paper covers the impact of lockdown on load patterns of the Discoms of Delhi in the year 2020–21. The effect of weather on load is also analysed to demonstrate the critical correlation between them. The performance of the ensemble technique that has been proven beneficial for better load forecasting & has outperformed other existing models, even in the current pandemic situation, has also been analysed & validated through a comparative analysis against popular benchmark models.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"29 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123218201","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":"Evolution of Integrated Multi-Energy Vector System and Innovation Opportunities","authors":"Arpit Mantri, Aaquib Firdous, Chandra Prakash Barala, R. Bhakar, Parul Mathuria","doi":"10.1109/ICPS52420.2021.9670020","DOIUrl":"https://doi.org/10.1109/ICPS52420.2021.9670020","url":null,"abstract":"Increasing energy demands and visibly changing climatic conditions have led to various deliberations to look at and mitigate the effects causing this adversity. The Paris agreement received greater attention from major countries aiming to decarbonize energy systems and adopt more Renewable Energy Sources (RES). In this regard, India is already ahead of its ambitious targets in increasing its RES installation capacity. However, given the nature of these RES, it has increased the challenges in power systems and questioned the prime component of energy trilemma which is the security of supply. These challenges need to be addressed to avoid failures; one way is to exploit the various synergies between different energy systems. This can reduce carbon emission and increase the renewable penetration in the energy system and meet the requirements of the changing energy sector. This can be facilitated using Multi Energy Systems (MES). These systems optimally interact with each other at different levels and can increase the overall technical, economic, and environmental performance relative to existing energy systems which are planned and operated independently or separately. This paper discusses the overview of MES concepts, key components, opportunities in the Indian perspective, challenges, Energy markets and enumerates a few future works in this direction.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122332111","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":"A Coordinated Strategy for Optimal Operation of Unbalanced EDN via BESS, VVO and DSM","authors":"Vineeth Vijayan, A. Mohapatra, S. Singh","doi":"10.1109/ICPS52420.2021.9670101","DOIUrl":"https://doi.org/10.1109/ICPS52420.2021.9670101","url":null,"abstract":"Battery Energy Storage Systems (BESS) and Demand Side Management (DSM) increase the efficiency of voltage control-based optimization in an distribution systems. This work proposes an integrated operation strategy in three-phase distribution systems for loss minimization, peak reduction, and voltage/current unbalance management. For effective implementation of load management, the proposed formulation uses a load-factor improvement scheme. Towards Volt-VAR Optimization (VVO), capacitor banks, voltage regulators, and smart inverters are deployed. Active power from BESS and solar-PV modules are injected into the grid using these inverters and the remaining kVA capacity is utilized towards reactive power support. The optimization problem is applied on the IEEE 123-bus test feeder and solved using Multi-Objective Particle Swarm Optimization. The integrated method provides superior results concerning the objective function, alongside minimizing the switching stress on participating devices.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115040637","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":"An Efficient Travelling Wave based Fault Localization for MTDC Transmission System","authors":"Mahitosh Banafer, S. Mohanty","doi":"10.1109/ICPS52420.2021.9670418","DOIUrl":"https://doi.org/10.1109/ICPS52420.2021.9670418","url":null,"abstract":"This article proposes a low sampling frequency travelling wave-based fault location technique for the MTDC grid. It is based on the matrix pencil method applied on the DC terminal voltage samples in the sliding window moving along the time axis. The sliding matrix pencil method decomposes the voltage signal samples in the sliding window into time-indexed damping factors. In the absence of a travelling wave, the damping factor is zero. But in the presence of a travelling wave, depending on the position of the travelling wave in the sliding window, the damping factor is either positive, negative, or zero. After that linear regression is used to find the zero-crossing point of the time-indexed damping factor, which will help further to calculate the travelling wave arrival time. Finally, first travelling arrival time information from both DC terminal end will help to calculate the estimated DC fault location at the low sampling frequency.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129540517","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":"Classification of Polluted Silicone Rubber Micro Nanocomposites Based on ESDD Using ANN","authors":"P. Vinod, M. S. Babu, R. Sarathi, S. Kornhuber","doi":"10.1109/ICPS52420.2021.9670252","DOIUrl":"https://doi.org/10.1109/ICPS52420.2021.9670252","url":null,"abstract":"Silicone rubber micro nanocomposites are coated with various types of pollutant with variation in concentration and the laser-induced breakdown spectroscopy (LIBS) technique is used to understand the pollution performance of test specimens. The chemical composition of the contamination present on the sample was effectively established via elemental analysis of LIBS spectra. The equivalent salt deposition density (ESDD) and the normalized intensity ratio of LIBS spectral data have a direct relationship. In order to correlate the normalized LIBS spectral data intensity ratio and ESDD, the regression coefficient ($R^{2}$) is employed to determine its performance. The LIBS spectral data is used to implement an artificial neural network (ANN) approach to the categorization of contaminated silicone rubber micro nanocomposite samples based on ESDD and pollutant type. In this work, the total hidden layer neurons are selected based on classification accuracy and number of epochs needed for convergence. The developed ANN model is successful in classifying contamination level and type of contamination on silicone rubber specimens with a classification accuracy of 100%.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133343546","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}
Saif Rehman, R. Shukla, Aman Gautam, A. Kabir, Sharif Shamsul Alam, K. Baba, S. Narasimhan, S. Barpanda, S. Soonee
{"title":"Success Story of India-Bangladesh Power System Operation","authors":"Saif Rehman, R. Shukla, Aman Gautam, A. Kabir, Sharif Shamsul Alam, K. Baba, S. Narasimhan, S. Barpanda, S. Soonee","doi":"10.1109/ICPS52420.2021.9670352","DOIUrl":"https://doi.org/10.1109/ICPS52420.2021.9670352","url":null,"abstract":"This paper follows the evolution of electricity grid interconnections between India and Bangladesh over time. The governance, policy, and regulatory framework facilitating the cross-border exchanges is elaborated. The power system scenario in terms of demand and generation of both countries is also discussed. The major operational aspects, viz. operational coordination, data & voice communication, scheduling & dispatch, reactive power management, protection aspects, system protection schemes, outage coordination, and resilience are examined. Future outlook for expanding the energy coordination between India and Bangladesh and the paper concludes with the benefits accruing due to cross-border interconnections.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130278183","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}
A. Singh, Saibal K. Ghosh, Saurav Sahay, C. Kumar, Akash Modi, S. Mondal
{"title":"Application of synchrophasor angular difference as a grid monitoring tool and for assessment of Real time voltage Stability-Case Study","authors":"A. Singh, Saibal K. Ghosh, Saurav Sahay, C. Kumar, Akash Modi, S. Mondal","doi":"10.1109/ICPS52420.2021.9670318","DOIUrl":"https://doi.org/10.1109/ICPS52420.2021.9670318","url":null,"abstract":"This paper investigates about the application of Synchrophasor angular difference for detecting the various grid events which allows operators ease and advancement for grid monitoring. This paper explains the real time grid events and cases observed in eastern regional grid, where Phase angle difference has been used as a grid monitoring index for monitoring and sensitizing the grid stress. Synchrophasor angular difference used for predicting voltage collapse in collaboration with PV curve obtained from PMU, in real time which is very much effective and specially effective for weak nodes with low fault level and nodes with skewed/variable generation pattern. Monitoring Angular difference is of very much importance as system stress can be identified easily, under all set of different scenarios and contingencies. To enhance the situational awareness of grid operators, path flow monitoring along with the angular difference of the path is used for defining operating state of a particular corridor/area of the power system, whether operating in normal, Alert, or emergency state so that with corrective action system can be brought back to normal state. Path angular difference gives an upper hand and can predict about voltage collapse events beforehand and also margins to the knee point can be accessed in terms of angular difference of the path. In real time with the help of synchrophasor data, real time reserve monitoring for the identified path/area can be done so that sufficient margin can be maintained for contingency situations.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116263344","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":"Charging-Cost Minimization of Electric Vehicles and its Impact on the Distribution Network","authors":"Arjun Visakh, S. M P","doi":"10.1109/ICPS52420.2021.9670292","DOIUrl":"https://doi.org/10.1109/ICPS52420.2021.9670292","url":null,"abstract":"Widespread deployment of electric vehicles (EVs) could have adverse effects on the operation of power systems, especially at the distribution level. To prevent network overloads caused by the simultaneous recharge of several vehicle batteries, there is a need for coordinated charging schemes that can optimally schedule the EV charging loads. The scheduling algorithm determines the optimal time and power at which individual EVs should be recharged to achieve certain technical or financial objectives. Technical objectives, such as peak shaving, loss minimization, or voltage enhancement seek to improve the operational aspects of the distribution system. Financial objectives, such as minimization of generation cost or charging cost aim to improve the economics of power distribution. In this paper, the impact of financially-motivated charge scheduling on the operation of a distribution network is examined. The scheduling algorithm seeks to minimize the total charging cost incurred by vehicle owners using convex optimization. The impact of optimized EV charging on the system demand and voltage profile of the test system is analyzed here. The simulated algorithm is able to reduce charging cost and peak load by 30% and 41% while improving the load factor and minimum voltage by 76% and 18%, respectively.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134411003","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":"A Time Varying Filter-EMD Based Intelligent Technique for Protecting UPFC Installed Transmission Line","authors":"Sauvik Biswas, P. K. Nayak, G. Pradhan","doi":"10.1109/ICPS52420.2021.9670194","DOIUrl":"https://doi.org/10.1109/ICPS52420.2021.9670194","url":null,"abstract":"The conventional distance relays exhibit limited performance while used for the protection of unified power flow controller (UPFC) compensated transmission lines (TLs) due to rapid changes of voltage and current signals during various operational modes of UPFC. This paper investigates the impact of the different operating modes of UPFC and propose an improved protection algorithm for the relay. The sign information of one-cycle differences of $alpha$-aerial currents at line ends are used to detect an internal fault. Then, the features extracted from time-varying filtering-empirical mode decomposition (TVF-EMD) are used in the decision tree (DT) classifier for fault type identification. The proposed protection algorithm is verified by creating various fault/non-fault cases in a 220 kV two-bus system modelled in MATLAB/Simulink. The fast response and high accuracy clearly provide adequate ground for the performance of the proposed protection technique for UPFC installed TL.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129402545","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":"Optimal Planning of DG and Shunt Capacitor in a Harmonic Distorted Distribution Network","authors":"R. Prakash, S. Sivasubramani","doi":"10.1109/ICPS52420.2021.9670256","DOIUrl":"https://doi.org/10.1109/ICPS52420.2021.9670256","url":null,"abstract":"Rapidly growing electricity demand and increasing use of advance power electronic devices introduce power quality issues in distribution networks. If these issues go beyond considerable limits, they can affect the efficiency and the reliability of the power system. In this work, the optimal allocation of distributed generation (DG) and shunt capacitor is studied in a distorted network to address various power quality issues. These issues are incorporated by formulating a multi-objective function, considering total harmonic distortion (THD), active power loss and voltage stability index. An Improved Particle Swarm Optimization (IPSO) method with chaotic variation of inertia weight and crossover is applied to the proposed optimization problem. Two cases are formed to show the impact of DG and capacitor integration on a modified IEEE 33 bus-distributed system with non-linear loads. Superiority of the proposed method is observed by comparing the optimal solution obtained with the standard Particle Swarm Optimization and Genetic Algorithm techniques.","PeriodicalId":153735,"journal":{"name":"2021 9th IEEE International Conference on Power Systems (ICPS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122157048","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}