{"title":"Effect of Communication Delay on Steady State Voltage in DC Microgrids","authors":"A. Shyam, Anubrata Das, S. R. Sahoo, S. Anand","doi":"10.1109/NPSC57038.2022.10069847","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069847","url":null,"abstract":"Critical loads in a dc microgrid require the terminal voltages within acceptable limits. Thus secondary controllers are used to attain proportional current sharing and/or good voltage regulation. Depending on the number of communicated variable, the relevant techniques can be broadly categorized as one variable (either current or voltage) and two variable (both current and voltage) per converter communication based control techniques. In any practical network, communication delay is always present which affects both transient and steady state performance of the system. Therefore, to ensure the reliable operation of communication based control techniques, it is imperative to investigate the effect of delay on the system performance. In this work, how the delay in the communication network affects the steady state value of converter terminal voltage is investigated for both one or two variable communication based control techniques. A generalised mathematical expression is derived to establish the relation between the delay and the steady state value of the terminal voltage. Finally, the established mathematical expression is validated in a laboratory scale dc microgrid prototype.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121344766","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}
Anisha Chopra, S. Bhattacharya, Priyanshi Aggarwal, M. Agarwal, Sheikh Shadruddin, R. Porwal, S. Narasimhan
{"title":"Remodeling the Landscape of India’s Natural Gas Market through synergy between gas and electricity grids","authors":"Anisha Chopra, S. Bhattacharya, Priyanshi Aggarwal, M. Agarwal, Sheikh Shadruddin, R. Porwal, S. Narasimhan","doi":"10.1109/NPSC57038.2022.10068945","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10068945","url":null,"abstract":"Natural gas demand in India has increased significantly in recent years as a result of development of transmission and distribution infrastructure, cost savings from using natural gas instead of alternative fuels, environmental benefits of natural gas as a fuel, and overall favourable economics of supplying gas at reasonable prices to end consumers. The power and fertilizer industries continue to be the two largest contributors to natural gas demand in India, accounting for more than 55 percent of total gas consumption. However, a proactive enabling environment is required to facilitate the rapid expansion of natural gas infrastructure. The provision of desirable governmental support and the appropriate pricing signals for investment in the industry enable to reform the present set of regulations to adopt to changing needs and making them more robust and addressing the distortions in the fiscal regime applicable for natural gas. In this paper, the existing infrastructure of Natural gas in India is being discussed. Also, brief overview of US markets and European markets in terms of Natural gas is being discussed to provide an overview of International markets. The regulatory angle of Indian gas sector is being discussed citing all the relevant existing rules and regulations. This paper aims to analyse how the common system operator for gas and power can be envisaged in the future by discussing points of similarities between Electricity and gas transmission system and by citing real time examples from International experience.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127078320","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":"Discrete Time Distributed Secondary Control of AC Microgrid: A Digital Control Approach","authors":"Devakumar Annavaram, Abhishek Nayak, Sukumar Mishra","doi":"10.1109/NPSC57038.2022.10069953","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069953","url":null,"abstract":"Distributed control of microgrids are becoming popular due to their scalability and reliability. Most distributed controllers designed for the microgrids are in the continuous time domain and subsequently implemented on digital controllers, which work in discrete time. Due to sampling time concerns, continuous time-domain control gains may not function well for digital controllers. This paper presents a discrete-time distributed secondary control to achieve frequency restoration and average voltage control in an ac microgrid. The proposed distributed frequency control ensures frequency restoration while maintaining proportionate active power sharing. The distributed voltage and reactive power control guarantee the average microgrid voltage is restored to the reference value and achieves proportionate reactive power sharing. Simulation in MATLAB/Simulink to verify the effectiveness of the proposed control scheme. The proposed controller is implemented on a digital FPGA controller and tested the experimental setup with different loads, and the results are presented.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127381716","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}
Anand Balachandran, Soumit Bhowmick, B. Jagyasi, Gopali Contractor
{"title":"Cluster Head Federates for Distributed Energy Resources","authors":"Anand Balachandran, Soumit Bhowmick, B. Jagyasi, Gopali Contractor","doi":"10.1109/NPSC57038.2022.10069118","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069118","url":null,"abstract":"Accurate forecasting of energy demand is important for planning energy generation and distribution. For energy demand forecasting with distributed energy resources (DER), the central server typically collects data from individual nodes to train deep-learning based models resulting in more accurate predictions than models trained at the individual node level. This however result in concerns about data privacy. Federated learning provides an alternative to train the models collaboratively at distributed nodes without sharing the data.We present a novel Smart Cluster Head Client based Federated Learning (SCHC-FL) approach in which cluster-heads act as smart clients for contributing in federated learning. The open power system data (OPSD) with 54 nodes have been used to create a scenario of energy demand forecasting in distributed energy resources. We present the comparison of the proposed SCHC-FL approach with the existing federated learning and non-federated learning based approaches. Our proposed approach results in up to six times quicker training than other federated learning based approaches with comparable accuracy on convergence.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125554215","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":"Cross Subsidy in Loss Allocation in Power Distribution Network Based on Game Theory Approach","authors":"Himesh Kumar, D. Khatod","doi":"10.1109/NPSC57038.2022.10069651","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069651","url":null,"abstract":"The loss occurring in a power distribution network is allocated to the users to recover it. The allocation of losses should be fair, transparent and consider users’ contributions to losses. It should also be free from cross subsidy, i.e., any user should not be subsidized over others. It necessitates a mechanism to identify and quantity cross subsidy in the results of loss allocation. This paper, therefore, investigates the cross subsidy by modeling the distribution network as a cooperative game. The coalition of loads and distributed generators is separately modeled as a surplus game and cost game. In surplus and cost games, a subsidy-free allocation lies within the core, and the deviation from the subsidy-free solution is utilized to determine the level of cross-subsidization. The proposed method is applied to the results of various loss allocation methods such as prorata, branch current decomposition method, Shapley value-based method, and $tau-$value based method for cross subsidy evaluation. The results are tested in three different test systems, and the findings are analyzed and discussed in this paper.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122711993","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 Fault Classification Method For Power Transmission Line Connected to Converter Interfaced Renewable Power Plants","authors":"Yasir Ullah Khan, O. Naidu, Anu Pradhan","doi":"10.1109/NPSC57038.2022.10069710","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069710","url":null,"abstract":"The presence of CIRPP in the network heavily impacts the current and voltage signals during the fault compared to conventional generation systems. Such a significant impact of CIRPP affects the performance of available phase selection techniques. In this paper, a method for fault classification for networks connected with CIRPPs is proposed. The proposed method uses the local voltage data at the relay location. The positive and zero sequence angle indices are calculated using the sequence voltage components. The fault is classified by comparing these indices with a pre-defined range of positive and zero sequence angles. The proposed method is tested for transmission lines connected to different renewable sources (Wind type IV, Wind type III, Solar PV) and modified IEEE 39 bus system using PSCAD/EMTDC simulations. The proposed technique is unaffected by fault resistance variations and is independent of diverse CIRPPs control operations. The reliability and speed of the proposed method is found to be superior compared to available methods.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122732376","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":"Directional Relaying Applying Phase Quantities of Current Traveling Wave and Prefault Voltage","authors":"Kuldip Nayak, A. Pradhan","doi":"10.1109/NPSC57038.2022.10069022","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069022","url":null,"abstract":"A traveling wave-based line protection scheme identifies the direction of fault by comparing the polarities of prefault modal voltage and modal current wavefronts appearing at the relay location. Analysis of modal components involves more signals (six voltages and six currents) compared to the phase domain signals (three voltages and three currents), which burdens the hardware circuitry at high sampling rates (1 MHz) used for traveling wave extraction. In this paper, an improved solution for the directional relaying scheme is proposed by utilizing the prefault phase voltage samples along with phase current traveling waves, thereby avoiding the analysis of modal networks and reducing the associated computational burden. The method is not affected by the transient response of capacitive voltage transformers, and a high sampling rate for voltage signals is not required. Its performance is evaluated by simulating various faults on a 400 kV transmission network in PSCAD and found to be promising.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123027780","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}
M. Rao, Pushpa Seshadri, P. Sanodiya, Priyam Jain, Saibal K. Ghosh, Srinivas Chitturi, Vishal Puppala
{"title":"Experience of Induced and Resonance Voltage phenomenon in EHV Grid: Case study from Western Regional grid of India","authors":"M. Rao, Pushpa Seshadri, P. Sanodiya, Priyam Jain, Saibal K. Ghosh, Srinivas Chitturi, Vishal Puppala","doi":"10.1109/NPSC57038.2022.10069725","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069725","url":null,"abstract":"Extra High Voltage (EHV) transmission network in India is being augmented to meet the rising demand and to handle the challenges associated with the growing penetration of Renewable Energy Sources (RES). It is inevitable that the transmission lines are installed using double circuit or multi circuit towers to minimize the Right-of-Way (RoW) requirement. However, voltage and currents can be induced into opened transmission lines by the electric and magnetic fields generated by the energized transmission lines located on the same tower or in the vicinity of de-energized transmission line. This paper presents a case study of observed induced and resonance voltage phenomenon while charging of EHV line in Western Regional grid and mitigation measures taken by system operator to facilitate the charging of transmission line. This case study also highlight the utilization of synchrophasors for analyzing the event and evaluation of mitigation measures.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116999419","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 Analytical Approach for the Determination of Regions with Maximum RoCoF","authors":"Amlan Maity, D. Brahma, N. Senroy","doi":"10.1109/NPSC57038.2022.10069511","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069511","url":null,"abstract":"Maintaining the frequency is a relevant challenge in the field of power systems due to the continuous shift from conventional synchronous generation to converter-based generation, and the rate of change of frequency (RoCoF) plays a vital role in it. This paper proposes an analytical approach to determine the regions with maximum RoCoF for disturbances in the lowest inertia areas of the power system. The method is based on analyzing different system characteristics like inertia, electrical distance and power deviation, which affect the RoCoF, and thereby determine the overall contribution of these factors to the magnitude of the RoCoF. A correlation-regression based strategy is employed to determine an analytical expression that accurately specifies the regions of the IEEE 68 bus system with the highest RoCoFs. The expression obtained is also validated with the results from IEEE 39 bus system.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129363976","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}
Mohan Krishna Banda, S. Madichetty, Sukumar Mishra
{"title":"Design of ANN Based Controller for Battery Charging Using Synchronous Buck Converter","authors":"Mohan Krishna Banda, S. Madichetty, Sukumar Mishra","doi":"10.1109/NPSC57038.2022.10069387","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069387","url":null,"abstract":"This article presents the design of an artificial neural network (ANN) controlled one-and-a-half kilowatt capacity synchronous buck converter(SB) that can be used to charge lead-acid batteries. The most commonly used lead-acid battery charger requires a buck converter with a constant current voltage (CC-CV) algorithm to charge batteries. The conventional charges have various disadvantages; the traditional buck converter losses are negotiated by replacing the diode with MOSFET to improve efficiency. The conventional PI-based control algorithm design is complex and entirely depends on the system dynamics. The proposed data-driven ANN controller simplifies the control logic for battery charging. The proposed scheme has been tested on a test bed wherein the hardware components like a solar emulator, SB, controller and a 12V, 42Ah lead-acid battery has been used. The pulses from ANN-based control logic have been given from the micro-controller to the gate driver circuit that drives both MOSFETs’. The complete ANN algorithm has been performed in standalone mode by deploying the algorithm entirely onto a micro-controller. It is also observed that 95% of efficiency has been achieved with the proposed scheme.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126992002","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}