{"title":"Optimal Distributed Generation and Network Reconfiguration Strategy to Enhance System Performance Under Time Varying Voltage Dependent Loads","authors":"A. K. Barnwal, A. Srivastava, M. K. Verma","doi":"10.1109/NPSC57038.2022.10068892","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10068892","url":null,"abstract":"This paper presents a methodology of network reconfiguration (NR) in presence of distribution generation (DG) unit for time varying voltage dependent loads in a distribution network. DG is placed optimally at the location determined by calculating the sensitivity index based on voltage stability. The technique of Particle Swarm optimization is preferred for calculating the optimal size of DG. In this work two different types of varying loads are considered. One is Residential summer night loads and the other is Electric Vehicle type loads. There are two prominent objectives of the proposed methodology, first, losses reduction and, second, to improve the voltage profile of the system. The ultimate attempt of this work is to increase the reliability of the system by using a renewable based DG in order to have better resilience of the system. For reconfiguration of the network the look up tie-switches opening table is presented. The proposed methodology is effectuated on a 33-node distribution network which has four feeders with one substation.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"17 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":"115628141","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}
Shakti Vashisth, P. Agrawal, N. Gupta, K.R. Naizi, A. Swarnkar
{"title":"Integration and Co-ordinated Operation of Stationary Batteries with Fast Charging Stations","authors":"Shakti Vashisth, P. Agrawal, N. Gupta, K.R. Naizi, A. Swarnkar","doi":"10.1109/NPSC57038.2022.10069445","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069445","url":null,"abstract":"Plug-in electric vehicles (PEVs) will be a worthwhile share of the transportation system in a near future. Nevertheless, a large network of Fast Charging Stations (FCSs) is essential to enable the PEVs to be competitive with traditional vehicles for long distances. FCS creates heavy loading on the distribution system owing to the high power requirement for simultaneously charging various PEVs. This significant loading results in heavy stress on the system, which could negatively impact the grid performance. An electric energy storage system integration inside the FCS could mitigate these impacts. In this paper, an investigation of the impacts of FCSs on the distribution system has been performed. Furthermore, an analytical approach for coordination of charging/ discharging of stationary batteries (SB: a unit containing some batteries is used as an energy storage system) with FCS is developed. Which addresses technical issues such as peak demand, voltage profile deviation, and power loss in the system. The stationary batteries are used in two modes grid to the battery (G2B) and battery to the vehicle (B2V) for optimal coordination of SB with FCS. The simulations are carried out on the IEEE-33 bus distribution system.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"101 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":"115749681","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":"Energy Assessment of Academic Campus: IIT Gandhinagar as a Case Study","authors":"B. K. Jha, A. Tiwari, N. Pindoriya","doi":"10.1109/NPSC57038.2022.10069471","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069471","url":null,"abstract":"This case study examines the Indian Institute of Technology Gandhinagar (IITGN) campus’s monthly energy consumption profile in detail to understand how it varies according to academic calendar, seasonal variability, and the recent COVID 19 pandemic. In addition, a detailed assessment of the electricity bill and its sub-component calculations are intended to understand how the energy consumption pattern affects the overall monthly electricity bill. From this study, it is observed that the energy consumption of academic areas, hostel areas, and chiller plants account for 80-90% of total energy consumption. The on-site solar PV energy generation at IITGN campus accounts for 1014% of total monthly energy consumption, which varies greatly by season. The analyses performed in this paper were inferred by three years of historical data of actual energy consumption and monthly electricity bills. Based on the analysis presented in this paper some recommendations towards the energy conservation measures are also given.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"25 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":"128294084","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":"Extended Nonlinear Disturbance Observer-aided Robust Controller for Frequency Regulation of a Hybrid Power System","authors":"Aman Tiwary, Dipayan Guha","doi":"10.1109/NPSC57038.2022.10069106","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069106","url":null,"abstract":"This work presents a resilient frequency controller based on an extended nonlinear disturbance observer (ENDO) for an autonomous hybrid power system (hyPS) with mismatched uncertainties. The proposed ENDO estimates the unknown lumped plant uncertainties, including exogenous plant disturbance and parametric uncertainty. Subsequently, a refined sliding mode control action is formulated by augmenting this estimation for effective damping of frequency oscillations of hyPS. An updated sliding manifold is introduced to accelerate state convergence rate and ensure finite time convergence. The boundedness of disturbance estimation error and closed-loop stability with an ENDO-aided frequency controller has been guaranteed considering the Lyapunov theorem. The efficacy of the developed control system has been shown over other well-known controllers reported in the literature under diverse operating conditions. Analysis of the system performances demonstrates the supremacy of the developed resilient control methodology in terms of fast damping of system oscillations, least chattering in control input, and robustness.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"15 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":"129627315","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. Saini, P. Bhui, A. Singh, F. Haq, Chakravarthi Kotakonda
{"title":"Impact of False Data Injection Attacks in Wide Area Damping Control","authors":"A. Saini, P. Bhui, A. Singh, F. Haq, Chakravarthi Kotakonda","doi":"10.1109/NPSC57038.2022.10069455","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069455","url":null,"abstract":"Wide area measurement based damping controllers are used to mitigate the inter-area oscillations in a large geographically distributed power system. The performance of wide area damping control (WADC) heavily relies on cyber and physical infrastructure. As the measured input signals used in WADC are transferred to the controller location via a communication channel, it is prone to cyber-attacks. The attacker can inject malicious data into the WADC measurements and/or control signals. This paper focuses on modeling and analyzing the impact of different types of false data injection (FDI) attacks on the WADC control signals, namely, sinusoidal attack, triangular attack, saw-tooth attack, ramp attack, pulse attack, random attack, and replay attack. The control architecture for analyzing these attacks consists of power system stabilizers placed on each generator for damping of local modes and an $H_{2}/ H_{infty} $ based WADC controller for damping of inter-area modes in Kundur’s 4-machine 2-area test system. Different types of attacks were compared for their severity, and it has been found that a sinusoidal attack has the highest severity of all the analyzed FDI attacks. The results obtained in this paper will be useful in implementing the cyber-attack detection and mitigation algorithms.","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":"127442999","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":"Controller-Hardware-in-the-Loop Simulation Setup using a Real-Time Hybrid Simulator for Testing of Wide-area Damping Controllers","authors":"K. Gajjar, Kapil Chauhan, A. Kulkarni","doi":"10.1109/NPSC57038.2022.10069003","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069003","url":null,"abstract":"Poorly damped low-frequency inter-area electro-mechanical oscillations are a major concern in large synchronous grids. Embedded power electronic actuators such as HVDC and FACTS devices with wide-area damping controllers (WADCs) can be an effective solution to this problem. A WADC uses the synchrophasor measurements from the phasor measurement units (PMUs) installed across the system. This paper illustrates the controller-hardware-in-the-loop (CHIL) simulation setup for testing a WADC using a real-time hybrid simulator (RTHS). The RTHS does real-time co-simulation using a transient stability program (TSAT) and a real-time simulator that simulates electromagnetic transients. A two-area four-machine test system with an embedded HVDC link is used for demonstration.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"32 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":"128973998","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":"Unsupervised Learning based Intrusion Detection for GOOSE Messages in Digital Substation","authors":"Devika Jay, Himanshu Goyel, Umayal Manickam, Gaurav Khare","doi":"10.1109/NPSC57038.2022.10069042","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069042","url":null,"abstract":"Implementation of IEC-61850 in the electrical substations has transformed them into digital substations. However, this has also exposed the communication network of the substation to cyberattacks, where an attacker can temper with GOOSE messages. To protect digital substations from potential cyberattacks, an effective intrusion detection system is very much required. Hence, in this work an unsupervised learning based intrusion detection system is proposed, which can detect the anomalies in GOOSE packets transmitted within the substation. Two unsupervised learning techniques, DBSCAN and autoencoder, are used in this work to develop an intrusion detection system, and their performance in detecting payload corruption is evaluated through numerical simulations.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"48 15 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":"131034487","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":"Control Systems Testing with a Flexible Co-simulation Interface to PSCAD/EMTDC","authors":"A. Damle, O. Nayak, A. Gole, A. Sinkar","doi":"10.1109/NPSC57038.2022.10069889","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069889","url":null,"abstract":"This paper discusses a general-purpose co-simulation interface to a non-real-time electromagnetic transient (EMT) simulation software called PSCAD. The interface uses embedded Python interpreter which supplements the EMT capabilities with powerful mathematical functions and scripting facilities. The co-simulation is demonstrated with an example of controls implemented in Python running on a personal computer (PC) as well as the same controls running on a Raspberry Pi Pico microcontroller via an interrupt-based processor-in-loop (PIL) version of the interface. The PIL platform allows for rapid development, validation, testing, and prototyping of the control algorithm on a hardware platform. The paper presents the advantages of performing PIL co-simulation using a powerful scripting language such as Python embedded into an EMT simulation. It includes comprehensive details of the interface along with controller source code to help readers implement it. The power systems example used to demonstrate the interface is a boost converter implemented in PSCAD.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"38 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":"123087805","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":"Evaluation of Fault Detection Algorithms for Photovoltaic Array Using Distributed Machine Learning Platform","authors":"Apoorva Choumal, V. Yadav","doi":"10.1109/NPSC57038.2022.10069621","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069621","url":null,"abstract":"The protection of solar photovoltaic (PV) systems has become immensely important in the last several decades due to the exponential growth in the World’s PV power capacity. As a result, fault analysis in PV arrays has evolved into a crucial task for protecting PV modules from damage and minimizing the possibility of occupational hazards. However, PV systems are covered by standard protection mechanisms, although some faults with low mismatch and high fault impedance levels may go undetectable. It might be challenging to discern an anomaly from normal operation due to the often-minute changes in electrical signal magnitude caused by malfunctioning photovoltaic components during such faults. In such cases, data-driven machine learning methods give reliable detection and classification results. This paper presents a workflow to use a machine-learning library of a distributed computing framework, PySpark. PySpark, a Python API for Apache Spark, is a powerful computational engine that efficiently handles enormous data volumes. The key characteristics of I-V curves under various fault occurrences and standard conditions are extracted from a MATLAB simulation of the PV Module for fault detection on the dc side of the PV array. The ML library in PySpark is then used to examine these attributes and detect faults. A confusion matrix addressing soft accuracy, precision, recall, etc., is used in a comparative analysis of several classification methods.","PeriodicalId":162808,"journal":{"name":"2022 22nd National Power Systems Conference (NPSC)","volume":"87 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":"126304246","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":"Stochastic Peer-to-Peer Energy Trading with Price and Incentive Mechanism","authors":"M. Mishra, Amit Singh, R. Misra, Devender Singh","doi":"10.1109/NPSC57038.2022.10069095","DOIUrl":"https://doi.org/10.1109/NPSC57038.2022.10069095","url":null,"abstract":"With the emerging role of the Peer-to-peer (P2P) energy sharing concept in effectively utilising renewable energy resources, the need for a suitable incentivising/pricing method is also increasing. In this work, a cooperative game is formulated in a community of buildings where a community battery energy storage system (CBESS) acts as a player along with other buildings. With the help of generalised Nash bargaining, the problem is formulated and minimised in a decentralised way using ADMM. “Hong’s 2m point estimate method” is used for stochastic modelling renewable generation uncertainties. Suitable incentives are decided to motivate the players to engage in this game of P2P energy sharing. Along with the incentives, prices per unit of energy shared are also calculated. When compared, both methods give almost the same results.","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":"123871467","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}