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A Routing and Link Scheduling Strategy for Smart Grid NAN Communications [article]

Shuchismita Biswas, Virgilio Centeno
2019 arXiv   pre-print
As large scale deployment of smart devices in the power grid continues, research efforts need to increasingly focus on efficient communication of generated information. This paper describes a strategy for static routing and scheduling of messages in a multi-hop wireless Smart Grid Neighborhood Area Network (NAN) with multiple source nodes and a common set of destinations or gateways. The problem is formulated as a Mixed Integer Linear Program (MILP) and solved using commercial optimization
more » ... r CPLEX. Feasibility of the scheme is demonstrated using different network models, constraints, message injection rates, and initial conditions. It is shown that the proposed approach can be used to generate an optimal link schedule for collecting user-generated bids in a transactive energy market in the least possible time. It is also shown that the methodology is applicable to multiple destination nodes and that their location affects message delivery time.
arXiv:1911.04426v1 fatcat:tzkjfi2qgramrlvn5vtjdhy5sy

Chance-Constrained Optimal Distribution Network Partitioning to Enhance Grid Resilience [article]

Shuchismita Biswas, Manish K. Singh, Virgilio Centeno
2020 arXiv   pre-print
This paper formulates a chance-constrained optimal distribution network partitioning (ODNP) problem addressing uncertainties in load and renewable energy generation; and presents a solution methodology using sample average approximation (SAA). The objective is to identify potential sub-networks in the existing distribution grid; that are likely to survive as self-adequate islands if supply from the main grid is lost. This constitutes a planning problem. Practical constraints like ensuring
more » ... k radiality and availability of grid-forming generators are considered. Quality of the obtained solution is evaluated by comparison with: a) an upper bound on the probability that the identified islands are supply-deficient, and b) a lower bound on the optimal value of the true problem. Performance of the ODNP formulation is illustrated on a modified IEEE 37-bus feeder. It is shown that the network flexibility is well utilized; the partitioning changes with risk budget; and that the SAA method is able to yield good quality solutions with modest computation cost.
arXiv:2009.03380v1 fatcat:rj4g4ueyf5gm5mad3k7bqpi3q4

A Model-Agnostic Method for PMU Data Recovery Using Optimal Singular Value Thresholding [article]

Shuchismita Biswas, Virgilio A. Centeno
2021 arXiv   pre-print
This paper presents a fast model-agnostic method for recovering noisy Phasor Measurement Unit (PMU) datastreams with missing entries. The measurements are first transformed into a Page matrix, and the original signals are reconstructed using low-rank matrix estimation based on optimal singular value thresholding. Two variations of the recovery algorithm are shown- a) an offline block-processing method for imputing past measurements, and b) an online method for predicting future measurements.
more » ... ormation within a PMU channel (temporal correlation) as well as from different PMUchannels in a network (spatial correlation) are utilized to recover degraded data. The proposed method is fast and needs no explicit knowledge of the underlying system model or measurement noise distribution. The performance of the recovery algorithms is illustrated using simulated measurements from the IEEE 39-bus test system as well as real measurements from an anonymized U.S. electric utility. Extensive numeric tests show that the original signals can be accurately recovered in the presence of additive noise, consecutive data drop as well as simultaneous data erasure across multiple PMU channels.
arXiv:2108.03220v1 fatcat:ga63okx6pvajdmmywceb4xclay

Proactive Islanding of the Power Grid to Mitigate High-Impact Low-Frequency Events [article]

Shuchismita Biswas, Emanuel Bernabeu, David Picarelli
2019 arXiv   pre-print
This paper proposes a methodology for enhancing power systems resiliency by proactively splitting an interconnected grid into small self-sustaining islands in preparation for extreme events. The idea is to posture the system so that cascading outages can be bound within affected areas, preventing the propagation of disturbances to the rest of the system. This mitigation strategy will prove especially useful when advance notification of a threat is available but its nature not well understood.
more » ... our method, islands are determined using a constrained hierarchical spectral clustering technique. We further check the viability of the resultant islands using steady-state AC power flow. The performance of the approach is illustrated using a detailed PSS/E model of the heavily meshed transmission network operated by PJM Interconnection in the eastern USA. Representative cases from different seasons show that variations in power flow patterns influence island configuration.
arXiv:1911.04440v1 fatcat:ouln4ogayrfd7hiqambwgv6b4y

DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems [article]

Shuchismita Biswas, Rounak Meyur, Virgilio Centeno
2019 arXiv   pre-print
Frequently recurring transient faults in a transmission network may be indicative of impending permanent failures. Hence, determining their location is a critical task. This paper proposes a novel image embedding aided deep learning framework called DeVLearn for faulted line location using PMU measurements at generator buses. Inspired by breakthroughs in computer vision, DeVLearn represents measurements (one-dimensional time series data) as two-dimensional unthresholded Recurrent Plot (RP)
more » ... s. These RP images preserve the temporal relationships present in the original time series and are used to train a deep Variational Auto-Encoder (VAE). The VAE learns the distribution of latent features in the images. Our results show that for faults on two different lines in the IEEE 68-bus network, DeVLearn is able to project PMU measurements into a two-dimensional space such that data for faults at different locations separate into well-defined clusters. This compressed representation may then be used with off-the-shelf classifiers for determining fault location. The efficacy of the proposed framework is demonstrated using local voltage magnitude measurements at two generator buses.
arXiv:1911.03759v1 fatcat:6qrzii4edjdnjiu3w6amzgjtvy

Deep Neural Network based Wide-Area Event Classification in Power Systems [article]

Iman Niazazari, Amir Ghasemkhani, Yunchuan Liu, Shuchismita Biswas, Hanif Livani, Lei Yang, Virgilio Centeno
2020 arXiv   pre-print
This paper presents a wide-area event classification in transmission power grids. The deep neural network (DNN) based classifier is developed based on the availability of data from time-synchronized phasor measurement units (PMUs). The proposed DNN is trained using Bayesian optimization to search for the best hyperparameters. The effectiveness of the proposed event classification is validated through the real-world dataset of the U.S. transmission grids. This dataset includes line outage,
more » ... ormer outage, frequency event, and oscillation events. The validation process also includes different PMU outputs, such as voltage magnitude, angle, current magnitude, frequency, and rate of change of frequency (ROCOF). The simulation results show that ROCOF as input feature gives the best classification performance. In addition, it is shown that the classifier trained with higher sampling rate PMUs and a larger dataset has higher accuracy.
arXiv:2008.10151v1 fatcat:24rmq5cxwrehjk4woyemrx3vxe

Chance-Constrained Optimal Distribution Network Partitioning to Enhance Power Grid Resilience

Shuchismita Biswas, Manish K. Singh, Virgilio A. Centeno
2021 IEEE Access  
This article proposes a method for identifying potential self-adequate sub-networks in the existing power distribution grid. These sub-networks can be equipped with control and protection schemes to form microgrids capable of sustaining local loads during power systems contingencies, thereby mitigating disasters. Towards identifying the best microgrid candidates, this work formulates a chance-constrained optimal distribution network partitioning (ODNP) problem addressing uncertainties in load
more » ... d distributed energy resources; and presents a solution methodology using the sample average approximation (SAA) technique. Practical constraints like ensuring network radiality and availability of grid-forming generators are considered. Quality of the obtained solution is evaluated by comparison with-a) an upper bound on the probability that the identified microgrids are supply-deficient, and b) a lower bound on the objective value for the true optimization problem. Performance of the ODNP formulation is illustrated through case-studies on a modified IEEE 37-bus feeder. It is shown that the network flexibility is well utilized; the partitioning changes with risk budget; and that the SAA method is able to yield good quality solutions with modest computation cost.
doi:10.1109/access.2021.3065577 fatcat:j3qepvb2ijabtfp55z5wadryha

Model Validation Study for Central American Regional Electrical Interconnected System [article]

Xiaoyuan Fan, Marcelo A. Elizondo, Pavel V. Etingov, Mallikarjuna R. Vallem, Shuchismita Biswas, Seemita Pal, Carlos Erroa, Christian Munoz, Daniel Polanco, Victor Villeda
2021 arXiv   pre-print
The Central American Regional Interconnected Power System (SER) connects six countries: Guatemala, El Salvador, Honduras, Nicaragua, Costa Rica, and Panama, it is operated by the regional system operator Ente Operador Regional (EOR). Due to its geographical shape and layout of major transmission lines, SER has a weakly meshed grid, where disturbances can easily propagate, challenging its reliability. Having an accurate dynamic model is important for EOR when facing those reliability challenges.
more » ... This paper describes interconnection-level model validation efforts for the SER and Mexico interconnected system. A detailed equivalent model of Mexico is incorporated in the existing SER planning model used by EOR. The resultant model is then validated using simulated dynamic contingency analysis and real system disturbance data. A fully automated suite of scripts is also developed and shared with EOR engineers. This work helps EOR improve their validation routine practices, to continuously improve SER dynamic model, and hence its reliability.
arXiv:2103.08667v1 fatcat:dr6cmbpxynabxdrez7lqw4sjcq

Table of Contents

2019 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN)  
Design of Microstrip Patch Antenna & its Analysis Through ANN for Terahertz Application Parnika Saxena, Shuchismita Pani 391 80.  ...  Sorting by Reversals: A faster Approach for Building Overlap Forest Nayan Garg, Manubhav Jain, Sugandha Singhania, Parinay Prateek, Prantik Biswas, Indu Chawla 436 89.  ... 
doi:10.1109/spin.2019.8711656 fatcat:i5ncotltm5hkjfhj3ax6pize5e

The Kacchā-Pakkā Divide: Material, Space and Architecture in the Military Cantonments of British India (1765-1889)

Christopher Cowell
2016 ABE Journal  
See, for example, Shuchismita Chakraborty, “Look Back & Delve into History of Danapur Cantonment,” The Telegraph ( of India ), September 8, 2015. 29 Bengal Abstract Letters Received 1760-1770 , British  ...  I must thank Prabuddah Biswas, a local historian of Patna, who has worked (...) 28 Not all of these stations were designated to be pakkā cantonments initially, which I think is a cr (...) 19Clive’s July  ... 
doi:10.4000/abe.3224 fatcat:24ztr6ln65f45iiguqaen7ywny