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Dusmanta Kumar Mohanta - One of the best experts on this subject based on the ideXlab platform.
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Multi-Level Reliability Allocation of phasor measurement unit Using Bayesian Networks
Electric Power Components and Systems, 2018Co-Authors: Soumita Ghosh, Debomita Ghosh, Dusmanta Kumar MohantaAbstract:AbstractThe phasor measurement unit (PMU) provides synchrophasors at different locations in power grids. Therefore, its breakdown adversely affects grid monitoring and operation. In existing litera...
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A Novel Topological Genetic Algorithm-Based phasor measurement unit Placement and Scheduling Methodology for Enhanced State Estimation
Electric Power Components and Systems, 2015Co-Authors: Pathirikkat Gopakumar, Maddikara Jaya Bharata Reddy, Dusmanta Kumar MohantaAbstract:Abstractphasor measurement units are emerging as a potential tool for on-line power system state estimation. Incorporation of phasor measurement units to the existing power system's monitoring system is impeded by various physical and economic constraints. This article proposes a novel topological genetic algorithm for optimal placement of phasor measurement units along with existing conventional measurement units such that state estimation can be achieved with enhanced accuracy and immunity against power grid contingencies. The proposed algorithm optimally places phasor measurement units so that complete observability of the power system is achieved through them and enhanced redundancy in measurement can be accomplished through conventional measurement units. Since practical phasor measurement unit placements are accomplished in multiple horizons, intelligent sorting and phase optimization methodologies have been presented to attain maximum observability during phasing periods. Placement of phasor measur...
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Reliability Evaluation of phasor measurement unit: A System of Systems Approach
Electric Power Components and Systems, 2015Co-Authors: Cherukuri Murthy, Diptendu Sinha Roy, Dusmanta Kumar MohantaAbstract:AbstractThe phasor measurement unit has emerged as a complex, real-time measurement and control system necessitated by the modern power system, the most complex machinery. The extensive installation of phasor measurement units in recent times requires secure and reliable operation. The existing reliability models for phasor measurement unit reliability analysis are constrained by assumptions that disregard the inherent complexity, thus calling for the necessity of a system of systems engineering based reliability model for phasor measurement units. Such a system of systems engineering based model paves the way to accommodate different functional and logical relationships in a suitable way. Another major contribution of this article is the use of statistics of extremes to take into account the scarce failure data for phasor measurement units, which are recent in origin. The results reported in this article validate the efficacy of the system of systems engineering based reliability model.
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Simulation of phasor measurement unit (PMU) in MATLAB
2015 International Conference on Signal Processing and Communication Engineering Systems, 2015Co-Authors: Dhruba Kumar, Debomita Ghosh, Dusmanta Kumar MohantaAbstract:The advent of phasor measurement unit in power system is revolutionizing the conventional grid towards smart grid. phasor measurement units are extremely expensive devices which takes into account many aspects of the power system that are not disclosed by the manufacturer while estimating phasors of currents and voltage. This paper aims to build a laboratory prototype of PMU which can estimate the phasor updating process of a commercial PMU at the benefit of improved measurement accuracy, reduced manufacturing cost and increased timely information.
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Simulation of phasor measurement unit (PMU) using labview
2014 14th International Conference on Environment and Electrical Engineering, 2014Co-Authors: Sourav Mondal, Ch. Murthy, Diptendu Sinha Roy, Dusmanta Kumar MohantaAbstract:With the advent of phasor measurement unit in Power System a new dimension has been given to power system monitoring and analysis. In this paper simulation of Nonrecursive and recursive DFT phasor estimation algorithm is done using Labview. The algorithm developed in Labview can be used for real time estimation of phasor by integrating with labview compliant data acquisition system like NI ELVIS kit.
Peng Zhang - One of the best experts on this subject based on the ideXlab platform.
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Reliability Analysis of phasor measurement unit Considering Data Uncertainty
IEEE Transactions on Power Systems, 2012Co-Authors: Wenyuan Li, Bing Wang, Peng Zhang, Jiping LuAbstract:This paper proposes a combined statistical and fuzzy Markov method for reliability evaluation of phasor measurement unit (PMU). The major purpose is to deal with uncertainties of reliability data in PMU. The membership functions of reliability parameters can be built based on statistics and fuzzy set theory. The fuzzy hierarchical Markov models are presented to quantify membership functions of multiple reliability indices of the entire PMU. A fuzzy sensitivity analysis index is developed to estimate the effects of parameter uncertainties on the uncertainty of PMU reliability and identify the most sensitive component(s). Numerical results are provided to demonstrate the effectiveness of the proposed techniques.
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Reliability Evaluation of phasor measurement unit Using Monte Carlo Dynamic Fault Tree Method
IEEE Transactions on Smart Grid, 2012Co-Authors: Peng Zhang, Ka Wing ChanAbstract:Reliability evaluation of phasor measurement unit (PMU) is a primary key element in the reliability evaluation of wide-area monitoring system (WAMS). In this paper, a comprehensive reliability evaluation method based on Monte Carlo dynamic fault tree (MCDFT) analysis is proposed to conduct the reliability evaluation on PMU. The reliability model of PMU is constructed using dynamic fault tree modeling and analyzed using Monte Carlo simulation to evaluate the reliability indices of PMU. The validity and advantages of the proposed MCDFT reliability evaluation of PMU were verified with simulation and comparison studies. Importance analysis showed that basic components in the GPS receiver and CPU hardware modules have high impacts on the reliability of PMU. Sensitivity and redundancy design analysis are then applied to conclude that the redundancy design of GPS receiver and CPU hardware would be the best measure for improving the reliability of PMU. Finally, a self-adaptive wide-area damping control scheme is taken as an example for the application of PMU reliability.
C.l. Demarco - One of the best experts on this subject based on the ideXlab platform.
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SVD-Based Voltage Stability Assessment From phasor measurement unit Data
IEEE Transactions on Power Systems, 2016Co-Authors: J. M. Lim, C.l. DemarcoAbstract:Electric power systems can display a range of undesirable dynamic phenomena by which acceptable, stable operation may be lost. Quasi-steady-state operational problems such as the voltage instability phenomena are among these. Ill-conditioning of the power flow, reflected in high sensitivity of bus voltage magnitudes to load variation is an often observed precursor to such quasi-steady state operational problems. Motivated by this insight, work here will propose a voltage stability and conditioning monitor that is model-free in real-time, based solely on phasor measurement unit (PMU) data, arguing that such an approach is well suited to near-real-time application. We review model-dependent singular value analysis in voltage stability assessment, and relate these existing approaches to our proposed model-free method in real-time application. The proposed algorithm is first applied under the idealized assumption of full measurement data at all buses. This work then extends the algorithm to apply in the more practical case for which only subset of buses have available measurement data. The proposed approach is illustrated in IEEE test cases, augmented to include heavy load conditions that stress voltage stability. Algorithms for efficient computation of small numbers of singular values, as well as means to exploit low-rank updates in data, are reviewed to demonstrate opportunities for fast computation that allow these SVD methods to operate in near-real-time in large systems.
Jiping Lu - One of the best experts on this subject based on the ideXlab platform.
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Reliability Analysis of phasor measurement unit Considering Data Uncertainty
IEEE Transactions on Power Systems, 2012Co-Authors: Wenyuan Li, Bing Wang, Peng Zhang, Jiping LuAbstract:This paper proposes a combined statistical and fuzzy Markov method for reliability evaluation of phasor measurement unit (PMU). The major purpose is to deal with uncertainties of reliability data in PMU. The membership functions of reliability parameters can be built based on statistics and fuzzy set theory. The fuzzy hierarchical Markov models are presented to quantify membership functions of multiple reliability indices of the entire PMU. A fuzzy sensitivity analysis index is developed to estimate the effects of parameter uncertainties on the uncertainty of PMU reliability and identify the most sensitive component(s). Numerical results are provided to demonstrate the effectiveness of the proposed techniques.
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Reliability Analysis of phasor measurement unit Using Hierarchical Markov Modeling
Electric Power Components and Systems, 2009Co-Authors: Wenyuan Li, Jiping LuAbstract:Abstract The consequence of a phasor measurement unit failure is very severe and may cause a blackout as it is a primary part of a wide-area measurement system. This article presents a hierarchical Markov modeling technique for reliability evaluation of phasor measurement unit. A phasor measurement unit is divided into seven modules for reliability modeling in terms of the functionalities of phasor measurement unit elements. Each module is hierarchically represented using Markov state space models and equivalently converted into two-state Markov representations, such that the reliability of the entire phasor measurement unit can be easily evaluated. The numerical results and sensitivity analyses indicate that the global positioning system module is the most unreliable source of phasor measurement unit, followed by the central processor unit module. The failure rate of the global positioning system receiver (λA) is the most crucial parameter to the phasor measurement unit reliability, followed by the failu...
Debomita Ghosh - One of the best experts on this subject based on the ideXlab platform.
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Multi-Level Reliability Allocation of phasor measurement unit Using Bayesian Networks
Electric Power Components and Systems, 2018Co-Authors: Soumita Ghosh, Debomita Ghosh, Dusmanta Kumar MohantaAbstract:AbstractThe phasor measurement unit (PMU) provides synchrophasors at different locations in power grids. Therefore, its breakdown adversely affects grid monitoring and operation. In existing litera...
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Simulation of phasor measurement unit (PMU) in MATLAB
2015 International Conference on Signal Processing and Communication Engineering Systems, 2015Co-Authors: Dhruba Kumar, Debomita Ghosh, Dusmanta Kumar MohantaAbstract:The advent of phasor measurement unit in power system is revolutionizing the conventional grid towards smart grid. phasor measurement units are extremely expensive devices which takes into account many aspects of the power system that are not disclosed by the manufacturer while estimating phasors of currents and voltage. This paper aims to build a laboratory prototype of PMU which can estimate the phasor updating process of a commercial PMU at the benefit of improved measurement accuracy, reduced manufacturing cost and increased timely information.
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Reliability Analysis of phasor measurement unit Using Hidden Markov Model
IEEE Systems Journal, 2014Co-Authors: Cherukuri Murthy, Diptendu Sinha Roy, Debomita Ghosh, Anvesha Mishra, Dusmanta Kumar MohantaAbstract:Recently, electrical power systems have emerged as the largest and most complex machine because of its inordinate growth due to technological innovations and because of geographical sprawl. This growth has necessitated a commensurate system for operation, monitoring, and control, which is known as the wide-area measurement system (WAMS). The edifice of WAMS is the phasor measurement unit (PMU). Its failure adversely affects WAMS as a whole; therefore, reliability analysis of the PMU is extremely essential. This paper uses hidden Markov model to perform the reliability analysis of PMU. Although many reliability evaluation methods have been used for computing steady-state probabilities, the proposed methodology has the unique ability to compute transient probability, leading to better system monitoring during transient states to ensure proper restorative initiatives. This paper validates the efficacy of the proposed methodology with relevant case studies for real-time application in a modern power system to ensure reliable monitoring using PMUs.
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Performance simulation of phasor measurement unit for wide area measurement system
Proceedings of The 2014 International Conference on Control Instrumentation Energy and Communication (CIEC), 2014Co-Authors: Debomita Ghosh, Tirthadip Ghose, Chandan Kumar, Dusmanta Kumar MohantaAbstract:With the phenomenal growth of power system both in terms of geographical sprawl as well as technological advancements, it requires tools for dealing with system-wide disturbances that often cause widespread catastrophic blackouts in power system networks. When a major disturbance occurs, protection and control measures play the most important role to prevent further degradation of the system, restore the system back to a normal state, and minimize the impact of the disturbance. Continuous technological innovations in information and communication technology, novel sensors and measurement principles in general have promoted the advent of phasor measurement units (PMUs). This paper describes the modeling and testing of phasor measurement unit for two bus transmission line system using MATLAB/Simulink. Since PMUs are costly device therefore module wise testing and analysis are essential. For such modeling and testing, software based analysis is the best approach. This has been done through MATLAB and the results are analyzed.
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Reliability analysis of a geographic information system-aided optimal phasor measurement unit location for smart grid operation
Proceedings of the Institution of Mechanical Engineers Part O: Journal of Risk and Reliability, 2013Co-Authors: Debomita Ghosh, Tirthadip Ghose, Dusmanta Kumar MohantaAbstract:The conventional power system is going through a paradigm change towards smart grid, incorporating technological innovations for sensing, communicating, applying intelligence and exercising control through feedback. Recently, phasor measurement units (PMUs) have been used extensively for the purpose of sensing and communication. In many system planning studies, planners experience conflicts while taking into account the requirements related to communication systems, environment and geographic configurations owing to lack of proper spatial co-ordination. A geographic information system (GIS) provides a rich set of functions to view the power system network and to explore the geospatial relations. The main contribution of this article is to investigate the impact of topological attributes on commissioning phasor measurement units to ensure reliability through different phasor measurement unit connectivity configuration. Comparative studies have been done amongst different phasor measurement unit connectivity configuration for determining the most reliable data exchange methodology. Case studies related to the eastern grid of India corroborate the potential use of geographic information system taking pragmatic spatial aspects into account for phasor measurement unit placement.