Optimal placement of PMUs in power system network for voltage stability estimation under contingencies

Sahu, Pankaj; Verma, M. K.

doi:10.1109/cera.2017.8343356

Cited by 6 publications

(10 citation statements)

References 20 publications

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“…This system has a zero-injection bus at bus number 7. PMUs were placed at bus numbers 2, 4, 5, 6 and 9 based on results of binary integer linear programming [23] ensuring full network observability even in case of loss of few PMUs. Voltage magnitude, real power demand and reactive power demand of all the load buses were obtained at three operating points (viz.…”

Section: Ieee 14-bus Systemmentioning

confidence: 99%

“…The New England 39-Bus System has 10 generators and 46 transmission lines with 12 zero-injection buses at bus numbers 1, 2, 5, 6, 9, 10, 11, 13, 14, 17, 19 and 22 [27]. Binary integer linear programming was used to optimally place PMUs in the system ensuring full network observability even in case of loss of few PMUs [23]. It results PMU placement at bus numbers 4, 8, 12, 16, 18, 20, 23, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38 and 39. Real power loading margin was calculated as per flow chart shown in Figure 3 for the system intact case and all the single line outage cases, as in case of IEEE 14-bus system.…”

Section: New England 39-bus Systemmentioning

confidence: 99%

“…Thus, proposed approach is capable of monitoring voltage stability of real time systems as change in system operating conditions and network topology is considered by updated PMU measurements performed at regular intervals. PMUs have been optimally placed in the system based on result of binary integer linear programming ensuring full network observability even in case of loss of few PMUs under contingencies [23]. Paper is structured as follows: Section II presents methodology proposed for online monitoring of voltage stability margin using PMU measurements based quadratic fitting of nose curves.…”

Section: Introductionmentioning

confidence: 99%

“…It has 15 zero-injection buses at bus numbers63, 75, 81, 102, 103, 104, 107, 122, 155, 180, 210, 226, 237, 241, and 244. Binary Integer linear Programming was run to optimally place 97 PMUs in the 246-bus NRPG system to ensure complete observability even in case of loss of few PMUs[23].…”

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confidence: 99%

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Online monitoring of voltage stability margin using PMU measurements

Sahu

Verma

2020

IJECE

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With the growing smart grid concept it becomes important to monitor health of the power system at regular intervals for its secure and reliable operation. Phasor Measurement Units (PMUs) may play a vital role in this regard. This paper presents voltage stability monitoring in real time framework using synchrophasor measurements obtained by PMUs. Proposed approach estimates real power loading margin as well as reactive power loading margin of most critical bus using PMU data. As system operating conditions keep on changing, loading margin as well as critical bus information is updated at regular intervals using fresh PMU measurements. Simulations have been carried out using Power System Analysis Toolbox (PSAT) software. Accuracy of proposed Wide Area Monitoring System (WAMS) based estimation of voltage stability margin has been tested by comparing results with loading margin obtained by continuation power flow method (an offline approach for accurate estimation of voltage stability margin) under same set of operating conditions. Case studies performed on IEEE 14-bus system, New England 39-bus system and a practical 246-bus Indian power system validate effectiveness of proposed approach of online monitoring of loading margin.

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Section: Ieee 14-bus Systemmentioning

confidence: 99%

Section: New England 39-bus Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Online monitoring of voltage stability margin using PMU measurements

Sahu

Verma

2020

IJECE

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“…System features should take transient stability, vulnerability, voltage stability, and the effect of decisive contingencies into account. The optimal location of PMUs has been studied in terms of geometrical observability under voltage stability based serious situations [18]. However, the suggested PMU placement strategy is not successful in estimating the voltage stability boundary under disturbed conditions.…”

Section: ░ 1 Introductionmentioning

confidence: 99%

Optimal Placement of PMUs in Smart Grid for Voltage Stability Monitoring using AMPSO and PSAT

Babu

Reddy

2023

IJEER

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Efficient energy use is critical for a growing nation like India. The smart grid (SG) idea enables the creation of a highly dependable electricity system that optimizes existing resources. The Indian electricity grid as it now exists needs fundamental modifications to satisfy increasing demand and to make the system more intelligent and dependable. Since the past several decades, power system stability has been seen as a significant challenge to power system researchers and utilities. With a not many strategically placed Phasor Measurement Units (PMUs), it may be feasible to observe the power system stability of the network. This article suggests an optimum location for PMUs, considering the effect of power system stability-related serious situations. The disturbances have been prioritized according to their voltage stability boundary (the gap among the stand case working and nose points). Changes in the voltage stability tolerance due to shifting load conditions were also considered in the crucial contingency determination. PMUs were inserted in the system based on Adaptive Mutated Particle Swarm Optimization (AMPSO) findings for the intact system and crucial contingency scenarios on the basis of voltage stability. The effectiveness of the suggested PMUs placement strategy was determined by examining nose curves produced with PMUs data and pseudo-observations under increasing demands to nose curves calculated offline using continuation power flow data. Using the software tool Power-System Analysis Toolbox (PSAT), case studies were conducted on a conventional IEEE14 bus system and a realistic 246 bus Indian Power Grid system.

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Optimal Placement of PMU: A Brief Review

Mishra

Cherukuri

2020

Advances in Electrical Control and Signal Systems

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Optimal placement of PMUs in power system network for voltage stability estimation under contingencies

Cited by 6 publications

References 20 publications

Online monitoring of voltage stability margin using PMU measurements

Online monitoring of voltage stability margin using PMU measurements

Optimal Placement of PMUs in Smart Grid for Voltage Stability Monitoring using AMPSO and PSAT

Optimal Placement of PMU: A Brief Review

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