State Estimation with Optimal PMU Placement Considering Various Contingencies

Kundu, Shubhrajyoti; Alam, Mehebub; Thakur, Siddhartha Sankar

doi:10.1109/poweri.2018.8704430

Cited by 6 publications

(7 citation statements)

References 14 publications

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“…DSSE has been widely studied considering the accuracy of the state estimation process (SEP), measurement placement, network observability, and investment cost issues [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16]. In these works, traditional measurements such as substation measurement, line flow measurements, pseudomeasurements based on historical network data, and modern measurements such as phasor measurement units (PMUs) as well as smart metering measurements have been used for an effective state estimation.…”

Section: B Related Workmentioning

confidence: 99%

“…Note that the state estimation utilizing PMU measurements has been widely investigated for transmission systems. PMU placement is often recognized as a very promising tool in these networks by improving the accuracy of state estimation and increasing the network observability [9], [12], [13], [14], [17].…”

Section: B Related Workmentioning

confidence: 99%

“…In these networks, AC state estimation is often used to estimate network variables, and heuristic algorithms are employed for optimal placement of measurement devices. It is noteworthy that the basic PMU placement problem has been developed in recent years due to sophisticated operation conditions and limitations including communication infrastructure and PMU channel constraints, reliability of network components and data acquired by measurements, and contingencies due to the PMU failures and/or line outages [8], [13], [16], [18], [19], [20]. On the other hand, in the current ADNs, due to the limitations of real-time measurements and the use of pseudomeasurements, it is not possible to achieve the results of state estimation with the desired accuracy.…”

Section: B Related Workmentioning

confidence: 99%

“…The effects of state estimation accuracy in different contingencies have been analyzed in this regard. Furthermore, optimal PMU placement subject to availability of PMU channels, single PMU loss, and single branch outage is investigated in [13] and [19]. The optimal allocation of PMUs aiming to minimize the PMU-cost and line relays is also introduced in [25].…”

Section: B Related Workmentioning

confidence: 99%

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Developing an Optimal Framework for PMU Placement Based on Active Distribution System State Estimation Considering Cost-Worth Analysis

et al. 2023

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Due to low levels of observability and automation in active distribution networks (ADNs), the deployment of accurate measurement devices would be inevitable to increase the network observability. This work develops an optimal framework for phasor measurement unit (PMU) placement considering the accuracy of the distribution system state estimation (DSSE) process. In this regard, first, considering the significance of active power in supplying network loads, an active power sensitivity analysis is conducted in which the accuracy of active power injection at each bus is multiplied by its value of lost load. In this way, the accuracy of active power estimation could be transformed into a monetary value. Then, based on the determined sensitivity criterion, the optimal placement of PMUs has been performed with the aim of appropriate accuracy for the DSSE. On the other hand, the accuracy of the results obtained in the state estimation procedure can affect the estimation of line-loadings and lead to load shedding due to the low accuracy of estimated line-loadings. It is noteworthy that due to the high integration of distributed energy resources in distribution systems, ADNs would be prone to congestion issues. Therefore, in the next stage, this perspective is also used for determining the optimal number and location of PMUs in ADNs to improve their observability based on the operational conditions of the network. Finally, the developed algorithm is applied on the 77-bus-UK-test distribution network to investigate its effectiveness in improving the DSSE accuracy and mitigating interrupted loads. The numerical results indicate that implementing the proposed framework not only increases the DSSE accuracy but also decreases the cost of compensating the accuracy of active power by 7% compared to the typical network without PMUs. Further, the results show that the proposed model significantly mitigates the total curtailed loads due to the low accuracy of estimated line-loadings.

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Section: B Related Workmentioning

confidence: 99%

Section: B Related Workmentioning

confidence: 99%

Section: B Related Workmentioning

confidence: 99%

Section: B Related Workmentioning

confidence: 99%

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Developing an Optimal Framework for PMU Placement Based on Active Distribution System State Estimation Considering Cost-Worth Analysis

et al. 2023

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“…The uncertainty regarding PMU data and its impact is discussed in Reference 23. The observability analysis and PMU placement issue considering various contingencies are discussed in References 24 and 25.…”

Section: Introductionmentioning

confidence: 99%

Maiden application of rank correlation coefficient for line outage detection using current phasor of PMUs

Alam

Kundu

Thakur

et al. 2020

Int Trans Electr Energ Syst

Self Cite

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This paper presents a new approach to solve line outage detection (LOD) problem utilizing current phasors obtained from phasor measurement units (PMUs). A new term that is, objective coefficient value (OCV), is introduced utilizing the rank correlation coefficient (RCC) and line outage detection is carried out based on the OCV. Moreover, the effect of bad data (BD) and measurement noises are also considered in the developed mathematical model. Furthermore, it has been proved that the suggested scheme can identify outage of parallel lines (PLs), whereas the existing voltage phasor-based algorithms fail to do so. Moreover, a new logical index that is, performance improvement w.r.t detection accuracy (PIDA) is introduced to quantify the superiority of the proposed scheme over some existing techniques. The developed algorithm is implemented on IEEE 5-bus, 14-bus, 57-bus, 118-bus systems, and large-scale Polish 2383-bus system. The comparison of test results with some existing methods proves the applicability and brevity of the developed algorithm.

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Unscented Kalman Filter Based Dynamic State Estimation in Power Systems Using Complex Synchronized PMU Measurements

Kundu

Kumar

Alam

et al. 2020

Control Applications in Modern Power System

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State Estimation with Optimal PMU Placement Considering Various Contingencies

Cited by 6 publications

References 14 publications

Developing an Optimal Framework for PMU Placement Based on Active Distribution System State Estimation Considering Cost-Worth Analysis

Developing an Optimal Framework for PMU Placement Based on Active Distribution System State Estimation Considering Cost-Worth Analysis

Maiden application of rank correlation coefficient for line outage detection using current phasor of PMUs

Unscented Kalman Filter Based Dynamic State Estimation in Power Systems Using Complex Synchronized PMU Measurements

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