Optimal PMU placement for coordinated observability of power system under contingencies

Shrivastava, Divya Rishi; Siddiqui, Shahbaz Ahmed; Verma, Kusum

doi:10.1109/iccs1.2017.8326016

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…Power system equipped with synchrophasor technology is capable of capturing system dynamics during contingency in real‐time 25 . The time tagged measurements from PMUs are stored in data concentrators.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…Power system equipped with synchrophasor technology is capable of capturing system dynamics during contingency in real-time. 25 The time tagged measurements from PMUs are stored in data concentrators. The frequency and voltage of all the buses in system available from PMU data can be utilized to monitor the system dynamics in real-time.…”

Section: Proposed Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

A new synchronized data‐driven‐based comprehensive approach to enhance real‐time situational awareness of power system

Shrivastava

Siddiqui

Verma

2021

Int Trans Electr Energ Syst

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Summary Identification of disturbances that pushes the power system towards insecure limits can assist in timely remedial measures to be taken for improving situation awareness. The information about event's signature is primarily available in the form of frequency or voltage signals obtained from phasor measurements units (PMUs) in real‐time. Proper evaluation of power system event characteristics enhances the situational awareness and assists system operator to develop required corrective measures for secure operations. In this paper, a fast and accurate algorithm is proposed to identify, classify and locate the events using minimum synchronized data for enhancing the situational awareness of the system. An index is developed with short window synchronized bus frequency data of 18 cycles to detect an event in the network. For identifying the type of event, the same data length bus voltage magnitude and frequency synchronized measurements are utilized to develop statistical measures based novel indices. A rule‐based inference from event's signature is also developed to validate the usefulness of indices for classification and location identification of the event. These extracted statistical indices are applied as input to the Random Forest Classifier to classify and locate the events in real‐time. The proposed approach captures real‐time synchronized data and is adaptive to system topological changes. The proposed comprehensive approach for situational awareness is applied to standard IEEE 39 Bus test system and IEEE 118 Bus test system. The results highlight the performance of the composite method for event identification, classification and location identification with less computational burden and high accuracy.

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Section: Proposed Algorithmmentioning

confidence: 99%

Section: Proposed Algorithmmentioning

confidence: 99%

A new synchronized data‐driven‐based comprehensive approach to enhance real‐time situational awareness of power system

Shrivastava

Siddiqui

Verma

2021

Int Trans Electr Energ Syst

Self Cite

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“…The main question, which was raised in the past decade, is it possible to install a PMU in each bus bar? Because of the cost of the measurement devices, it is not economically feasible to place them at every grid bus, the answer is no [27]. In this paper, a sequential linear programming optimization technique is used to get real time measurements for the load buses voltages using a minimum number of PMUs [28].…”

Section: Phasor Measurement Units (Pmus)mentioning

confidence: 99%

“…f(x) is a vector function, whose entries are non-zero if the corresponding bus voltage is solvable while using the given measurements [27,28].…”

mentioning

confidence: 99%

Secondary Voltage Control Application in a Smart Grid with 100% Renewables

2020

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This paper presents secondary voltage control by extracting reactive power from renewable power technologies to control load buses voltage in a power system at different operating conditions. The study is performed on a 100% renewable 14-bus system. Active and reactive powers controls are considered based on grid codes of countries with high penetration levels of renewable energy technologies. A pilot bus is selected in order to implement the secondary voltage control. The selection is based on short-circuit calculation and sensitivity analysis. An optimal Proportional Integral Derivative (PID) voltage controller is designed using genetic algorithm. A comparison between system with and without secondary voltage control is presented in terms of voltage profile and total power losses. The optimal voltage magnitudes at busbars are calculated to achieve minimum power losses using optimal power flow. The optimal placement of Phasor Measurement Units (PMUs) is performed in order to measure the voltage magnitude of buses with minimum cost. Optimization and simulation processes are performed using DIgSILENT and MATLAB software applications.

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“…Reference [4] analyzes the optimization of PMU location and communications infrastructure, with the goal to minimize propagation delay as well as the number of PMUs installed. In [8] and [17], in addition to the optimization of PMU location, the maximization of the communication infrastructure reliability to prevent failures in PMU observability is also considered. In [8], the authors refer to the use of the Global Positioning System (GPS) to synchronize information acquired by PMUs.…”

Section: Introductionmentioning

confidence: 99%

Optimization of PMU Location and Communications in a Power Grid

Almeida

Gomes

Antunes

2019

2019 11th International Workshop on Resilient Networks Design and Modeling (RNDM)

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Phasor Measurement Units (PMU) are specific equipment that measure phasors, magnitude and frequency of voltage and current in key points of a power grid, allowing for a more effective management of network assets. We start by presenting some formulations for the problem of determining the location to minimize the number of PMUs installed, ensuring that all buses (nodes of the power grid) are visible by at least one PMU. The formulations take also into account the existence of Zero Injection Buses (ZIBs) and the requirement of (N -1) redundancy to ensure that critical buses (e.g. buses with a generator) can be observed by at least two PMUs. This guarantees, in case one out of N installed PMUs fails, all critical buses are still observable.We assume that the communications network topology follows the topology of the power grid. With the goal to protect the communication infrastructure against failures and natural disasters, we propose models that minimize the number of Shared Risk Link Groups (SRLGs) and links in the path pair of each PMU to a pair of Phasor Data Concentrators (PDCs). We then modify the formulation of the PMU location problem to improve the resilience of the communication between the PMUs and the PDCs, namely by avoiding to place PMUs in buses of degree one and also by penalizing the placement of PMUs in buses that will result in path pairs to the PDCs which are not SRLG-disjoint. Results are presented to illustrate the impact of the modified PMU location model on the resilience of the communication network.

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Optimal PMU placement for coordinated observability of power system under contingencies

Cited by 10 publications

References 15 publications

A new synchronized data‐driven‐based comprehensive approach to enhance real‐time situational awareness of power system

A new synchronized data‐driven‐based comprehensive approach to enhance real‐time situational awareness of power system

Secondary Voltage Control Application in a Smart Grid with 100% Renewables

Optimization of PMU Location and Communications in a Power Grid

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