A multi-objective optimal PMU placement considering fault-location topological observability of lengthy lines: A case study in OMAN grid

Al-Hinai, Amer; Karami-Horestani, Alireza; Alhelou, Hassan Haes

doi:10.1016/j.egyr.2022.12.046

Cited by 9 publications

(6 citation statements)

References 27 publications

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“…This study may include finding fault locations, reducing the cyber-attack impact on the electricity market, improving the voltage stability of critical buses during faults, estimating the system's state etc. [33][34][35][36][37]. In the optimization problem, each objective function has its constraints.…”

Section: The Proposed Methods For Allocating Pmusmentioning

confidence: 99%

Robust dynamic and algebraic state estimation for microgrids: A generalized approach

Pourkeivani,

Abedi,

Kouhsari

et al. 2023

IET Renewable Power Gen

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Network control, optimization, and security analysis are facilitated by accurate microgrid state estimation. By utilizing phasor measurement units (PMUs), a combined robust centralized dynamic algebraic approach is proposed in this paper for estimating algebraic states (voltage phasors) as well as dynamic states (associated with synchronous generators and wind turbines). Assuming that a load is placed on each bus, an innovative PMU placement method is also presented to provide measurements for all dynamic and algebraic state variables. As a robust link between algebraic state estimation and dynamic state estimation, the output results of the least absolute value (LAV) estimator, which is robust against bad data, are fed to dynamic state estimators as pseudo measurements. Next, to address the nonlinearity of synchronous generator and wind turbine models, an unscented Kalman filter (UKF) is applied to estimate dynamic states precisely. The numerical tests on a microgrid test system show that the suggested approach is suitable for both algebraic and dynamic state estimation. Synchronous generators and wind turbines are modeled using nonlinear models of the 9th and third orders, respectively, and static loads are modeled as voltage‐frequency dependent ones.

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Section: The Proposed Methods For Allocating Pmusmentioning

confidence: 99%

Robust dynamic and algebraic state estimation for microgrids: A generalized approach

Pourkeivani,

Abedi,

Kouhsari

et al. 2023

IET Renewable Power Gen

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“…The method described in [23,24] requires monitoring devices to be installed on each circuit, and it is also described to install multiple monitoring devices in [25]. The method proposed in this article only requires one set of PLC communication equipment, namely one SM and one TM.…”

Section: Placements Of Sm and Rmmentioning

confidence: 99%

A PLC communication characteristics‐based fault location method in medium voltage meshed distribution networks

Bin,

Min‐gang,

Junliang

et al. 2024

IET Generation Trans & Dist

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A power line carrier (PLC) communication characteristics‐based method is proposed for single‐phase‐to‐ground fault location in neutral isolated medium voltage meshed distribution networks in this paper. The carrier signals with a time‐varying frequency and constant amplitude are processed by a set of PLC transmitters and receivers, whose placement is optimized by regarding the power network as an undirected graph. Two signal encoding and decoding algorithms for the PLC terminals are proposed to avoid using expensive timing systems between the terminals. The fault location technique is implemented by comparing the cosine similarity of amplitude attenuation and phase offset between the fault and a feature library. The node corresponding to the maximum cosine similarity of the characteristics between the present fault and the library is selected as the location of the current fault. Only one set of low‐cost PLC communication terminals and the widely available power lines are needed in the fault location system, making this approach highly practical. Numerical simulations using MATLAB/Simulink have been performed to verify the technique's feasibility. The results show that the method can accurately locate faults in neutral isolated medium voltage meshed distribution networks. Besides, the presented approach achieves a high level of accuracy in estimating transition resistance values.

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“…25,26 Researchers have identified a wide range of solutions to solve the multi-objective PMU problem with common measures and uncertainties while taking the faults into consideration. 27 Hierarchic mechanisms based on numerous linear and non-linear evolutionary techniques are framed for solving multi-objective non-linear issues with mutation operators, including the Pareto Archive Differential Evolutionary (PADE) Algorithm. 28 All the above methods can point out where the PMUs should be placed inside the system, but they offer no information on whether those locations are appropriate for any real-world applications.…”

Section: 2mentioning

confidence: 99%

“…The Non‐Dominated Sorting Genetic Approach (NSGA) method is well suited with complete observability, and it is adopted to determine the optimal position for PMUs 25,26 . Researchers have identified a wide range of solutions to solve the multi‐objective PMU problem with common measures and uncertainties while taking the faults into consideration 27 . Hierarchic mechanisms based on numerous linear and non‐linear evolutionary techniques are framed for solving multi‐objective non‐linear issues with mutation operators, including the Pareto Archive Differential Evolutionary (PADE) Algorithm 28 .…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective precise phasor measurement locations to assess small‐signal stability using dingo optimizer

Logeshwari,

Abirami,

Subramanian

et al. 2023

Optim Control Appl Methods

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Small‐signal stability is an important task and key research in electrical engineering for networks. This research article focuses on the implementation of a multi‐objective approach for choosing an optimal location for Phasor Measurement Units (PMUs) to quantify a power system's small‐signal stability by maximizing the signal‐to‐noise ratio (SNR) in the system. The novelty of this research lies in the implementation of Dingo Optimization (DOX) technique along with the Prony Analysis (PA) approach for the assessment of small‐signal stability in standard grid networks. The voltage angle, amplitude and the range of frequencies are measured by the optimal placement of PMUs, which primarily focus on the multi‐signal PA. To achieve the objective of this research, DOX integrated with the multi‐signal PA approach is used to determine the ideal position for PMU placement by considering maximum redundancy and optimizing the signal to noise ratio to a maximum level. The effectiveness of the DOX strategy is established with improved accuracy and fewer disturbances by optimizing the electromechanical oscillations of the system. The implementation of the DOX approach for attaining the best value of the maximized SNR is obtained by analyzing a wide set of conditions, perturbations, and additive noise, which provides an accurate assessment of damping ratio (DR) and frequency (f) of electromechanical oscillations. Numerical results obtained from the standard IEEE test systems (14, 39, 57, 118, and 300 bus systems) are compared with the existing methods in the literature. The statistical indices demonstrate that under the highly limited optimization context selected, the intended optimizer functions satisfactorily.

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A multi-objective optimal PMU placement considering fault-location topological observability of lengthy lines: A case study in OMAN grid

Cited by 9 publications

References 27 publications

Robust dynamic and algebraic state estimation for microgrids: A generalized approach

Robust dynamic and algebraic state estimation for microgrids: A generalized approach

A PLC communication characteristics‐based fault location method in medium voltage meshed distribution networks

Multi‐objective precise phasor measurement locations to assess small‐signal stability using dingo optimizer

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