Static State Estimation with Inequality Constraints in a Complementarity Framework for Detecting Infeasible Operation States

Martínez-Parrales, R.; Romay, Omar; Fuerte‐Esquivel, Claudio R.; Alcaide-Moreno, Boris A.

doi:10.1016/j.epsr.2021.107129

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…This process includes several drawbacks such as ill conditioning of gain matrix, slow detection of false data, and numerical problems in some cases (e.g., simultaneousconnection of short and long line to bus and high weighting coefficients for pseudo measurements) [13]. According to the presented issues, WLS algorithm may provide unacceptable outputs as well as its convergence is not guaranteed [14], [15]. Specifically, a cuckoo search algorithm GWO is suggested in this study to the capacity for detecting inaccurate information and fixing it is also evaluated here.…”

Section: Introductionmentioning

confidence: 99%

Grey Wolf Optimizer and Cuckoo Search Algorithm for Electric Power System State Estimation with Load Uncertainty and False Data

Rajendra

Subramanian

Karthik³

et al. 2023

IJRITCC

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State estimate serves a crucial purpose in the control centre of a modern power system. Voltage phasor of buses in such configurations is referred to as state variables that should be determined during operation. A precise estimation is needed to define the optimal operation of all components. So many mathematical and heuristic techniques can be used to achieve the aforementioned objective. An enhanced power system state estimator built on the cuck search algorithm is described in this work. Several scenarios, including the influence of load uncertainty and the likelihood of false data injection as significant challenges in electrical energy networks, are proposed to analyse the operation of estimators. The ability to identify and correct false data is also assessed in this regard. Additionally, the performance of the presented estimator is compared to that of the weighted least squares, Cuckoo Search algorithm and grey wolf Optimizer. The findings demonstrate that the grey wolf Optimizer overcomes the primary shortcomings of the conventional approaches, including accuracy and complexity, and is also better able to identify and rectify incorrect data. On IEEE 14-bus and 30-bus test systems, simulations are run to show how well the method works.

show abstract

Section: Introductionmentioning

confidence: 99%

Grey Wolf Optimizer and Cuckoo Search Algorithm for Electric Power System State Estimation with Load Uncertainty and False Data

Rajendra

Subramanian

Karthik³

et al. 2023

IJRITCC

View full text Add to dashboard Cite

show abstract

“…In this procedure, SE is formulated as an optimization problem and solved by an iterative method [11], [12]. This process includes several drawbacks such as ill conditioning of gain matrix, slow detection of false data, and numerical problems in some cases (e.g., simultaneous connection of short and long line to bus and high weighting coefficients for pseudo measurements) [13]. According to the presented issues, WLS algorithm may provide unacceptable outputs as well as its convergence is not guaranteed.…”

Section: Introductionmentioning

confidence: 99%

State Estimation for Electric Power System with Load Uncertainty and False Data Using Cuckoo Search Algorithm

Rajendra

Subramanian

Karthik³

et al. 2023

IJRITCC

View full text Add to dashboard Cite

State estimate serves a crucial purpose in the control centre of a modern power system. Voltage phasor of buses in such configurations is referred to as state variables that should be determined during operation. A precise estimation is needed to define the optimal operation of all components. So many mathematical and heuristic techniques can be used to achieve the aforementioned objective. An enhanced power system state estimator built on the cuckoo search algorithm is described in this work. Several scenarios, including the influence of load uncertainty and the likelihood of false data injection as significant challenges in electrical energy networks, are proposed to analyses the operation of estimators. The ability to identify and correct false data is also assessed in this regard. Additionally, the performance of the presented estimator is compared to that of the weighted least squares and Cuckoo Search algorithm. The findings demonstrate that the Cuckoo search algorithm overcomes the primary shortcomings of the conventional approaches, including accuracy and complexity, and is also better able to identify and rectify incorrect data. On IEEE 14-bus and 30-bus test systems, simulations are run to show how well the method works.

show abstract

A practical modeling of circuit breakers with unknown statuses in generalized state estimators

Martínez-Parrales,

Romay,

Alcaide-Moreno

et al. 2024

Electric Power Systems Research

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Static State Estimation with Inequality Constraints in a Complementarity Framework for Detecting Infeasible Operation States

Cited by 5 publications

References 15 publications

Grey Wolf Optimizer and Cuckoo Search Algorithm for Electric Power System State Estimation with Load Uncertainty and False Data

Grey Wolf Optimizer and Cuckoo Search Algorithm for Electric Power System State Estimation with Load Uncertainty and False Data

State Estimation for Electric Power System with Load Uncertainty and False Data Using Cuckoo Search Algorithm

A practical modeling of circuit breakers with unknown statuses in generalized state estimators

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