Ringdown analysis for Low-Frequency Oscillation Identification

Al-Momani, Mohammad M.; Odienate, Abdullal; Algharaibeh, Seba F.; Awasa, Khaled; Reda, Ibrahim

doi:10.1109/aset53988.2022.9735122

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Some algorithms give an acceptable solution for some systems and are not sufficient for others. Therefore, there is a necessity to develop a new algorithm for the OPP problem for any scenario [33][34][35]. In this paper, the proposed algorithm searches for all optimal PMU placements of any power system.…”

Section: Introductionmentioning

confidence: 99%

Global-Binary Algorithm; New Optimal Phasor Measurement Unit Placement Algorithm

Almomani¹,

Almbaideen²,

Al-Gharaibah³

et al. 2022

JJE

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This paper proposes a new algorithm for the optimal placement of the phasor measurement unit. The proposed algorithm is based on the concept of finite space solution of any binary problem. This algorithm has considered all possible cases; therefore, the possibility of obtaining a global solution is very high. The large system is divided into several subsystems. The buses (transmission lines) connected between the subsystems are called interconnected buses (lines). The proposed algorithm is implemented through two steps. First step identifies the optimal placement for each subsystem by checking on all possible solutions, the overall optimal placement for the entire system is gathered in the second step. Finally, all possible placements of the phasor measuring units with the optimal numbers are identified to select the best placement based on the user applications. In this work, the Jordanian power system is considered as a case study to validate the proposed algorithm. Four algorithms in the literature are used for the comparison using different IEEE test systems. The algorithm is computed in MATLAB 2020a.

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Section: Introductionmentioning

confidence: 99%

Global-Binary Algorithm; New Optimal Phasor Measurement Unit Placement Algorithm

Almomani¹,

Almbaideen²,

Al-Gharaibah³

et al. 2022

JJE

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show abstract

“…The signal is continuously generated at the transmission side in the signaling technique, and the DER has a receiver to detect this signal. In these techniques, the islanding status is proved if the DER does not receive any signal [7][8][9]. A high-frequency impedance estimation-based technique is an example of active detection techniques [10].…”

Section: Introductionmentioning

confidence: 99%

Islanding Detection Method Based Artificial Neural Network

Almomani¹,

Al-Gharaibeh²,

Al-Dmour³

et al. 2022

JJE

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This paper presents a new islanding detection technique based on an artificial neural network (ANN) for a doubly fed induction wind turbine (DFIG). This technique takes advantage of ANN as pattern classifiers. Five different ANN systems are presented in this paper based on various inputs: three phase power, phase voltage, phase current, neutral voltage, and neutral current. An ANN structure is trained for each input, and the comparison between the different structures is presented. Feedforward ANN structures are used for the five systems. Three different learning algorithms are used: backpropagation and two artificial optimization techniques: Genetic Algorithm (GA) and Cuckoo optimization algorithm. For each method in each training technique, the results and the cost function are presented. The comparison of different inputs different algorithms is conducted. MATLAB 2020a is used to simulate the ANN structure and code the training algorithms. A detailed discussion of the input sample rate has also been manipulated to make the computational burden a factor in assessing the performance.

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The Application of Synchronverter for the Enhancement of Power System Stability

Alkhamis,

Al-Odienat

2023

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)

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Ringdown analysis for Low-Frequency Oscillation Identification

Cited by 3 publications

References 15 publications

Global-Binary Algorithm; New Optimal Phasor Measurement Unit Placement Algorithm

Global-Binary Algorithm; New Optimal Phasor Measurement Unit Placement Algorithm

Islanding Detection Method Based Artificial Neural Network

The Application of Synchronverter for the Enhancement of Power System Stability

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