Power quality meters placement using seeker optimization algorithm for harmonic state estimation

Ketabi, Abbas; Sheibani, Mohammad Reza; Nosratabadi, Seyyed Mostafa

doi:10.1016/j.ijepes.2012.04.043

Cited by 23 publications

(20 citation statements)

References 26 publications

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“…per unit = actual value/base value (12) In this case, the base value of the voltage is 23 kV and that of three-phase power is 100 MVA. The number of measurements has (27,28), (3,4), (23,24), (16,17),(31,32), (6,26), (19,20), (5,6) 833.64 (14,15),(30,31), (23,24),(32,33),(28,29), (6,26), (29,30), (1,2) 493.30 (24,25), (2,19),(32,33), (20,21), (8,9), (12,13), (7,8), (5,6) 868.19 (13,14), (2,29), (23,24), (17,18), (8,9), (3,23), (6,7), (14,15) 446.24 (14,15),…”

Section: Results and Analysis Of Ieee 14-busmentioning

confidence: 99%

“…(32,33),(24,25), (7,8), (3,4),(9,10),(26,27), (19,20), (6,26) 809.59 (15,16),(32,33), (23,24), (6,26), (2,19),(28,29), (29,30),(30,31) 504.87 (4,5), (12,13),(27,28), (16,17), (13,14), (6,26), (19,20), (21,22) 868.05 (1,2), (8,9), (14,15) been set according to the feeder scale. In this instance, the size of the measurement set was set as B /3, where B is the branch number.…”

Section: Results and Analysis Of Ieee 14-busmentioning

confidence: 99%

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A fast heuristic optimization algorithm for measurement placement in distribution system state estimation

Jiao

Wáng

et al. 2017

IEEJ Transactions Elec Engng

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An accurate, real‐time estimation of the states of a power distribution system is highly desirable but hard to achieve because of the complexity of the network and the relative inefficiency of the measuring system. To increase the efficiency, this paper analyzes the mathematical relationship between the measurement errors and estimation errors of the state vector using the classic weighted least square method. Then a heuristic algorithm is proposed to improve the accuracy by optimizing the deployment of the real‐time measuring points, which is based on the deterministic factors of the measuring points/branches over the system state. The basic implementation starts with an initial measurement set and replaces the least important branches in the set with the most important branches outside the set using iterative optimization. The algorithm was tested in the IEEE 14‐bus and 33‐bus distribution systems and achieved 50% increase in accuracy at much lower computational cost compared with exhaustive search. Moreover, the proposed algorithm has also been compared with representative and widely used evolution algorithms such as particle swarm optimization and quantum‐behaved particle swarm optimization. This comparison shows that our method can achieve stable and comparable accuracy with a speed at least 10 times higher. The performance of our method can be even better with increasing network size. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Section: Results and Analysis Of Ieee 14-busmentioning

confidence: 99%

Section: Results and Analysis Of Ieee 14-busmentioning

confidence: 99%

A fast heuristic optimization algorithm for measurement placement in distribution system state estimation

Jiao

Wáng

et al. 2017

IEEJ Transactions Elec Engng

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“…By exchanging experience, seekers determine their direction and step size, then update their location, and, finally, find the optimal point. Since it is proposed, it has been used by researchers in different engineering applications like system modeling and optimal control [22,23]. To overcome the individual limits of SOA, a hybridization of SOA and NM algorithm is used in this paper, which simultaneously retains the benefits of both techniques while discarding their drawbacks.…”

Section: Introductionmentioning

confidence: 99%

Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method

et al. 2019

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This paper deals with an ultracapacitor (UC) model and its identification procedure. To take UC’s fractional characteristic into account, two constant phase elements (CPEs) are used to construct a model structure according to impedance spectrum analysis. The different behaviors of UC such as capacitance, resistance, and charge distribution dynamics are simulated by the corresponding part in the model. The resistance under different voltages is calculated through the voltage rebound method to explore its non-linear characteristics and create a look-up table. A nonlinear fractional model around an operation voltage is then deduced by applying the resistance table. This time identification is carried by a proposed hybrid optimization algorithm: Nelder-Mead seeker algorithm (NMSA), which embeds the Nelder–Mead Simplex (NMS) method into the seeker optimization algorithm (SOA). Its time behavior has been compared with the linear fractional model for charging and discharging current profiles at different levels.

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“…HSE deals with a limited number of measuring devices to estimate the harmonic state at unmonitored buses in power systems [4][5][6][7]. Several contributions in the frequency domain have been reported to solve the HSE problem, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Several contributions in the frequency domain have been reported to solve the HSE problem, e.g. the classic weighted least squares (WLS) [4][5], and the singular value decomposition (SVD) [6][7] have been used. However, all of them use voltage and current phasor quantities for each harmonic.…”

Section: Introductionmentioning

confidence: 99%

Time domain harmonic state estimation in unbalanced power networks based on optimal number of meters and the principle of half‐wave symmetry

Molina-Moreno

Medína

Cisneros-Magana

et al. 2017

IET Generation Trans & Dist

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This paper proposes a time domain methodology for harmonic state estimation (HSE) in power systems. The proposed methodology is formulated to analyse the unbalanced operation of three-phase power systems including nonlinear loads. It takes into account the optimal number of measuring devices and exploits the property of half-wave symmetry in voltage and current waveforms to significantly reduce the computational effort of the solution process. The results obtained are in closely agreement with the actual response obtained from the time domain power system simulation performed with the SimPowerSystems toolbox of Simulink®. Hence, the proposed methodology can adequately assess the harmonic state in unbalanced power systems. The results show a considerable reduction in the instrumentation resources and time processing needed for HSE in nonlinear power networks.

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Power quality meters placement using seeker optimization algorithm for harmonic state estimation

Cited by 23 publications

References 26 publications

A fast heuristic optimization algorithm for measurement placement in distribution system state estimation

A fast heuristic optimization algorithm for measurement placement in distribution system state estimation

Fractional-Order Modeling and Parameter Identification for Ultracapacitors with a New Hybrid SOA Method

Time domain harmonic state estimation in unbalanced power networks based on optimal number of meters and the principle of half‐wave symmetry

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