Optimized tuning of power oscillation damping controllers using probabilistic approach to enhance small-signal stability considering stochastic time delay

Gurung, Samundra; Naetiladdanon, Sumate; Sangswang, Anawach

doi:10.1007/s00202-019-00833-6

Cited by 14 publications

(14 citation statements)

References 35 publications

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“…Recently, in some studies, the LFO damping by an auxiliary controller has been proposed as a power oscillation damper (POD) through LPFs 9‐15 . This idea was first raised in 2013 9 .…”

Section: Introductionmentioning

confidence: 99%

“…In 2016, the new idea based on adaptive control was suggested for controller design using LPF FGGM. 10 In References 11‐14 in 2019, the lead‐lag controller was proposed as POD for LPFs based on generic dynamic model for renewable technologies (GDMRT), second generation generic model (SGGM), and FGGM for LPFs.It should be noted that Reference 14 proposed the lead‐lag controller for LPF in a smart power system considering stochastic time delay.Recently, the proportional‐integral‐derivative (PID) controller has been proposed as POD for LFO damping using LPF 15 . The results of this study showed the superiority of the PID controller compared to the lead‐lag controller in terms of LFO damping.…”

Section: Introductionmentioning

confidence: 99%

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Optimal coordinated tuning of power system stabilizers and wide‐area measurement‐based fractional‐order PID controller of large‐scale PV farms for LFO damping in smart grids

Saadatmand

Mozafari

Gharehpetian

et al. 2021

Int Trans Electr Energ Syst

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Summary In recent years, the installation of large‐scale photovoltaic (PV) farms (LPFs) is expanding around the world. Due to the addition of LPFs to the power system and increasing their penetration level, they should be able to undertake the most common tasks of conventional power plants in coordinated with other devices in the power system. Damping of low‐frequency oscillation (LFO) through the power system stabilizers (PSSs) is regarded as one of these common tasks. Therefore, the LPF must be able to damp the LFO in coordinated with the PSSs. This paper proposes a new method for LFO damping in power system which is based on optimal coordination of wide‐area measurement‐based fractional‐order proportional‐integral‐derivative (WMFOPID) controller as an auxiliary controller for LPF and PSSs of synchronous generators. The performance evaluation of the optimal coordinated WMFOPID controller is performed in a smart two‐area power system and is compared with other controllers in terms of LFO damping. The simulation results show the better performance of the optimal coordinated WMFOPID controller compared to the uncoordinated case and determine the effectiveness of the novel proposed method for LFO damping. The results also show the high robustness of the optimal WMFOPID controller compared to previous controllers, against some uncertainties in the power system.

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“…Recently, in some studies, the LFO damping by an auxiliary controller has been proposed as a power oscillation damper (POD) through LPFs 9‐15 . This idea was first raised in 2013 9 .…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal coordinated tuning of power system stabilizers and wide‐area measurement‐based fractional‐order PID controller of large‐scale PV farms for LFO damping in smart grids

Saadatmand

Mozafari

Gharehpetian

et al. 2021

Int Trans Electr Energ Syst

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“…In [7], an analysis of SSS is showed by considering the stochasticity of the time delay of PMU signals that feed the POD of wind or solar generation units, which are parameterized by using swarm intelligence algorithm techniques through of accumulated probabilistic method. Now in [8], the expected value method (as known as expectation model) of the system eigenvalues is used through the probabilistic analysis on the time delay variable of the exchange power obtained by PMUs, where it is shown that an adequate adjustment of the PSS gain allows limiting the effect of the time delay by improving the SSS.…”

Section: Introductionmentioning

confidence: 99%

“…The generality is analyzed considering a particular operational scenario, due to the difficulty in which the PSS parameters adapt to changes in conditions once they are established. When is considering the randomness of wind energy, a tuning scheme of PSSs is presented in [7]. Through the establishment of a composition of the cumulative distribution functions for damping and frequency error of the mode of interest concerning the operation without PSSs will have determined related to the generated of wind power and the activity with conventional PSSs ubicated by the highest residue.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Tuning of Power System Stabilizer Using a Damping Control Strategy Considering Stochastic Time Delay

Oscullo

Gallardo

2020

IEEE Access

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The operation of a modern electrical system presents complex operating conditions, and uncertainty factors increased by the presence of variable and flexible loads. This stochastic operating point variation can promote low-frequency oscillations, and like the conventional power system stabilizer (PSS) features static tuning, it does not provide sufficient damping. Today, an electrical system is monitored through online measurements from the wide-area measurement system (WAMS); moreover, it enables stochastic dynamics to be tracked as the remote signals of WAMS system, the time delay due to the communication channel. It is interesting to analyze the incorporation of the PSS of signals from the WAMS without the time delay effect that degrades the small-signal stability (SSS) and, in turn, allows adaptive tuning. Through two stages, at first, the subspace of the operating point is determined based on a distribution of consumption levels. Each operating point considered a random time delay. For each subspace, establish a bank of tuned PSSs. Second, through the optimal classification and the regression decision tree (CART), the classification rules for the subspace are determined, allowing classifying the measurements of WAMS. The proposed methodology is applied to the New England of 66-bus system and Ecuadorian electric system to demonstrate that the adaptive tuning of PSSs significantly improves SSS under different scenarios and is probabilistic robust, considering the time delay.

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Coordinated design of PSS and multiple FACTS devices based on the PSO-GA algorithm to improve the stability of wind–PV–thermal-bundled power system

He,

Pan,

Fan

et al. 2023

Electr Eng

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Optimized tuning of power oscillation damping controllers using probabilistic approach to enhance small-signal stability considering stochastic time delay

Cited by 14 publications

References 35 publications

Optimal coordinated tuning of power system stabilizers and wide‐area measurement‐based fractional‐order PID controller of large‐scale PV farms for LFO damping in smart grids

Optimal coordinated tuning of power system stabilizers and wide‐area measurement‐based fractional‐order PID controller of large‐scale PV farms for LFO damping in smart grids

Adaptive Tuning of Power System Stabilizer Using a Damping Control Strategy Considering Stochastic Time Delay

Coordinated design of PSS and multiple FACTS devices based on the PSO-GA algorithm to improve the stability of wind–PV–thermal-bundled power system

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