Sensitivity-based coordination to controllable ranges of UPFCs to avoid active power loop flows

Li, Shenghu; Wang, Ting; Zhang, Hao; Wang, Lei; Jiang, Yitian; Xue, Jianru

doi:10.1016/j.ijepes.2019.105383

Cited by 16 publications

(15 citation statements)

References 19 publications

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“…In 2020, Shenghu Li et al [2] studied the setting of the active power range controllable for the UPFC in order to evade the APLFs. The sensitivity among the flow of the active power for the vital branch in addition to the active power setting for the UPFC was introduced, and iteratively worked out to discover the minimal settings of the power generation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Also, in a power system, minimum oscillations of frequency might take place owing to several disturbances like deviations in a generation, faults and load, in transmission lines. In the power system, for large scale wind firm, the miniature stability of the signal angular has been studied [2]. These oscillations did not merely degrade the power system stability although it might lead to a mechanical loss if not detached or quite damped.…”

Section: Introductionmentioning

confidence: 99%

“…At contingency, the nonlinearity turns out to be popular. In this condition, the existing controllers are irrelevant at a single operating point; they are useful [2].…”

Section: Introductionmentioning

confidence: 99%

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Hybrid OBL-GO Algorithm to Support Damping Oscillations in Coordinated Control of UPFC and TCSC

S¹

2020

JCMPS

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When controlling the stability of the power system, a suitable oscillation damping is a forthcoming major demand. Usually, this oscillation takes place owing to the variation established, while two systems are interlinked. Moreover, this work focuses on the oscillation resulted in the power system as the primary demand that hence acts as valid experimentation in the 68-bus system. Here, it develops a satisfactory CC with two FACTS devices like Unified power flow controller (UPFC) and Thyristor Controlled Series Capacitors (TCSC) that are associated with Power System Stabilizer (PSS). Significantly, it uses the Hybrid OBL-GOA approach to set up the CC between the FACTS devices. To the later of the experimentation, this work evaluates the performance of the proposed model with existing optimizations such as Gravitational Search Algorithm (GSA), Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA), approach to set up the CC. Significantly, it requires a comprehensive study on the effect of loading aspects and PSS in CC. Consequently, the Hybrid Opposition Based Learning (OBL)-Grasshopper Optimization Algorithm (GOA)-CC performance controls against the stable power system with dynamic oscillations damping, subsequent to the evaluation of the proposed model over the conventional approaches.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hybrid OBL-GO Algorithm to Support Damping Oscillations in Coordinated Control of UPFC and TCSC

S¹

2020

JCMPS

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“…These problems may be solved by the sensitivity model of power system reliability . The sensitivity between the active power setting of the UPFC and the active power flow of the critical branch is proposed . An optimal system sizing method is formulated for hybrid energy system .…”

Section: Introductionmentioning

confidence: 99%

Sensitivity‐based reliability coordination for power systems considering wind power reserve based on hybrid correlation control method for wind power forecast error

Dong

Zhang

et al. 2020

Int Trans Electr Energ Syst

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Summary With the derated output, the wind farms provide the active power reserve and contribute to power system reliability. The impacts of the wind power forecast error (WPFE) on the capability of reserve provision and power system reliability may be quantified by the sensitivity model. For reliability and sensitivity analysis, the samples of the WPFE are usually manually generated instead of the historical data, thus the correlation control methods should be used to ensure that the samples have the same correlation with the historical data. The existing methods are either inaccurate or computationally expensive. In this article, a hybrid method for correlation control is proposed to reduce the calculation effort while ensuring the accuracy. The univariate nonstandard third‐order polynomial normal transformation (NSTPNT) method is extended to multivariate one to produce the non‐normal sample which is applied as the initial population of the genetic algorithm with local search to improve the initial fitness. The analytical sensitivity model of power system reliability with respect to the derated proportion of the wind farms and the reserve capacity provided by the conventional generators is proposed. The coordination model describing the relationship among the expected demand not served and the reserves of the wind power and the conventional generators is proposed. In numerical results, the computational effort of the proposed hybrid method is analyzed. The accuracies of the sensitivity model and the coordination model are validated. The contributions of the wind power deration and the conventional generator's reserve on the reliability are compared.

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“…Consequently, for overcoming these problems, the FACTS devices like TCR, UPFC [1] [2] are deployed that achieves enhanced electrical power quality. It also offers diverse harmonic orders and recompenses for reactive power [5]. Furthermore, the source currents are assessed when the loads are unstable and stable [3].…”

Section: Introductionmentioning

confidence: 99%

Optimal Placement of Unified Power Flow Controller via Chronological Sine Cosine Algorithm

Savargave¹

2020

JCMPS

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The Unified Power Flow Controller (UPFC) is one of the most promising Flexible AC Transmission Systems (FACTS) devices for the load flow control. Optimizing the size and allocation for UPFCs is of noteworthy concern for increasing the loading capability of the system. So far, numerous optimization models were developed for resolving the issues in UPFC. Thereby, this work uses the Chronological Sine Cosine Algorithm (SCA) model for optimal allocation of UPFC to attain Optimal Power Flow (OPF). The algorithm is the enhanced version of the conventional SCA algorithm. In addition, the overall cost function given for resolving the placement issue comprises the reduction of cost and power loss. Finally, the superiority of the adopted scheme is evaluated over traditional models in terms of varied measures.

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Sensitivity-based coordination to controllable ranges of UPFCs to avoid active power loop flows

Cited by 16 publications

References 19 publications

Hybrid OBL-GO Algorithm to Support Damping Oscillations in Coordinated Control of UPFC and TCSC

Hybrid OBL-GO Algorithm to Support Damping Oscillations in Coordinated Control of UPFC and TCSC

Sensitivity‐based reliability coordination for power systems considering wind power reserve based on hybrid correlation control method for wind power forecast error

Optimal Placement of Unified Power Flow Controller via Chronological Sine Cosine Algorithm

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