Data‐driven robust extended computer‐aided harmonic power flow analysis

Nduka, Onyema S.; Ahmadi, Ali

doi:10.1049/iet-gtd.2020.0922

Cited by 5 publications

(5 citation statements)

References 30 publications

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“…DG could also have interharmonic emissions (non‐integer multiples of the fundamental frequency). To include interharmonic, the harmonic index h (as [2–50] in the formulation i.e. up to 2500 Hz based on 50 Hz) would be extended to be [2–500] that present the multiplier of 5 Hz.…”

Section: Discussionmentioning

confidence: 99%

“…A similar analytic approach is also used in [25][26][27]. [28] presented a data-driven method to reduce the need for complex harmonic modelling involved in the analytic approach, but its application in the planning stage could be limited due to the requirement of a large amount of DG measurement data. Nevertheless, [24] provides a valuable discussion of the main challenges in defining hosting capacity with harmonic analysis, which include as follows: the effects of variation in DG output on emissions, the need to apply the probabilistic compliance levels and the importance of appropriate time-averaging windows.…”

Section: Introductionmentioning

confidence: 99%

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Distribution network hosting capacity assessment: Incorporating probabilistic harmonic distortion limits using chance constrained optimal power flow

Sun

Harrison

2021

IET Smart Grid

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The capacity of renewable distributed generation (DG) connected in distribution networks is increasing. Use of power electronic interfaces means DG can inject harmonic currents through the point of common coupling into upstream networks. The limits stipulated in harmonic emission standards may create challenges for accommodating DG. To explore the impact of harmonic regulations on the ability of distribution networks to host DG, this work incorporates harmonic voltage constraints into a network hosting capacity assessment. A novel hosting capacity assessment approach is presented, incorporating percentile‐based harmonic compliance levels as chance constraints over multiple periods into AC optimal power flow. The case study shows that network hosting capacity for DG could be evidently lower under rigorous compliance with harmonic distortion limits, but that relaxation of the risk constraints has significant value. Furthermore, the complex inter‐connectivity between DG sites means that voltage, thermal and harmonic constraints all influence the locational feasibility for DG capacity.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distribution network hosting capacity assessment: Incorporating probabilistic harmonic distortion limits using chance constrained optimal power flow

Sun

Harrison

2021

IET Smart Grid

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“…For instance, one can train an artificial neural network to learn the harmonic model of a CIDER, such as a photovoltaic generator [37] or an electric-vehicle charging station [38]. In [39], a recursive leastsquares estimator is employed for data-driven HPF studies.…”

Section: B Steady-state Methodsmentioning

confidence: 99%

Harmonic Power-Flow Study of Polyphase Grids With Converter-Interfaced Distributed Energy Resources—Part I: Modeling Framework and Algorithm

Kettner¹,

Reyes-Chamorro

Becker

et al. 2022

IEEE Trans. Smart Grid

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Power distribution systems are experiencing a largescale integration of Converter-Interfaced Distributed Energy Resources (CIDERs). This complicates the analysis and mitigation of harmonics, whose creation and propagation are facilitated by the interactions of converters and their controllers through the grid. In this paper, a method for the calculation of the so-called Harmonic Power-Flow (HPF) in three-phase grids with CIDERs is proposed. The distinguishing feature of this HPF method is the generic and modular representation of the system components. Notably, as opposed to most of the existing approaches, the coupling between harmonics is explicitly considered. The HPF problem is formulated by combining the hybrid nodal equations of the grid with the closed-loop transfer functions of the CIDERs, and solved using the Newton-Raphson method. The grid components are characterized by compound electrical parameters, which allow to represent both transposed or non-transposed lines. The CIDERs are represented by modular linear time-periodic systems, which allows to treat both grid-forming and gridfollowing control laws. The method's accuracy and computational efficiency are confirmed via time-domain simulations of the CIGR É low-voltage benchmark microgrid. This paper is divided in two parts, which focus on the development (Part I) and the validation (Part II) of the proposed method.

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“…Data-driven intelligent method can consider various types of uncertainties in detail, which is currently one of the popular topics in related researches. Relying on the data measurement and artificial intelligence technology, this method is able to quantitatively evaluate the impact of uncertain factors on the power system with the help of massive data and training models [12][13][14]. In order to coordinate the integrated demand response and uncertainty of renewable energy generation, Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

Analytical prediction method of power system frequency deviation under uncertain power fluctuations

Zhu

2023

IET Generation Trans & Dist

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In modern power systems, the impact of random power sources and loads on power systems is increasing, resulting in threatened system frequency security. However, traditional methods are often not comprehensive in modelling randomness, and there is no analytical method to assess the frequency response of power systems under uncertain power fluctuations. Here, the power fluctuation in a power system is regarded as an interval random quantity. An analytical prediction method of the power system frequency deviation under uncertain power fluctuation is proposed. Through further deduction, the allowable range of power fluctuation under the premise of secure frequency deviation can also be defined, which provides a reference for frequency security and accident prevention in power systems. Numerical simulations with the model of the East China Power Grid demonstrate that the proposed analytical method can delimit the response interval of system frequency deviation well, and the backstepping calculation can also delimit the allowable range of power fluctuation to ensure the secure operation of the system.

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Data‐driven robust extended computer‐aided harmonic power flow analysis

Cited by 5 publications

References 30 publications

Distribution network hosting capacity assessment: Incorporating probabilistic harmonic distortion limits using chance constrained optimal power flow

Distribution network hosting capacity assessment: Incorporating probabilistic harmonic distortion limits using chance constrained optimal power flow

Harmonic Power-Flow Study of Polyphase Grids With Converter-Interfaced Distributed Energy Resources—Part I: Modeling Framework and Algorithm

Analytical prediction method of power system frequency deviation under uncertain power fluctuations

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