Enhancing Oscillation Damping in an Interconnected Power System with Integrated Wind Farms Using Unified Power Flow Controller

He, Peijun; Arefifar, Seyed Ali; Li, Congshan; Wen, Fushuan; Ji, Yu; Tao, Yukun

doi:10.3390/en12020322

Cited by 25 publications

(16 citation statements)

References 30 publications

(29 reference statements)

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“…In addition to all the challenges that are discussed, delays in the measurement and transmission of the signal are another challenge of power grid stability. For the stable performance of MG, a real-time balance between demand and generation must be established so that the frequency remains constant in allowable frequency limits [48][49][50][51][52][53][54][55][56][57]. The stability of the frequency control in the presence of time delay is investigated [58,59], but these studies do not consider wind power participation in frequency behaviour improvement.…”

Section: Contributions Concernsmentioning

confidence: 99%

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

et al. 2021

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Due to the high penetration of renewable energy resources in microgrids (MGs), the grid inertia becomes low which leads to the grid to be vulnerable to large disturbances. The energy storage devices can play an important role to enhance the inertia of MGs. However, due to the high investment cost of storages or their dp/dt limitation, the installed energy storages cannot cover the challenge of high df/dt. A prominent solution to solve the problem is to use the inertia response of the wind generators. However, relatively high second frequency nadir is the main drawback of using the inertia response of the wind generators which may impose an extensive disturbance to MGs. Accordingly, a coordinated operation strategy for MGs between wind generator and hybrid energy storage (HES) system is proposed in this paper. In addition, to improve the inertia response of the MG; providing high-quality communication infrastructures with low delay and increasing the Ultracapacitor capacity have been paid attention. In this paper, the costs of the installed Ultracapacitor and quality of communication services are defined as the operation cost. Guaranteeing enough frequency damping for the MG with low operation cost are two conflict objectives. Therefore, a multi-objective optimization method is used to set the controllers' values and reduce the operation cost. The results confirmed that the effectiveness of the proposed strategy to control hybrid power storage in coordination with the wind generator and the frequency recovery process is improved. Also, employing the optimum values guaranteed the frequency damping effectively with low operation cost. The Integral Absolute Error (IAE) value and operation cost are reduced by 13.6% and 32%, respectively. Also, the simulation results show that the maximum MG frequency deviation and maximum df/dt is well compatible with different standards in the presence of load perturbations and different wind speeds.INDEX TERMS Microgrid (MG), Frequency control, Wind generator, Hybrid energy storage (HES), Ultra-capacitor, Inertia response, Multi-objective optimization.

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Section: Contributions Concernsmentioning

confidence: 99%

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

et al. 2021

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“…The power factor of the wind turbine is 0.98, the rated, cut-in and cut-out wind speed of the wind turbine is 15 m/s, 3 m/s and 25 m/s, respectively. Considering the rated, cut-in and cut-out wind speeds, the active and reactive power of the wind turbine can be calculated using Equations (1) and (2) according to wind speed. In reality, the uncertainty of the load is much less than that of wind speed, so we did not take the uncertainty of the load into consideration, and…”

Section: Case Illustration and Wind Speed Samplesmentioning

confidence: 99%

“…In recent years, the growth rate of wind power installed capacity has been rapid [1]. However, the consumption of wind power has restricted its development seriously [2]. Both the randomness and volatility of wind power have a great impact on the operation of a system [3], especially with respect to the problem of voltage beyond limits.…”

Section: Introductionmentioning

confidence: 99%

A Vine-Copula Based Voltage State Assessment with Wind Power Integration

et al. 2019

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With the increasing rate of wind power installed capacity, voltage state assessment with large-scale wind power integration is of great significance. In this paper, a vine-copula based voltage state assessment method with large-scale wind power integration is proposed. Firstly, the nonparametric kernel density estimation is used to fit the wind speed distribution, and vine-copula is used to construct the wind speed joint distribution model of multiple regions. In order to obtain voltage distribution characteristics, probabilistic load flow based on the semi-invariant method and wind speed independent transformation based on the Rosenblatt transformation are described. On this basis, a voltage state assessment index is established for the more comprehensive evaluation of voltage characteristics, and a voltage state assessment procedure is proposed. Taking actual wind speed as an example, the case study of the IEEE 24-node power system and the east Inner Mongolia power system for voltage state assessment with large-scale wind power integration are studied. The simulation results verify the effectiveness of the proposed voltage state assessment method.

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“…Particular attention, in fact, has been paid to the ability of the method to correctly estimate the oscillations damping coefficient, that is the parameter that mostly predicts potential system instability [27,28].…”

Section: Experimental Assessmentmentioning

confidence: 99%

An Optimized HT-Based Method for the Analysis of Inter-Area Oscillations on Electrical Systems

et al. 2019

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The paper deals with a novel method to measure inter-area oscillations, i.e., electromechanical oscillations involving groups of generators geographically distant from one another and ranging within the frequency interval from 0.1 Hz up to 1 Hz. The estimation of the parameters characterizing inter-area oscillations is a crucial objective in order to take the necessary actions to avoid the instability of the transmission electrical system. The proposed approach is a signal-based method, which uses samples of electrical signals acquired by the phasor measurement unit (PMU) and processes them to extract the individual oscillations and, for each of them, determine their characteristic parameters such as frequency and damping. The method is based on Hilbert transformations, but it is optimized through further algorithms aiming at (i) improving the ability to separate different oscillatory components, even at frequencies very close to each other, (ii) enhancing the accuracy associated with the damping estimates of each oscillation, and (iii) increasing the robustness to the noise affecting the acquired signal. Results obtained in the presence of signals involving the composition of two oscillations, whose damping and frequency have been varied, are presented. Tests were conducted with signals either synthesized in simulated experiment or generated and acquired with actual laboratory instrumentation.

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Enhancing Oscillation Damping in an Interconnected Power System with Integrated Wind Farms Using Unified Power Flow Controller

Cited by 25 publications

References 30 publications

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

A Vine-Copula Based Voltage State Assessment with Wind Power Integration

An Optimized HT-Based Method for the Analysis of Inter-Area Oscillations on Electrical Systems

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