Power System Inertia Estimation Using HVDC Power Perturbations

Best, Robert; Brogan, Paul; Morrow, D. John

doi:10.1109/tpwrs.2020.3028614

Cited by 27 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The inertia expression is derived based on the swing equation in the frequency domain, the inertia estimation is related to the Fourier transformation results of the entire oscillation [11]. In [12], an energy based inertial estimation technique was adopted for the power disturbance caused by the flow switch on an HVDC interconnector. However, the above methods do not take the inertia distribution between areas into account.…”

Section: Literature Reviewmentioning

confidence: 99%

“…σ(m) is the standard deviation of the first m elements in H k , N is the number of elements corresponding to the minimum value of σ(m). Finally, to reduce the influence of the inaccurate measurement and the primary frequency regulation response, the average value of the first N elements in the vector H k is taken as the estimation result according to Equation (12). In addition, the equivalent inertia of the power system is obtained by Equation (13).…”

Section: Estimation Of Area Inertia Based On Numerical Integration Me...mentioning

confidence: 99%

“…To verify the rationality of measurement node selection of area frequency, the area frequency measured from D max bus, D min bus and the frequency of the centre of inertia are used. The area inertia is estimated by Equations (11) and (12). The comparison results are shown in Figure 9.…”

Section: Rationality Verification Of Measurement Node Selection Of Ar...mentioning

confidence: 99%

See 2 more Smart Citations

Area inertia estimation of power system containing wind power considering dispersion of frequency response based on measured area frequency

Dong

Yao

et al. 2022

IET Generation Trans & Dist

View full text Add to dashboard Cite

With the rapid increase of the penetration rate of renewable energy sources in power system, the decrease of system inertia will threaten the frequency stability, and the dispersion of frequency response cannot be ignored. This paper proposes a method to estimate area inertia of power system containing wind power considering dispersion of frequency response. Firstly, the impact of inertia distribution between areas on the frequency stability and the inter-area oscillation are analysed. Secondly, the system is divided based on the spectral clustering algorithm and the frequency similarity index is defined according to the Pearson correlation coefficient to determine the measurement locations for area frequency. Thirdly, the measured tie-line power and frequency deviation are used to estimate the area inertia based on the numerical integration method. Finally, the case study is conducted based on the modified IEEE 39-bus system. The simulation results revealed that the proposed method is accurate and reliable in different scenarios.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Estimation Of Area Inertia Based On Numerical Integration Me...mentioning

confidence: 99%

See 1 more Smart Citation

Area inertia estimation of power system containing wind power considering dispersion of frequency response based on measured area frequency

Dong

Yao

et al. 2022

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…The methods presented in [1], [7]- [10] use the swing equation to estimate the inertia of areas [1], whole system [7]- [9], or individual sources [10] in the event of a power imbalance. Similarly, the papers [11] and [12] use energy-based methods to estimate inertia. The authors of [13]- [15] use oscillations after a fault to compute inertia.…”

Section: Introductionmentioning

confidence: 99%

Continuous Real-Time Estimation of Power System Inertia Using Energy Variations and Q-Learning

Lavanya

2023

IEEE Open J. Instrum. Meas.

View full text Add to dashboard Cite

With the growing emphasis on mitigating climate change, the power industry is moving towards renewable energy sources as an alternative to fossil fuel-based power plants. The transition to renewable energy has created numerous challenges, one of which is the low levels of inertia that impact the stability of power systems. Therefore, inertia monitoring has become an integral part of power system operation to dispatch renewable energy sources while maintaining frequency stability. This article presents an online method to continuously estimate the inertia of a power system. The inertia is computed from PMU (Phasor Measurement Unit) data using small variations in frequency and power under ambient conditions. The method uses electrical and kinetic energy variations to compute inertia. In addition, a Q-learning-based method is presented to identify mechanical power changes to discard invalid inertia estimates. The method is demonstrated using the IEEE-39 bus system to monitor the regional inertia of the test system.

show abstract

“…In [15], the load inertia provided by different power consumer groups is estimated, analyzing a permanent short circuit event. In [16], the inertia contribution from power station auxiliary loads is also taken into consideration in the overall system inertia using measurements taken during HVDC power perturbations. However, the disturbance-based estimation methods allow inertia estimation after severe events which do not occur very often in a power system and thus the real-time inertia estimation is not feasible.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Load Inertia using Ambient Measurements from Synchrophasor Technology

Elenkova

Asprou

Hadjidemetriou

et al. 2022

2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

View full text Add to dashboard Cite

The number of non-synchronous renewables and dynamic loads is rapidly increasing, which results in a variable system inertia. Thus, accurately quantifying the contribution of the demand side to the system inertia is becoming an important aspect and can help operators to maintain the system stability. This paper proposes an online estimation method to monitor the time-varying inertia of the loads under normal operating conditions. The widely used composite load model (CLM) of Western Electricity Coordinating Council (WECC) is employed, capable of representing diverse composition and dynamic characteristics of loads, in an aggregate manner. A measurement-oriented approach is proposed to estimate the load inertia considering only ambient measurements provided by Phasor Measurement Units (PMUs) during normal grid operation. The inertia estimation of load buses at the transmission level is performed using the Least Squares (LS) method. The proposed method is validated under various case studies using the 39-bus test system, where the CLM is integrated. The case studies consider scenarios with different load composition and time varying load inertia, demonstrating that the proposed method can accurately and dynamically estimate the load inertia by using only ambient PMU measurements.

show abstract

Power System Inertia Estimation Using HVDC Power Perturbations

Cited by 27 publications

References 17 publications

Area inertia estimation of power system containing wind power considering dispersion of frequency response based on measured area frequency

Area inertia estimation of power system containing wind power considering dispersion of frequency response based on measured area frequency

Continuous Real-Time Estimation of Power System Inertia Using Energy Variations and Q-Learning

Estimation of Load Inertia using Ambient Measurements from Synchrophasor Technology

Contact Info

Product

Resources

About