Small signal stability of the western North American power grid with high penetrations of renewable generation

Byrne, Raymond H.; Concepcion, Ricky James; Neely, Jason C.; Wilches-Bernal, Felipe; Elliott, Ryan Thomas; Lavrovа, Olga; Quiroz, Jimmy Edward

doi:10.1109/pvsc.2016.7749930

Cited by 16 publications

(12 citation statements)

References 14 publications

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“…Typical stimuli for the system include resistive brake insertions and modulation of power injection at different nodes in the system. One advantage of this approach is that its results can be compared to synchrophasor measurement unit data of real-world disturbances for model validation (Byrne et al, 2016). Once the data has been obtained from the simulation, common analysis techniques include Eigensystem Realization Algorithm (ERA), Prony analysis, and the Matrix pencil algorithm.…”

Section: Methodsmentioning

confidence: 99%

Stability of Power Grids: State-of-the-art and Future Trends

2019

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The state of the art of transient stability and steady-state (small signal) stability in power grids are reviewed. Transient stability concepts are illustrated with simple examples; in particular, we consider two machine learning-based methods for computing region of attraction: ROA produced by Neural Network Lyapunov Function; estimation of the ROA of IEEE 39-bus system using Gaussian process and Converse Lyapunov function. We discuss steady state stability in power systems, and using Prony's modal analysis for evaluating small signal stability for the 7 Bus Test system and real French power system.

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Section: Methodsmentioning

confidence: 99%

Stability of Power Grids: State-of-the-art and Future Trends

2019

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“…As for other studies in 2016, one of the main findings is penetration of a combination of renewable energy, solar and wind. The results of this study are able to increase the stability of frequency modes between areas, with minimal impact on damping [5]. The small signal stability evaluation technique based on eigenvalues is used to allow / deny interconnect microgrids.…”

Section: Introductionmentioning

confidence: 95%

A Matlab/Simulink Simulation Small Signal Stability of Single-Machine Infinite Bus Using Optimal Control Based on Load Cluster Patterns

Mado

Ruslim

Riyanto

2020

IJEEPSE

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Matlab/Simulink is sophisticated software that has been facilitated by MathWorks Inc. This device is increasingly being used in various fields of research. Likewise, it has great potential in the field of power system simulation. This paper presents a simulation of the optimal performance of the power generation system due to changes in load consumption. Small signal stability due to changes in electrical power usage at the load center is overcome by applying a load cluster pattern. The main objective of this research is to achieve control in a power generation system that is responsive and able to maintain stability in all operating conditions at the load center. Simulation results show the performance of optimal control of the power generation system in each load cluster. Contributions to improve the stability of the power plant system performance by 28.03 percent for frequency (F), 23.03 percent for voltage (V), and 29.5 percent for electric power (P).

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“…However, this paper required to improve the stability of the large-scale interconnected power system. Byrne et al (2016) quantified the impact of wind and photovoltaic generation on the inter-area modes of American power system. Here, an optimal control scheme was utilized to mitigate the modes and the communication delay of the control system.…”

Section: Related Workmentioning

confidence: 99%

An enhanced particle swarm optimization algorithm for improving the renewable energy penetration and small signal stability in power system

Renuka¹,

Reji²,

Sreedharan³

2018

Renewables

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In power systems, increasing the renewable energy penetration with small signal stability is one of the demanding and critical tasks in recent days. This research work aims to develop a multistage optimization technique, namely particle swarm optimization (PSO), for improving both the energy penetration and small signal stability. Here, the wind and solar power sources are considered, and its penetration is maximized by satisfying the grid requirements such as the bus voltage, line flows, and real and reactive power generation within the limit. This work includes two stages: in the first stage, PSO algorithm is implemented for maximizing the renewable energy penetration to the test systems. Then, in the second stage, the small signal stability of the systems is improved with maximum renewable energy penetration in which the best locations for connecting the wind farm are identified by using the calculation of wind farm placement index and solar generation is fixed by considering voltage and bus load absorption capability. During simulation, the proposed method is tested and validated by using IEEE 14-bus standard system, and the 220 kV Kerala (India) grid practical system with the solar and wind power. Moreover, various measures such as power generation, load and bus voltage are evaluated for two different case studies. In this evaluation, it is proved that the renewable energy sources are safely integrated with the power system with increased energy penetration and improved small signal stability. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Small signal stability of the western North American power grid with high penetrations of renewable generation

Cited by 16 publications

References 14 publications

Stability of Power Grids: State-of-the-art and Future Trends

Stability of Power Grids: State-of-the-art and Future Trends

A Matlab/Simulink Simulation Small Signal Stability of Single-Machine Infinite Bus Using Optimal Control Based on Load Cluster Patterns

An enhanced particle swarm optimization algorithm for improving the renewable energy penetration and small signal stability in power system

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