Study on Inertia Support Capability and Its Impact in Large Scale Power Grid with Increasing Penetration of Renewable Energy Sources

Qin, Xiaohui; Su, Lining; Jiang, Yu; Zhou, Qinyong; Chen, Jinmeng; Xu, Xiwang; Chi, Yongning; An, Ning

doi:10.1109/powercon.2018.8601687

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…where X is the inductance of the inductor, and X=ꞷ 0 L. Substituting 3 The frequency deviation (∆ω ≤0.03Hz) is relatively small under actual circumstances, otherwise ∆ω will exceed the range of the dead zone of the primary frequency regulation [24], it can be obtained by comparing (13) (14) It can be seen from (14) that the equivalent inertia coefficient T J of the system has the characteristic of complex frequency domain, and changes with the gains K i , K h and the range of cutoff frequency ꞷ c in the RoCoF control strategy. T U KK = (16) It can be seen from (15) and (16), that the PI parameter affects the size of the droop coefficient and the synchronization coefficient.…”

Section: Vector Diagram Of Inverter In Dq-framementioning

confidence: 99%

RoCoF Droop Control of PMSG-Based Wind Turbines for System Inertia Response Rapidly

Abuduwayiti

Chen

et al. 2020

IEEE Access

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This paper proposes a RoCoF droop control, which relieves the transient frequency change process by controlling the energy of the DC side capacitor. Firstly, analyze and classify the control time scale of the wind power system (WPS). Under the electromagnetic time scale, combine the low-pass filter (LPF) and the differential link to obtain the control link of the system. Therefore, the transient process of RoCoF is effectively improved. Secondly, on the basis of the inertia analysis of the original synchronous generator, further derivation and analysis of the RoCoF droop control inertia characteristics. Compared with traditional droop control, RoCoF droop control enables the inverter to have the ability to improve frequency deviation. Then, the mechanism analysis of the bus capacitance voltage to the system inertia support is given, the relationship between capacitor reserve capacity and RoCoF is derived, which verifies the feasibility of capacitor-assisted frequency modulation. Finally, the experimental comparison with the droop control strategy is carried out based on the RT-LAB platform. INDEX TERMS Wind power generation, Droop control, Inertia and damping, Frequency deviation, Rate of change of frequency.

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Section: Vector Diagram Of Inverter In Dq-framementioning

confidence: 99%

RoCoF Droop Control of PMSG-Based Wind Turbines for System Inertia Response Rapidly

Abuduwayiti

Chen

et al. 2020

IEEE Access

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“…In today's 21st century, the world is facing unprecedented energy and environmental challenges [1][2][3][4]. With population growth, the acceleration of industrialization, and the advance of urbanization, energy demand continues to rise, while traditional centralized power systems are increasingly struggling to meet these challenges.…”

Section: Introductionmentioning

confidence: 99%

Optimal Economic Research of Microgrids Based on Multi-Strategy Integrated Sparrow Search Algorithm under Carbon Emission Constraints

Zhao,

Yang,

Liu

et al. 2024

Symmetry

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In the global transition towards sustainable energy, microgrids are emerging as a core component of distributed energy systems and a pivotal technology driving this transformation. By integrating renewable energy sources such as solar and wind power, microgrids not only enhance energy efficiency and reduce reliance on traditional energy sources but also bolster grid stability and mitigate the risk of widespread power outages. Consequently, microgrids demonstrate significant potential in improving the reliability of power supply and facilitating flexibility in energy consumption. However, the operational planning and optimization of microgrids are faced with complex challenges characterized by multiple objectives and constraints, making the reduction in operational costs a focal point of research. This study fully considers an operational model for a microgrid that incorporates distributed energy resources and comprehensive costs, integrating a battery storage system to ensure three-phase balance. The microgrid model includes photovoltaic power generation, wind power generation, fuel cells, micro-gas turbines, energy storage systems, and loads. The objectives of operating and maintaining this microgrid primarily involve optimizing dispatch, energy consumption, and pollution emissions, aiming to reduce carbon emissions and minimize total costs. To achieve these goals, the study introduces a carbon emission constraint strategy and proposes an improved Multi-Strategy Integrated Sparrow Search Algorithm (MISSA). By applying the MISSA to solve the operational problems of the microgrid and comparing it with other algorithms, the results demonstrate the effectiveness of the carbon emission constraint strategy in the microgrid’s operation. Furthermore, the results prove that the MISSA can achieve the lowest comprehensive operational costs for the microgrid, confirming its effectiveness in addressing the operational challenges of the microgrid.

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“…In May 2019, the UK Committee on Climate Change (CCC) amended the 2008 Climate Change Act and revealed the more ambitious goal of achieving net-zero carbon emissions by 2050 [2]. Power generation from Renewable Energy Sources (RESs) rapidly increases and imposes significant pressure on maintaining the grid stability as it is a great challenge of maintaining the balance between the load and generation due to the intermittent nature of RESs and the reduction of grid system inertia or spin reserve from the rotating machines [3]. Therefore, the cost of grid balance has continuously increased in recent years, which cost UK National Grid £1.789 billion in 2020 (49.3% year-on-year increase) [4].…”

Section: Introductionmentioning

confidence: 99%

Development and Comparison of Two Computational Intelligence Algorithms for Electrical Load Forecasts with Multiple Time Scales

Liu

Zhang

Wang

2022

2022 Power System and Green Energy Conference (PSGEC)

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Study on Inertia Support Capability and Its Impact in Large Scale Power Grid with Increasing Penetration of Renewable Energy Sources

Cited by 6 publications

References 16 publications

RoCoF Droop Control of PMSG-Based Wind Turbines for System Inertia Response Rapidly

RoCoF Droop Control of PMSG-Based Wind Turbines for System Inertia Response Rapidly

Optimal Economic Research of Microgrids Based on Multi-Strategy Integrated Sparrow Search Algorithm under Carbon Emission Constraints

Development and Comparison of Two Computational Intelligence Algorithms for Electrical Load Forecasts with Multiple Time Scales

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