Solar-PV inverter for the overall stability of power systems with intelligent MPPT control of DC-link capacitor voltage

Sheetal Singh; Sanju Saini; S. K. Gupta; Rajeev Kumar

doi:10.1186/s41601-023-00285-y

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Solar-PV inverter for the overall stability of power systems with intelligent MPPT control of DC-link capacitor voltage

Original Research | 更新时间：2026-09-30

- Solar-PV inverter for the overall stability of power systems with intelligent MPPT control of DC-link capacitor voltage
- Protection and Control of Modern Power Systems Vol. 8, Issue 1, Pages: 1-20(2023)
- 作者机构：
  
  1. Electrical Engineering Department, Deenbandhu Chhotu Ram University of Science and Technology Murthal, Murthal,India
  2. Electrical and Electronics Engineering Department, KIET Group of Institutions, Ghaziabad,India
- 作者简介：
- 基金信息：
- DOI：10.1186/s41601-023-00285-y
  CLC：
- Published：01 January 2023
- 稿件说明：
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Sheetal Singh, Sanju Saini, S. K. Gupta, et al. Solar-PV inverter for the overall stability of power systems with intelligent MPPT control of DC-link capacitor voltage[J]. Protection and Control of Modern Power Systems, 2023, 8(1): 1-20.
DOI：

Sheetal Singh, Sanju Saini, S. K. Gupta, et al. Solar-PV inverter for the overall stability of power systems with intelligent MPPT control of DC-link capacitor voltage[J]. Protection and Control of Modern Power Systems, 2023, 8(1): 1-20. DOI： 10.1186/s41601-023-00285-y.

摘要

This paper demonstrates the controlling abilities of a large PV-farm as a Solar-PV inverter for mitigating the chaotic electrical

electromechanical

and torsional oscillations including Subsynchronous resonance in a turbogenerator-based power system. The oscillations include deviations in the machine speed

rotor angle

voltage fluctuations (leading to voltage collapse)

and torsional modes. During the night with no solar power generation

the PV-plant switches to PV-STATCOM mode and works as a Solar-PV inverter at its full capacity to attenuate the oscillations. During full sun in the daytime

on any fault detection

the PV-plant responds instantly and stops generating power to work as a Solar-PV inverter. The PV-farm operates in the same mode until the oscillations are fully alleviated. This paper manifests the control of the DC-link capacitor voltage of the Solar-PV inverter with a bacterial foraging optimization-based intelligent maximum power point tracking controller for the optimal control of active and reactive power. Kundur's multi-machine model aggregated with PV-plant is modeled in the Matlab/Simulink environment to examine the rotor swing deviations with associated shaft segments. The results for different test cases of interest demonstrate the positive outcomes of deploying large PV-farms as a smart PV-STATCOM for controlling power system oscillations.

Abstract

This paper demonstrates the controlling abilities of a large PV-farm as a Solar-PV inverter for mitigating the chaotic electrical

electromechanical

and torsional oscillations including Subsynchronous resonance in a turbogenerator-based power system. The oscillations include deviations in the machine speed

rotor angle

voltage fluctuations (leading to voltage collapse)

and torsional modes. During the night with no solar power generation

the PV-plant switches to PV-STATCOM mode and works as a Solar-PV inverter at its full capacity to attenuate the oscillations. During full sun in the daytime

on any fault detection

the PV-plant responds instantly and stops generating power to work as a Solar-PV inverter. The PV-farm operates in the same mode until the oscillations are fully alleviated. This paper manifests the control of the DC-link capacitor voltage of the Solar-PV inverter with a bacterial foraging optimization-based intelligent maximum power point tracking controller for the optimal control of active and reactive power. Kundur’s multi-machine model aggregated with PV-plant is modeled in the Matlab/Simulink environment to examine the rotor swing deviations with associated shaft segments. The results for different test cases of interest demonstrate the positive outcomes of deploying large PV-farms as a smart PV-STATCOM for controlling power system oscillations.

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references

3. Kumar, R., Khetrapal, P., Badoni, M., Diwania, S. ( 2022 ). Evaluating the relative operational performance of wind power plants in Indian electricity generation sector using two-stage model. Energy and Environment , 33 ( 7 ), pp. 1441–1464. [Online ] . Available: https://doi.org/10.1177/0958305X211043531.

4. Kumar, R., Diwania, S., Khetrapal, P., Singh, S., Badoni, M. ( 2021 ). Multimachine stability enhancement with hybrid PSO-BFOA based PV-STATCOM. Sustainable Computing Informatics and Systems . [Online ] . Available: https://doi.org/10.1016/j.suscom.2021.100615.

5. Kumar, R., Diwania, S., Khetrapal, P., Singh, S. ( 2022 ). Performance assessment of the two metaheuristic techniques and their hybrid for power system stability enhancement with PV-STATCOM. Neural Computing and Applications , 34, pp. 3723–3744. [Online ] . Available: https://doi.org/10.1007/s00521-021-06637-9.

7. PV Resources, Large scale photovoltaic power plants ranking 1–50 , 2016. [Online ] . Available: http://www.pvre sources.com/en/pvpowerplants/top50pv.php#notes.

8. Sunpower, Solar Projects, Solar Star Projects . ( 2016 ). [Online ] . Available: http://us.sunpower.com/utility-scale-solar-power-lants/solarenergy-projects/solar-star-projects/.

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30. Abdulrahman, I., Belkacemi, R., Radman, G. ( 2019 ). Power oscillations damping using wide-area-based solar plant considering adaptive time-delay compensation. Energy System . [Online ] . Available: https://doi.org/10.1007/s12667-019-00350-2.

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