Stability improvement of a multimachine power system connected with a large-scale hybrid wind-photovoltaic farm using a supercapacitor

Li Wang, Quang Son Vo, Anton V. Prokhorov

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

2 Цитирования (Scopus)

Выдержка

This paper presents the stability improvement of a multimachine power system connected with a large-scale hybrid wind-photovoltaic (PV) farm using an energy-storage unit based on supercapacitor (SC). The operating characteristics of the hybrid wind-PV farm are simulated by an equivalent aggregated 300-MW wind-turbine generator (WTG) based on permanent-magnet synchronous generator and an equivalent aggregated 75-MW PV array. The WTG and the PV array are connected to a common dc link through a voltage-source converter and a dc/dc boost converter, respectively. The power of the common dc link is transferred to the multimachine power system through a voltage-source inverter, step-up transformers, and a connection line. The SC-based energy-storage unit, which is integrated into the common dc link through a bidirectional dc/dc converter, is employed for smoothing out the power fluctuations due to variations of wind speed and/or solar irradiance. A PID supplementary damping controller (PID-SDC) is designed for the bidirectional dc/dc converter of the SC to enhance the damping characteristics of the low-frequency oscillations associated with the studied multimachine power system. The root loci of the studied system are examined under wide ranges of wind speed and solar irradiance. The effectiveness of the proposed SC joined with the PID-SDC on improving the performance of the studied system under different disturbance conditions is also demonstrated using time-domain simulations.

Язык оригиналаАнглийский
Название основной публикации2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference, I and CPS 2017
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781509057245
DOI
СостояниеОпубликовано - 8 июн 2017
Событие53rd IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2017 - Niagara Falls, Канада
Продолжительность: 6 мая 201711 мая 2017

Конференция

Конференция53rd IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2017
СтранаКанада
ГородNiagara Falls
Период6.5.1711.5.17

Отпечаток

Farms
Damping
Turbogenerators
Wind turbines
Energy storage
Root loci
Controllers
Synchronous generators
Electric potential
Permanent magnets
Supercapacitor

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Цитировать

Wang, L., Vo, Q. S., & Prokhorov, A. V. (2017). Stability improvement of a multimachine power system connected with a large-scale hybrid wind-photovoltaic farm using a supercapacitor. В 2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference, I and CPS 2017 [7945117] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPS.2017.7945117

Stability improvement of a multimachine power system connected with a large-scale hybrid wind-photovoltaic farm using a supercapacitor. / Wang, Li; Vo, Quang Son; Prokhorov, Anton V.

2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference, I and CPS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7945117.

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Wang, L, Vo, QS & Prokhorov, AV 2017, Stability improvement of a multimachine power system connected with a large-scale hybrid wind-photovoltaic farm using a supercapacitor. в 2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference, I and CPS 2017., 7945117, Institute of Electrical and Electronics Engineers Inc., Niagara Falls, Канада, 6.5.17. https://doi.org/10.1109/ICPS.2017.7945117
Wang L, Vo QS, Prokhorov AV. Stability improvement of a multimachine power system connected with a large-scale hybrid wind-photovoltaic farm using a supercapacitor. В 2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference, I and CPS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7945117 https://doi.org/10.1109/ICPS.2017.7945117
Wang, Li ; Vo, Quang Son ; Prokhorov, Anton V. / Stability improvement of a multimachine power system connected with a large-scale hybrid wind-photovoltaic farm using a supercapacitor. 2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference, I and CPS 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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AB - This paper presents the stability improvement of a multimachine power system connected with a large-scale hybrid wind-photovoltaic (PV) farm using an energy-storage unit based on supercapacitor (SC). The operating characteristics of the hybrid wind-PV farm are simulated by an equivalent aggregated 300-MW wind-turbine generator (WTG) based on permanent-magnet synchronous generator and an equivalent aggregated 75-MW PV array. The WTG and the PV array are connected to a common dc link through a voltage-source converter and a dc/dc boost converter, respectively. The power of the common dc link is transferred to the multimachine power system through a voltage-source inverter, step-up transformers, and a connection line. The SC-based energy-storage unit, which is integrated into the common dc link through a bidirectional dc/dc converter, is employed for smoothing out the power fluctuations due to variations of wind speed and/or solar irradiance. A PID supplementary damping controller (PID-SDC) is designed for the bidirectional dc/dc converter of the SC to enhance the damping characteristics of the low-frequency oscillations associated with the studied multimachine power system. The root loci of the studied system are examined under wide ranges of wind speed and solar irradiance. The effectiveness of the proposed SC joined with the PID-SDC on improving the performance of the studied system under different disturbance conditions is also demonstrated using time-domain simulations.

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