Modeling and Analysis of STATCOM for Renewable Energy Farm to Improve Power Quality and Reactive Power Compensation

Tariq, Muhammad Ilyas; Zaheer, Hina; Mahmood, Tahir

doi:10.3390/engproc2021012044

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…The projection of the International Energy Agency (IEA) in a recent report suggests a significant rise in wind power generation in microgrids in the future. As per the report, the capacity of wind power generation in microgrids is expected to increase to 9.2 GW by 2024, from 3.6 GW capacity in 2019 [3] , [4] . Furthermore, the report emphasizes that microgrids, including those powered by wind energy, will be more widespread in remote regions and islands, as well as in urban areas with high electricity consumption [5] , [6] .…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of DFIG support microgrid using GA optimized restricted Boltzmann Machine algorithm

Bhol,

Swain,

Dash

et al. 2024

Heliyon

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Section: Introductionmentioning

confidence: 99%

Performance analysis of DFIG support microgrid using GA optimized restricted Boltzmann Machine algorithm

Bhol,

Swain,

Dash

et al. 2024

Heliyon

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“…Tariq, M. et al [6], in their article, describe a new approach to voltage regulation and power quality improvement using static synchronous compensators. The proposed method involves adjusting the phase angle between the current and voltage using a simple PI controller to control the output voltage of the STATCOM.…”

Section: Introductionmentioning

confidence: 99%

P2P Coordinated Control between SPV and STATCOM in a Microgrid for Power Quality Compensation Using LSTM–Genetic Algorithm

et al. 2023

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The deployment of a static synchronous compensator within a microgrid can facilitate voltage and reactive power regulation, leading to enhanced stability and reliability. Within a microgrid setting, the effectiveness of a STATCOM in balancing the power supply is influenced by several factors, including the system configuration, the operating conditions, and the specific requirements of the power grid. The capacity, response time, and magnitude of system disturbances also play a role in determining the STATCOM’s ability to balance the power supply. To ensure the successful integration of a STATCOM within a microgrid, coordinating the control system with other distributed energy resources (DER), especially when multiple control strategies are employed, can be a challenging task. Therefore, a meticulously designed control system is indispensable to guarantee the microgrid’s efficient and effective operation. The use of GA in LSTM tuning can accelerate the process of identifying the optimal hyperparameters for a specific task, obviating the need for time-consuming and computationally expensive grid searches or manual tuning. This method can be particularly advantageous when handling large data sets and complex models. In this paper, an attempt has been made to model the STATCOM to communicate with the microgrid, tuned using LSTM–GA, for the effective calculation of real and reactive power support during grid disturbances.

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“…Various energy storage and control strategies for a hybrid system are explained in [41]. Analysis of power quality enhancement using a STATCOM is explained in [42]. The design of a hybrid system to power an irrigation system based on the geographic and climatic conditions of Sudan is explained in [43].…”

Section: Introductionmentioning

confidence: 99%

An Optimized Enhanced Phase Locked Loop Controller for a Hybrid System

et al. 2022

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The use of renewable energy sources is the need of the hour, but the highly intermittent nature of the wind and solar energies demands an efficient controller be connected with the system. This paper proposes an adept control algorithm for an isolated system connected with renewable energy sources. The system under consideration is a hybrid power system with a wind power harnessing unit associated with a solar energy module. A controller that works with enhanced phase locked loop (EPLL) algorithm is provided to maintain the quality of power at the load side and ensure that the source current is not affected during the load fluctuations. EPLL is very simple, precise, stable, and highly efficient in maintaining power quality. The double-frequency error which is the drawback of standard phase locked loop is eliminated in EPLL. Optimization techniques are used here to tune the values of the PI controller gains in the controlling algorithm. Tuning of the controller is an important process, as the gains of the controllers decide the quality of the output. The system is designed using MATLAB/SIMULINK. Codes are written in MATLAB for the optimization. Out of the three different optimization techniques applied, the salp swarm algorithm is found to give the most suitable gain values for the proposed system. Solar power generation is made more efficient by implementing maximum power point tracking. Perturb and observe is the method adopted for MPPT.

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Modeling and Analysis of STATCOM for Renewable Energy Farm to Improve Power Quality and Reactive Power Compensation

Cited by 4 publications

References 8 publications

Performance analysis of DFIG support microgrid using GA optimized restricted Boltzmann Machine algorithm

Performance analysis of DFIG support microgrid using GA optimized restricted Boltzmann Machine algorithm

P2P Coordinated Control between SPV and STATCOM in a Microgrid for Power Quality Compensation Using LSTM–Genetic Algorithm

An Optimized Enhanced Phase Locked Loop Controller for a Hybrid System

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