Probabilistic Robust Damping Controller Optimization for Mitigating Subsynchronous Control Interaction in DFIG and PMSG‐Based Wind Farms DOI
Sampath Kumar Bodapatla,

Sagar Ghodake,

Prakash Kadam

et al.

Optimal Control Applications and Methods, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 8, 2024

ABSTRACT Advanced control and mitigation solutions are required due to the enormous challenges posed by sub‐synchronous interaction in wind farms. These concerns include system instability, potential damage turbines, grid stability issues. This research presents probabilistic robust damping controller, an adaptive approach, address issues grid‐connected The innovation employs balanced remora optimization algorithm optimize controller parameters, ensuring under various conditions. For permanent magnet synchronous generator‐based farms with weak circumstances, critical elements such as DC‐link voltage, d‐q axis current reference, actual values grid‐side converter essential for problem mitigation. generates controlled output using these input signals. MATLAB‐based implementation demonstrates effectiveness within a series‐compensated doubly fed induction generator. Comparative analysis conventional controllers different conditions disturbances validates its superior performance. Time‐domain simulations, both without time delay, further confirm controller's ability enhance dampen Four schemes used evaluate farms: speed at 13 m/s 75% series compensation, 7 9 45% 60% compensation. Under short circuit ratio, based on generators analyzed three scenarios: normal, strong, cases.

Language: Английский

An interleaved converter topology and optimized controller for electric vehicle drive utilizing solar photovoltaic system DOI

S Sudhahar,

Ravivarman Shanmugasundaram,

Rajneesh Kumar

et al.

Electrical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: July 20, 2024

Language: Английский

Citations

1
Optimal Placement and Sizing of Modular Series Static Synchronous Compensators (M-SSSCs) for Enhanced Transmission Line Loadability, Loss Reduction, and Stability Improvement DOI Open Access

Cristian Urrea-Aguirre,

Sergio D. Saldarriaga-Zuluaga, Santiago Bustamante-Mesa

et al.

Processes, Journal Year: 2024, Volume and Issue: 13(1), P. 34 - 34

Published: Dec. 27, 2024

This paper addresses the optimal placement and sizing of Modular Static Synchronous Series Compensators (M-SSSCs) to enhance power system performance. The proposed methodology optimizes four key objectives: reducing transmission line loadability, minimizing losses, mitigating voltage deviations, enhancing stability using L-index. is validated on two systems: IEEE 14-bus test network a sub-area Colombian grid, characterized by aging infrastructure operational challenges. optimization process employs three metaheuristic algorithms—Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Teaching–Learning-Based (TLBO)—to identify configurations. System performance analyzed under both normal operating conditions contingency scenarios (N − 1). results demonstrate that M-SSSC deployment significantly reduces congestion, enhances stability, improves overall efficiency. Furthermore, this work highlights practical application in modernizing real-world grids, aligning with sustainable energy transition goals. study identifies configurations alternatives for systems. Specifically, sub-area, most suitable solutions involve installing devices capacitive mode Termocol–Guajira Santa Marta–Guajira 220 kV lines.

Language: Английский

Citations

1
Improved binary quantum-based Elk Herd optimizer for optimal location and sizing of hybrid system in micro grid with electric vehicle charging station DOI

G. Muralikrishnan,

K. Preetha,

S. Selvakumaran

et al.

Journal of Renewable and Sustainable Energy, Journal Year: 2024, Volume and Issue: 16(6)

Published: Nov. 1, 2024

In recent times, there has been increasing interest in renewable power generation and electric vehicles within the domain of smart grids. The integration with hybrid systems presents several critical challenges, including increased loss, quality issues, voltage deviations. To tackle these researchers have proposed various techniques. Effective management energy is essential for maximizing benefits integrating a system microgrid at an vehicle charging station. This research specifically aims to optimize location sizing such microgrid. Additionally, improved binary quantum-based Elk Herd optimizer approach proposed. addresses optimally managing sources load uncertainty. also considers stochastic nature operational restrictions, encompassing diverse control modes. technique performance implemented MATLAB platform compared against existing approaches. analysis demonstrates effectiveness achieving optimal contributes minimizing electricity costs, average waiting time. Furthermore, reduces computing time, net present cost, emissions are 12.5 s, 1.1×106 dollar, 2.21×108 g year−1, respectively.

Language: Английский

Citations

0
Integrated control strategy for bus voltage stability and power sharing in hybrid microgrid with renewable energy integration DOI

Bhavesh Ramnikbhai Hindocha,

Chetan Sheth

International Journal of Dynamics and Control, Journal Year: 2024, Volume and Issue: 13(1)

Published: Nov. 19, 2024

Language: Английский

Citations

0
Probabilistic Robust Damping Controller Optimization for Mitigating Subsynchronous Control Interaction in DFIG and PMSG‐Based Wind Farms DOI
Sampath Kumar Bodapatla,

Sagar Ghodake,

Prakash Kadam

et al.

Optimal Control Applications and Methods, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 8, 2024

ABSTRACT Advanced control and mitigation solutions are required due to the enormous challenges posed by sub‐synchronous interaction in wind farms. These concerns include system instability, potential damage turbines, grid stability issues. This research presents probabilistic robust damping controller, an adaptive approach, address issues grid‐connected The innovation employs balanced remora optimization algorithm optimize controller parameters, ensuring under various conditions. For permanent magnet synchronous generator‐based farms with weak circumstances, critical elements such as DC‐link voltage, d‐q axis current reference, actual values grid‐side converter essential for problem mitigation. generates controlled output using these input signals. MATLAB‐based implementation demonstrates effectiveness within a series‐compensated doubly fed induction generator. Comparative analysis conventional controllers different conditions disturbances validates its superior performance. Time‐domain simulations, both without time delay, further confirm controller's ability enhance dampen Four schemes used evaluate farms: speed at 13 m/s 75% series compensation, 7 9 45% 60% compensation. Under short circuit ratio, based on generators analyzed three scenarios: normal, strong, cases.

Language: Английский

Citations

0