Integrated optimal active and reactive power control scheme for grid connected permanent magnet synchronous generator wind turbines

Abstract

This research presents a novel approach for optimal active and reactive power control using permanent magnet synchronous generator with fully rated converter (PMSG-FRC). The power output variations and wind energy intermittent performance create significant challenges for power system integration, operation, and control. A fast and reliable sensorless optimal wind speed (WS) control system-based extreme learning machines and complete ensemble empirical mode decomposition with adaptive noise is developed. Also, an approximate entropy-based complexity measure is used for online WS estimation. The fuzzy controller system is used for calculating the optimal wind turbine (WT) speed, power, and torque, and then adjusts WT by the optimal speed value. Moreover, the wind farm (WF) active and reactive power controller is utilised for obtaining the active and reactive power reference values for every region/feeder. The system is applied and integrated to power system grid by using IEEE standard models, and the speed of WT is adjusted by the required active power level and the estimated WS value to increase the maximum power capture from WF. The simulations results using different cases studies and power system voltage levels have confirmed the validity and accuracy of the proposed control algorithms for practical applications and demonstrated excellent performance for power system integration.

Fault Distance Measurement in Distribution Networks Based on Markov Transition Field and Darknet-19

“…The decision has been made to implement a new phase-mode transformation matrix, which not only retains the advantages of the time-domain matrix but also achieves the objective of single-modulus response for all types of faults [23]. The original matrix is represented by Equation (2).…”

“…The distribution network plays a crucial role in the electrical grid by ensuring the safe, efficient, and reliable delivery of electricity to end users. With an increasingly complex network structure and diverse operational conditions, the system is more susceptible to faults, particularly single-phase grounding faults [1,2]. If single-phase grounding faults are not rectified for a long time, they can easily escalate into two-point or multiple-point grounding short circuits, causing damage to equipment and even posing risks to personal and property safety [3,4].…”

PMSG-Based Wind Energy Conversion Systems Integration Into DC Microgrids With a Novel Compact Converter

“…The control for each region can be implemented by using different methods [35]. MPPT in Region 2 can be implemented using various algorithms such as tip speed ratio (TSR) algorithm [36], [37], optimal torque algorithm [38], power signal feedback [39], perturb and observe algorithm [40], fuzzy-based [41], and neural network (NN)-based algorithms [42]. In this paper, the TSR algorithm is used to implement MPPT in Region 2.…”

High-resolution rotor-position detection for green vehicle drives at halt condition with statistical view

“…Gradually, environmentally-friendly electric cars, based on permanent magnet synchronous machines (PMSM), have proceeded to substitute vehicle engines which considered as a source of such pollution [1][2][3]. PMSMs have an essential role in the wide range of green industrial applications, due to their promising features such as low consumption of fuel, significant reduction in carbon dioxide (CO2) emissions, more reliable, better power-to-size ratio and more rapid speed reaction [4][5][6][7][8][9]. However, some drawbacks are also companying the use of PMSM such as it cannot be directly derived from the alternating voltage source.…”