Improving the delivered power quality from WECS to the grid based on PMSG control model

Abstract

Renewable energy has become one of the most energy resources nowadays, especially, wind energy. It is important to implement more analysis and develop new control algorithms due to the rapid changes in the wind generators size and the power electronics development in wind energy applications. This paper proposes a grid-connected wind energy conversion system (WECS) control scheme using permanent magnet synchronous generator (PMSG). The model works to improve the delivered power quality and maximize its value. The system contained one controller on the grid side converter (GSC) and two simulation packages used to simulate this model, which were PSIM software package for simulating power circuit and power electronics converters, and MATLAB software package for simulating the controller on Simulink. It employed a meta-heuristic technique to fulfil this target effectively. Mine-blast algorithm (MBA) and harmony search optimization technique (HSO) were applied to the proposed method to get the best controller coefficient to ensure maximum power to the grid and minimize the overshoot and the steady state error for the different control signals. The comparison between the results of the MBA and the HSO showed that the MBA gave better results with the proposed system.

Power quality improvement using fuzzy logic-based compensation in a hybrid power system

“…0 is the number of FCs joined in series in the pack; 0 , normal no-load voltage; , general gas constant (×101.325 kPa/(kmol•K)); T is the absolute temperature (K); 0 , current in FC stack (A); is Faraday's constant (C/kmol); KH 2 ,KH 2 O and KO 2 are the molar constants (kmol/(101.325 kPa•s)) of the hydrogen, water, and oxygen valves, respectively; K r , modeling constant (kmol/(s•A)); 2 , 2 and 2 are the partial pressure (×101.325 kPa) of hydrogen, water and oxygen, respectively; 2 is the hydrogen input flow (kmol/s) 2 is the oxygen input flow (kmol/s); r is the FC internal resistance (Ω); 2 , 2 and 2 are the hydrogen, oxygen and water time constants (s), respectively [25]. The is evaluated from the behaviour among the rate of reactant hydrogen and the FC current, which is a constant value:…”

“…Fuzzy logic control (FLC) is treated as one of the efficient approaches [23]- [25] in soft computing methods. FLC is derived from fuzzy set theory.…”

Augmented robust T-S fuzzy control based PMSG wind turbine improved with H∞ performance

“…It will result in high dynamic performance, and high power with a wide operating [2], [3]. As is well known, the complex dynamic behavior describing wind turbine systems, suggests robust control strategies to achieve the desired performance and ensure high stability [4], [5].…”