A second-order sliding mode and fuzzy logic control to optimal energy management in wind turbine with battery storage

Abbes

Int Trans Electr Energ Syst

et al. 2020

Summary This article is interested in a controlled three‐phased voltage source inverter (VSI) for a grid‐connected wind power generator. The objective consists of participating in auxiliary services by enhancing the grid stability. An active wind generator associated with a battery/super‐capacitor storage system composes the studied renewable generator. It is related to a power consumer (load) to form a microgrid (MG) that can work according to grid stability in two modes: standalone and grid‐tied. Thus, the principal objective of this study is to develop a robust control method for MG connection with the grid to ensure the grid voltage and frequency regulation. This control has two control tasks: First, an adaptive droop control is implemented to adjust power flows exchanged with the grid to ensure its stability. It regulates its voltage and frequency. Second, a sliding mode control (SMC) with super‐twisting algorithm is put forward for the VSI to improve the regulation of the grid voltage and frequency under uncertainties. It improves control results concerning the reduction of harmonics caused by sudden variations of the load and of powers exchanged with the grid. It allows preventing the phenomenon of chattering created by classical sliding mode technique. Extensive simulation studies are carried out under MATLAB/Simulink. They prove the effectiveness of the suggested droop and SMCs compared with the classical proportional‐integral controller.

“…To guarantee the convergence to zero of the sliding‐manifold in a finite time, the positive gains α 3 , α 4 , λ 3 , and λ 4 may be selected as follows:

({, \begin{array}{l} (||, \overset{•}{f_{3}}) \leq ϕ_{3}; α_{3} > L_{f} ϕ_{3}; λ_{3}^{2} \geq \frac{4 L_{f}^{2} ϕ_{3} ((), α_{3} + ϕ_{3})}{α_{3} - ϕ_{3}} \\ (||, \overset{•}{f_{4}}) \leq ϕ_{4}; α_{4} > L_{f} ϕ_{4}; λ_{4}^{2} \geq \frac{4 L_{f}^{2} ϕ_{4} ((), α_{4} + ϕ_{4})}{α_{4} - ϕ_{4}} \end{array})

…”

Section: Proposed Control Design For Vsi Systemmentioning

confidence: 99%

STA and SOSM control‐based approach of a renewable power generator for adjusting grid frequency and voltage

Abbes

Int Trans Electr Energ Syst

et al. 2020

“…Furthermore, combining SC, non-conventional and novel data representation techniques is a possible way to overcome this difficulty [37][38][39][40]. Over the last decades, the benefits of SC techniques have been widely recognized and have brought several new solutions in the design and control of electrical machines [41,42]. However, there is a gap in the effectiveness of the SC models [43,44].…”

Section: Introductionmentioning

confidence: 99%

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

et al. 2019

Rotating electrical machines are electromechanical energy converters with a fundamental impact on the production and conversion of energy. Novelty and advancement in the control and high-performance design of these machines are of interest in energy management. Soft computing methods are known as the essential tools that significantly improve the performance of rotating electrical machines in both aspects of control and design. From this perspective, a wide range of energy conversion systems such as generators, high-performance electric engines, and electric vehicles, are highly reliant on the advancement of soft computing techniques used in rotating electrical machines. This article presents the-state-of-the-art of soft computing techniques and their applications, which have greatly influenced the progression of this significant realm of energy. Through a novel taxonomy of systems and applications, the most critical advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines.

“…In [11,12] batteries are used with wind energy to improve response and stability. In [13] batteries are used with wind energy using fuzzy logic control. In [14,15] batteries are used as ESS with a Wind/Photovoltaics hybrid system to compensate lack of energy is the good method to relinquish the uncertainty of the two renewable sources.…”

Section: Introductionmentioning

confidence: 99%

Stability improvement of 200 MW Gabal El-Zayt wind farm connected to electrical grid using supercapacitor and static synchronous compensator during extreme gust

2019

This paper proposes constant active and reactive power control of a wind farm during gust using the supercapacitor (SC) and static synchronous compensator (STATCOM). The proposed technique is applied to Gabal El-Zayt wind farm which located in Red Sea region of Egypt with a capacity of 200 MW and equipped with doubly fed induction generators (DFIGs) and analyzed during gust wind. As the nature of wind is varying all time, the output power is changing continuously so energy storage system such as SC is required. SC is responsible for maintaining constant output active power by charging when there is excess in the output power of DFIG and discharging when there is a lack in the output power of DFIG. Reactive power compensation is achieved by connecting STATCOM to the power system. SC keeps reactive power constant however its value is improved by connecting STATCOM. Wind farm model is analyzed during gust with the proposed technique while active and reactive power performance is investigated. Firstly, the effect of connecting SC to each wind turbine is studied. Then the effect of connecting STATCOM to the electric power system is studied. Also, the effect of connecting SCs and STATCOM is studied. Finally, the impact of connecting additional STATCOM at different locations is investigated. Results show the proposed technique validity.