Integration of Wind Farm into Grid for Minimum Active Power Loss, Analytical and Simulink Model Comparison
الباحثونAhmed Al Ameri، Aouchenni Ounissa, Cristian Nichita and Aouzellag Djamal
المجلةEnergies, Vol 10, No.4, p-463,
مختصر البحثThe growth of electrical demand increases the need of renewable energy sources, such as
wind energy, to meet that need. Electrical power losses are an important factor when wind farm
location and size are selected. The capitalized cost of constant power losses during the life of a
wind farm will continue to high levels. During the operation period, a method to determine if the
losses meet the requirements of the design is significantly needed. This article presents a Simulink
simulation of wind farm integration into the grid; the aim is to achieve a better understanding of
wind variation impact on grid losses. The real power losses are set as a function of the annual
variation, considering a Weibull distribution. An analytical method has been used to select the size
and placement of a wind farm, taking into account active power loss reduction. It proposes a fast
linear model estimation to find the optimal capacity of a wind farm based on DC power flow and
graph theory. The results show that the analytical approach is capable of predicting the optimal size
and location of wind turbines. Furthermore, it revealed that the annual variation of wind speed
could have a strong effect on real power loss calculations. In addition to helping to improve utility
efficiency, the proposed method can develop specific designs to speeding up integration of wind
farms into grids.
Linear Model for Optimal Distributed Generation Size Predication
الباحثونAhmed Al Ameri ، Cristian Nichita
المجلةAdvances in Electrical and Electronic Engineering
مختصر البحثThis article presents a linear model predicting optimal size of Distributed Generation (DG) that addresses the minimum power loss. This method is based fundamentally on strong coupling between active power and voltage angle as well as between reactive power and voltage magnitudes. This paper proposes simplified method to calculate the total power losses in electrical grid for different distributed generation sizes and locations. The method has been implemented and tested on several IEEE bus test systems. The results show that the proposed method is capable of predicting approximate optimal size of DG when compared with precision calculations. The method that linearizes a complex model showed a good result, which can actually reduce processing time required. The acceptable accuracy with less time and memory required can help the grid operator to assess power system integrated within large-scale distribution generation.
Power Loss Reduction in Electrical Network using Optimized Location and Size of Multi Distributed Generators
الباحثونNichita Cristian، Al Ameri Ahmed
المجلةthe 5th International Symposium on Electrical and Electronics Engineering (ISEEE)
مختصر البحثThe location of distributed generators (DG) with different size on the power distribution systems could modify the voltage profile and impacts the level of real power losses. Faster optimization technique as well as a high computational speed of load flow are therefore required. This paper presents a linear model and an algorithm that allow to calculate the real power losses of the system. This methodology is based on the graph theory for representing the electrical network and generate the incident matrix. The Interior Point (IP) method is chosen as a local optimization method to solve problems of large-scale nonlinearity of power grid flows. The proposed approach obtains the optimal location and size of the DG units for each bus system with an important saving computational time and it has been tested with three standard IEEE bus. The results demonstrate the capability of the proposed method to reduce the active power losses with an advantageous time saving comparing to nonlinear approach based on Newton Raphson method.
Performance of Electrical Power Network with Variable Load Simulation
الباحثونAhmed Al Ameri ، Cristian Nichita
المجلةEUROSIM, Finland
مختصر البحثElectric Spring is an emerging smart grid technology, which can provide voltage support to weakly regulated system. This paper studies the effect of load variation on the performance of electric springs. Two different single phase circuits with intermittent power supply have been simulated for the study - with one electric spring and with two electric springs. The loads considered are linear and are identical. Results obtained in MATLAB/Simulink environment show that line voltage is regulated by electric spring irrespective of variation in load. A brief comparative study is done between the simulation results obtained from the two circuits to observe the effect of the additional electric spring. This study tests the effectiveness of electric springs in a circuit designed to be more realistic, i.e., when the loads are not ON all the time and multiple electric springs are distributed all over the grid.
Control of Battery Energy Storage System for Wind Turbine based on DFIG during Symmetrical Grid Fault
الباحثونT. Riouch، R. EL-Bachtiri, A. Alamery and C. Nichita
المجلةRenewable Energy & Power Quality Journal
مختصر البحثThis paper presents a control strategy of Doubly Fed Induction Generator (DFIG) based wind turbine under electrical grid disturbance. Two mains problems are faced by DFIG; fluctuating output power and Low-Voltage Ride Trough capability (LVRT). In order to smooth the output power injected in the electrical grid and to improve dynamic behavior of DFIG under symmetrical voltage dip, a control strategy of the Battery Energy Storage System (BESS) is presented. Simulations have been carried out, and the results demonstrate the effectiveness of our control.
Genetic Algorithm for Optimal Sizing and Location of Multiple Distributed Generations in Electrical Network
الباحثونAhmed Al Ameri, ، Cristian Nichita, T. Riouch and R. EL-Bachtiri
المجلةMEPS Wroclaw Poland
مختصر البحثIn this paper, a Genetic Algorithm (GA) optimization technique proposed to find optimal sizing and location of multi distributed generations in electrical networks. The objective function based on a linearised model to calculate the real power losses as a function of power generators. This method based fundamentally on a strong coupling between active power and power flow both as function voltage angles. The using of multi Distributed Generation (DG) units has been addressed to minimize the objective function (real power loss) taking into account DG capacity, transmission line capacity and voltage profile constraints. In order to demonstrate the effectiveness of the proposed method, it is applied on (14, 30 and 57) IEEE standard systems by set maximum and minimum capacity of multi DG units based on the type of renewable energy resources. Results show that the linear model combined with GA is efficient in reducing real power losses by finding the optimal location and size of DG units.