Wind Turbine Placement in a Wind Farm Using a Viral Based Optimization Algorithm
نویسندگان
چکیده
In the present research, the Wind Turbine placement problem for renewable energy utilization is solved using a viral systems optimization algorithm which finds the optimum configuration of wind turbines within a wind farm considering uniform wind-speed, and unidirectional wind. The problem is solved using a single type of turbine and constraining the available space to a flat scenario with a square shape with side of size equal to 50 rotor diameters corresponding to the utilized wind turbines. The impact of the wind wake is also considered in the performance of the wind turbines reducing the production of electricity when the wind passes through a wind turbine of the same wind farm. The objective of the viralbased algorithm is to find the best configuration of wind turbines which minimizes the cost of the electricity produced.
منابع مشابه
A New Optimization Algorithm for Optimal Wind Turbine Location Problem in Constantine City Electric Distribution Network Based Active Power Loss Reduction
The wind turbine has grown out to be one of the most common Renewable Energy Sources (RES) around the world in recent years. This study was intended to position the Wind Turbine (WT) on a wind farm to achieve the highest performance possible in Electric Distribution Network (EDN). In this paper a new optimization algorithm namely Salp Swarm Algorithm (SSA) is applied to solve the problem of opt...
متن کاملتعیین آرایش بهینه توربین ها برای مزرعه بادی در منطقه میل نادر
Nowadays, optimal placement of wind turbines in a wind farm is one of the major concerns of the wind farm designers. This paper concentrates on the optimal placement of wind turbines in a wind farm. The optimal placement of wind turbines has been carried out to maximize the output energy and minimize the investment cost of cable, road and wind turbines. For this purpose, Firstly, it should be d...
متن کاملAerodynamic optimal design of wind turbine blades using genetic algorithm
Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an...
متن کاملIdentification of Wind Turbine using Fractional Order Dynamic Neural Network and Optimization Algorithm
In this paper, an efficient technique is presented to identify a 2500 KW wind turbine operating in Kahak wind farm, Qazvin province, Iran. This complicated system dealing with wind behavior is identified by using a proposed fractional order dynamic neural network (FODNN) optimized with evolutionary computation. In the proposed method, some parameters of FODNN are unknown during the process of i...
متن کاملAerodynamic Optimal Design of Wind Turbine Blades using Genetic Algorithm
Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an obj...
متن کامل