Genetic algorithm technique on wind turbine and sensitive equipment placement against lightning

Abstract

Lightning as a natural phenomenon represents directly and indirectly a risk for wind turbines and other objects as the transient voltages may reach dangerous levels for people, equipment, and transmission lines. It is important to consider lightning and its consequences on the placement of wind turbines, buildings, and other sensitive electrical installations.The objective of this study is to optimize the placement of a wind farm for minimum lightning occurrence on the turbines. The method is also applied to optimize the location of any other sensitive installation for minimum electromagnetic interference from lightning current in any geographic area. The process involves gathering accurate lightning data information for the interested area from North American Lightning Detection Network (NALDN) over a period of time and using the genetic algorithm optimization technique using MATLAB to determine the wind farm location and other sensitive equipment placement. It is found that genetic algorithm optimization technique produced results which are very consistent considering different scenarios. The findings in this study could help wind farm designers in addition to other criteria for energy collecting efficiency of wind turbines in order to determine the best location of wind farms.Index Terms-Electromagnetic transient, lightning protection, wind turbine placement, genetic algorithm, induced voltage.

Mitigation of Lightning Hazards at the More Sensitive Points in Wind Farms Using Ant-Colony Optimization Technique

“…As a restriction, it is supposed that the wind turbines are required to be located in the inner area, from 100 to 900 in both axes. 158 change of lightning current is Gaussian distributed with mean 25 000 A/s and two standard deviations [13]. The best wind farm location is found at the site with distance from the stroke locations (876, 484).…”

Placement Optimization for Renewable Energy Sources: Ontology, Tools, and Wake Models

“…In an another study [49], GA is used to place wind turbines optimally. The uniqueness of this study is that it presents the lightning aware placement.…”

“…Lighting strikes significantly affect the performance of wind turbines by damaging their circuitry. A mechanism of lightening aware optimal deployment is proposed in [49], which solves the issue by using GA. The OF is given below:…”

Mitigation of Lightning Hazards at the More Sensitive Points in Wind Farms Using Ant-Colony Optimization Technique

“…Figure 16 and Figure 17 represent the simulation of ten random distributed strike locations in the area under study. The rate of change of lightning current is Gaussian distributed with mean 25 000 A/s and two standard deviations [13]. The best wind farm location is found at the site with distance from the stroke locations (876, 484).…”