Optimal tuning of PI controller using genetic algorithm for wind turbine application

Abstract

Nowadays, wind turbine energy has an increased importance in electrical power applications since when it is considered as an essential inexhaustible and broadly available energy resource. An aerogenerator is a device that transforms a part of the kinetic energy of the wind into available mechanical energy on a transmission shaft, and then into electrical energy through a generator, which is in our case a dual power asynchronous machine. An important characteristic of a wind turbine is that the avail, able maximum power is provided only in a single given operating point, called Maximum Power Point. Many classical methods and controllers have been widely developed and implemented to track the maximum power point. Among drawbacks of a classical PI controller is that its parameters are not constant, these conventional control laws may be are insufficient because they are not robust, especially when the accuracy requirements and other dynamic characteristics of the system are strict. The new idea in this paper is to introduce the Genetic Algorithms theory into the controlstrategy that used inthe conversion chain of the wind turbine, in order to improve stability. Simulation results approve that the application of Genetic Algorithms to the PI regulator, minimize or eliminate the drawbacks of the classical PI regulator, and greatly promote the efficiency and stability of the wind turbine systems.

Design of Savonius model wind turbine for power catchment

“…The small wind turbine model parameter was declared with specifications and functions in addition to the explanation of the Arduino program. The first main problem is an energy crisis [30], [31], huge deficiency of electricity has become more critical to socio-economic development due to heavy reliance on imported fuels, then objective of this project is to develop small Savonius wind turbine to capture wind energy most easily and practice the usage of renewable energy from the location is also known to change with varying wind speeds and IoT systems now combine with a micro wind turbine for the ability to optimize performance [32]. The research aims to establish three wind turbine blades to predict wind turbine power output at different wind speeds and analyze the wind characterization at campus UniCITI performance by using ESP 8266 and monitoring through Blynk as an IoT platform.…”

A secure communication protocol for civil drones

“…Generally, a GA consists of three basic operations. Selection, crossover and mutation [18]- [21]. Cipher block chaining (CBC) is a type of operation for a block cipher.…”

Optimization Using a Genetic Algorithm Based on DFIG Power Supply for the Electrical Grid

“…For this type of crossing, we choose exchange positions randomly, then arithmetic means weighted by a coefficient a. When this operation is applied to two parents 𝐶1 (𝑖) and 𝐶2 (𝑖), two children (offspring) 𝐸1 (𝑖) and 𝐸2 (𝑖) are generated, such as [18]: (6) In the case of a uniform arithmetic crossing, the value of a is a constant chosen by the user, on the other hand, if the value of a is generated randomly in the interval of [-0.5; 1.5], then we are in the case of a non-uniform arithmetic crossing. The following figure illustrates an example of the application of this type of crossing [19]: According to this figure, the two new third genes were born by: (7) Figure 6.…”

“…Under these conditions, the solution can converge towards local solutions [6]. While stochastic methods are more efficient and effective methods, they use stochastic processes based on stochastic exploration of the space of possible solutions [7].…”