Abstract
Frequency Control of Microgrid with Renewable Generation using PID Controller based Krill Herd
Highlights
Nowadays, the energy demand increases, coupled to the growth of consumption the rising of the greenhouse effect, has moved the world to the integration of Renewable energy technologies such as solar and wind system with other conventional energy sources [1]
A standard PID (Proportional Integral Derivative) controller scheme is introduced whose its parameters are determined using different optimizations algorithm such as Algorithm Genetic, Particle Swarm Optimization, and Krill Herd algorithm for minimizing frequency and power deviations, in order to enhance the operation of this system
The simulation results are shown, and given that the Krill Herd algorithm improves the performance of the system in comparison with GA and PSO based on PID
Summary
The energy demand increases, coupled to the growth of consumption the rising of the greenhouse effect, has moved the world to the integration of Renewable energy technologies such as solar and wind system with other conventional energy sources [1]. To obtain a system totally autonomous a stand-alone hybrid energy sources with storage energy systems are proposed. Both component hybrid system and strategy control are usually used to regulate the frequency and power deviation in a linear model of Microgrid. Using renewable generation sources in a hybrid system to produce electricity has been accepted as the most economical and environment-friendly method. The produced powers from the renewable sources are stochastic, intermittent and based on the climate conditions which might cause the unbalance between the power demand and the total power. On the other hand, using storage devices like the battery and flywheel is an Journal homepage: http://section.iaesonline.com/index.php/IJEEI/index
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