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Optimal P-Q Control of Grid-Connected Inverters in a Microgrid Based on Adaptive Population Extremal Optimization
- Source :
- Energies; Volume 11; Issue 8; Pages: 2107, Energies, Vol 11, Iss 8, p 2107 (2018)
- Publication Year :
- 2018
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2018.
-
Abstract
- The optimal P-Q control issue of the active and reactive power for a microgrid in the grid-connected mode has attracted increasing interests recently. In this paper, an optimal active and reactive power control is developed for a three-phase grid-connected inverter in a microgrid by using an adaptive population-based extremal optimization algorithm (APEO). Firstly, the optimal P-Q control issue of grid-connected inverters in a microgrid is formulated as a constrained optimization problem, where six parameters of three decoupled PI controllers are real-coded as the decision variables, and the integral time absolute error (ITAE) between the output and referenced active power and the ITAE between the output and referenced reactive power are weighted as the objective function. Then, an effective and efficient APEO algorithm with an adaptive mutation operation is proposed for solving this constrained optimization problem. The simulation and experiments for a 3kW three-phase grid-connected inverter under both nominal and variable reference active power values have shown that the proposed APEO-based P-Q control method outperforms the traditional Z-N empirical method, the adaptive genetic algorithm-based, and particle swarm optimization-based P-Q control methods.
- Subjects :
- Extremal optimization
Control and Optimization
Computer science
020209 energy
Population
Evolutionary algorithm
Energy Engineering and Power Technology
02 engineering and technology
lcsh:Technology
extremal optimization
Approximation error
Control theory
0202 electrical engineering, electronic engineering, information engineering
grid-connected inverter
Electrical and Electronic Engineering
evolutionary algorithms
education
Engineering (miscellaneous)
education.field_of_study
Renewable Energy, Sustainability and the Environment
lcsh:T
power control
design optimization
020208 electrical & electronic engineering
Particle swarm optimization
AC power
Inverter
Microgrid
Energy (miscellaneous)
Power control
Subjects
Details
- Language :
- English
- ISSN :
- 19961073
- Database :
- OpenAIRE
- Journal :
- Energies; Volume 11; Issue 8; Pages: 2107
- Accession number :
- edsair.doi.dedup.....0d2c9035a45e18d3896ed1646f434854
- Full Text :
- https://doi.org/10.3390/en11082107