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optimized Operation and Control of Microgrid based on Multi-objective Genetic Algorithm

机译:基于多目标遗传算法的微电网的优化操作与控制

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摘要

The steady-state performance and power quality of microgrid is closely related to control parameters. this paper develops hierarchical control of microgrid, which consists of power control stage, voltage control stage and current control stage. This control schemes can simultaneously regulate fundamental voltage and harmonic current to improve the power quality of microgrid. In order to enhance steady state control precision, unbalance and harmonics eliminate ability of microgrid, the control parameters of hierarchical control are optimized by multi-objective genetic algorithm. The simulation results show that the optimized control algorithm can effectively optimize the microgrid operation on steady control accuracy and power quality.
机译:微电网的稳态性能和功率质量与控制参数密切相关。本文开发了微电网的分层控制,由电源控制级,电压控制级和电流控制级组成。该控制方案可以同时调节基本电压和谐波电流,以提高微电网的功率质量。为了提高稳态控制精度,不平衡和谐波消除微电网的能力,通过多目标遗传算法优化了分层控制的控制参数。仿真结果表明,优化的控制算法可以有效地优化稳态控制精度和功率质量的微电网运行。

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