基于遗传算法的分布式发电系统无功优化控制策略研究

Research on the Reactive Power Control of Grid-connected Inverter of Distributed Generation System based on Genetic Algorithm

研究了含有多个分布式发电系统的配电网无功优化问题。根据旋转坐标系下并网逆变器的数学模型,通过对并网逆变器的输出电压在d、q轴分量的解耦,实现对有功、无功的独立调节。建立的基于遗传算法的分布式发电系统无功优化控制模型,充分考虑了网损最小和节点电压的约束,对并网逆变器的无功功率给定进行了优化。仿真实验表明,所提出的方法可行,具有较强的收敛性和快速性,对于减少网络的功率损耗和提高电压质量有一定的作用。

This paper presents a centralized reactive control scheme of grid-connected inverter of distributed generation system. The power electronics interface performs the optimal operation to extract the maximum active power, while it also plays a key role in reactive compensation systems. The active and reactive power decoupled control is researched first. For the minimum network loss, genetic algorithm is used in reactive power optimization problem. Two simulation results show that the method proposed is effective in reducing power losses while improving the voltage profiles.