期刊论文

Yang, Tongguang

中文

电工技术学报

1000-6753

2015

30

11

148-157

10.19595/j.cnki.1000-6753.tces.2015.11.018

61321003:国家自然科学基金 51377050:国家自然科学基金 13A011:湖南省教育厅重点项目

本校为第一且通讯机构

在电网电压不平衡情况下,并网逆变器输出有功功率和电流将存在二次脉动和畸变。为了提高电网不平衡时并网逆变器并网电流质量,有效降低并网逆变器对电网的冲击,提出了一种基于神经网络的电网不平衡情况下并网逆变器多目标协调控制策略。该策略根据瞬时功率计算参考电流矢量,建立多控制目标的统一解析表达式,并利用ADALINE神经网络对参考电流矢量表达式系数进行优化。为了提高系统的抗干扰性能,采用增量式PI控制器进行电流控制,并利用RBF神经网络在线调整PI控制器参数。仿真和实验结果验证了所提方法的有效性和适用性。

Under unbalanced power grid voltage conditions, the fluctuating active power and current have quadratic ripples and distortions in the grid-connected inverters. In order to improve the quality of the grid-connected current, and reduce the impacts to the grid caused by the grid-connected inverter effectively, a grid-connected inverter control strategy based on the neural network is proposed. The unified analytic formula of the control target is established based on the instantaneous power and the accordingly derived output reference current. An ...