ZHAO NAN, LI LAN, YANG QI, et al. Multi-objective Coordination Optimization Strategy for Grid-connected Inverter Based on BP Neural Network for Unbalanced Power Grid. [J]. Power capacitor & reactive power compensation, 2021, 42(2): 131-138.
ZHAO NAN, LI LAN, YANG QI, et al. Multi-objective Coordination Optimization Strategy for Grid-connected Inverter Based on BP Neural Network for Unbalanced Power Grid. [J]. Power capacitor & reactive power compensation, 2021, 42(2): 131-138. DOI: 10.14044/j.1674-1757.pcrpc.2021.02.022.
面向不平衡电网的并网逆变器基于BP神经网络的多目标协调优化策略
摘要
为了提高并网逆变器在电网电压不平衡条件下的输出电能质量
提出一种基于BP神经网络自适应调整电流指令值
实现并网逆变器多种控制目标协调的优化策略。首先
利用自适应降阶广义积分器实现电网电压正负序的准确提取
提高控制系统的鲁棒性;然后根据单控制目标计算所得的并网电流指令值
建立一个通过改变控制参数即可实现不同控制目标的电流表达式
再结合BP神经网络对电流表达式参数进行优化
实现多种控制目标之间的协调
提高输出电能质量。最后在Matlab/Simulink中进行仿真验证
仿真结果表明了所提控制策略的正确性和有效性。
Abstract
For improving the output power quality of the grid-connected inverters at unbalanced grid voltage
a kind of optimization strategy based on BP neural network with purpose of adaptively adjusting the current command value and achieving multiple control objectives and coordination of the grid-connected inverter is proposed. Firstly
the adaptive reduced-order generalized integrator is used to achieve the accurate extraction of the positive and negative sequence of the grid voltage and enhance the robustness of the control system.Then
one current expression which can achieve multiple control objectives by way of changing the parameters is set up in accordance with the grid-connect command value obtained by single control objective calculation.The current expression parameters are optimized with combination of BP neutral network so to achieve coordination between multiple control objectives and improve the output power quality. Finally
simulation verification is performed in Matlab/Simulink. Both correctness and effectiveness of the control strategy proposed are shown by the simulation result.