电力系统保护与控制2024，Vol.52Issue(16)：97-109,13.DOI:10.19783/j.cnki.pspc.231653
基于牛顿-蚁群算法与选择性谐波调制的电网功率放大器宽频控制策略
A control strategy for grid power amplifier broadband based on Newton-Raphson ant colony algorithm and selective harmonic modulation
摘要
Abstract
Selective harmonic elimination/generation pulse width modulation technology can be combined with multilevel converters to achieve high-frequency grid harmonic power recurrence at a lower switching frequency.To generate a specific harmonic,it needs to solve nonlinear switching angle equations.However,the accuracy of the solutions is constrained by the initial value selection of switching angle.Also,the real-time performance is reduced with the increase of harmonic orders.Therefore,this paper proposes a selective harmonic generation pulse width modulation method based on the Newton-Raphson-ant-colony algorithm.First,it builds switching angle equations,utilizes ant-colony algorithm to calculate the initial values,and further combines the Newton-Raphson algorithm to get the maximum number of harmonics corresponding to different switching frequency and calculation time-step duration.The corresponding relation between modulation ratio and switching angle is analyzed and obtained.Then,by looking up the table to obtain the switching angle and feed-forward it to the voltage control loop,the non-static error tracking of specific harmonics is realized.Finally,taking H-bridge based cascaded multilevel converter as an example,the simulation and experiment platform is built.The correctness of the theoretical analysis and the feasibility of the proposed strategy are verified.关键词
选择性电网谐波功率放大器/级联多电平逆变器/牛顿-蚁群算法/实时选择性谐波生成脉宽调制Key words
selective grid harmonics power amplifier/cascaded multilevel inverter/Newton Raphson-ant colony algorithm/real-time selective harmonic generation pulse width modulation引用本文复制引用
代子阔,史可鉴,赵晨星,张天成,徐妍,汪诚..基于牛顿-蚁群算法与选择性谐波调制的电网功率放大器宽频控制策略[J].电力系统保护与控制,2024,52(16):97-109,13.基金项目
This work is supported by the Natural Science Foundation of Jiangsu Province(No.BK20190461). 江苏省自然科学基金项目资助(BK20190461) （No.BK20190461）
国网辽宁省电力有限公司科技项目资助(2021YF-63) （2021YF-63）
