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作 者:楼冠男 蒋啸宇 顾伟[1] 张靖[1] 曹阳 李珂 LOU Guannan;JIANG Xiaoyu;GU Wei;ZHANG Jing;CAO Yang;LI Ke(School of Electrical Engineering,Southeast University,Nanjing 210096,China)
机构地区:[1]东南大学电气工程学院,江苏省南京市210096
出 处:《电力系统自动化》2023年第1期162-171,共10页Automation of Electric Power Systems
基 金:国家自然科学基金资助项目(52007031);江苏省自然科学基金资助项目(BK2020040)。
摘 要:电磁暂态仿真中,恒导纳模型因仿真效率高而被广泛应用,其衍生的参数化恒导纳模型可通过参数配置提升暂态性能,在单逆变器仿真中具有良好的效果。但参数化恒导纳模型在应用于多逆变器系统时,由于耦合,仿真参数的可行域会发生变化,进而影响系统的暂态性能甚至导致失稳。针对上述问题,从系统稳定性与暂态性能两方面出发,提出了基于快速遗传算法的参数调节策略,以收敛速度、波动大小、耦合程度的多目标对逆变器进行参数优化,并运用交叉初始化方法进行结构优化,避免了仿真系统的失稳问题并进一步改善了暂态性能。最后,通过算例验证了该多逆变器系统仿真模型在高效率的前提下,具有自适应的参数调节能力,且仿真精度优于传统恒导纳方法。The fixed-admittance model is widely used because of its high simulation efficiency in electromagnetic transient simulation. The derived parameterized fixed-admittance model can improve the transient performance through parameter configuration, and has a good effect in the single-inverter simulation. However, when the parameterized fixed-admittance model is applied to a multi-inverter system, the feasible region of the simulation parameter will change due to the coupling, which will affect the transient performance of the system and even lead to instability. Aiming at the above problem, a parameter adjustment strategy based on the fast genetic algorithm is proposed from the aspects of system stability and transient performance. The parameters of the inverters are optimized by the comprehensive objective of convergence speed, fluctuation and coupling degree, and the structure is optimized for the cross-initialization method. The instability problem of the simulation system is avoided and the transient performance is further improved. Finally, an example is given to verify that the simulation model for the multi-inverter system has the ability of adaptive parameter adjustment with high efficiency, and the simulation accuracy is better than the traditional fixed-admittance model.
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