考虑系统稳定边界的同步调相机励磁与升压变参数联合优化OA北大核心CSTPCD
Joint optimization of parameters of synchronous condenser excitation and step-up transformer considering the stability boundary of the power system
现有提升调相机动态无功特性的参数优化方法侧重于电磁参数的优化,这给生产企业带来较高的工艺要求和较大的成本压力.针对该问题提出考虑系统稳定约束的调相机励磁系统及升压变参数联合优化方法,分析其对电磁参数优化的可替代性.首先,推导了基于Park模型下调相机的无功频域特性,与6阶实用模型下的无功频域特性对比,基于调相机的Park模型可提升调相机动态无功特性的分析精度.然后,提出根据调相机并网系统的稳定边界确定参数的优化区间,采用频域灵敏度方法确定重点参数,并基于人工鱼群算法进行参数优化.最后,通过仿真结果表明,励磁系统与升压变参数的联合优化,可获得与仅优化电磁参数时相近的调相机动态无功性能,验证了电磁参数优化的可替代性,从而降低调相机的制造成本,扩大同步调相机的应用场合和范围.
Existing parameter optimization methods for a synchronous condenser(SC)to promote its dynamic reactive power characteristics often focus on electromagnetic parameter optimization.This brings high technical requirements and significant cost pressure to manufacturing enterprises.Thus a joint parameter optimization method for the SC excitation system and step-up transformer considering the stability boundary of the power system is proposed,and its substitutability of optimizing electromagnetic parameters is analyzed.First,the reactive power frequency domain characteristics of the SCs are derived based on the Park model.By comparing it with that of the 6th-order practical model,it is found that the Park model can enhance the accuracy of analysis of SC dynamic reactive power characteristics.Then the stability boundary of the SC grid-connected system is analyzed,based on which the parameter optimization range is determined.The frequency domain sensitivity method is applied to determine the key parameters,and the artificial fish swarm algorithm is employed for parameter optimization.Finally,simulation results demonstrate that the joint optimization of SC's excitation and step-up transformer parameters can achieve a similar dynamic reactive power performance of the SC by only optimizing the electromagnetic parameters.This validates the substitutability of electromagnetic parameter optimization,thereby reducing the manufacturing cost of the SCs,and enhancing its scope for application.
潘学萍;许一;赵天骐;王宣元;谢欢;郭金鹏
河海大学电气与动力工程学院,江苏 南京 210098国网冀北电力有限公司电力科学研究院(源网荷储灵活运行与协调控制国家电网公司实验室),北京 100045国网冀北电力有限公司电力调控中心,北京 100054
分布式调相机动态无功特性参数优化无功电流增益人工鱼群算法
distributed synchronous condenserdynamic reactive power characteristicsparameter optimizationreactive current gainartificial fish swarm algorithm
《电力系统保护与控制》 2024 (008)
45-54 / 10
This work is supported by the National Natural Science Foundation of China(No.52077061). 国家自然科学基金项目资助(52077061);国网冀北电力有限公司科技项目资助"大规模新能源汇集区域分布调相机配置原则与协调控制方法研究"(52018K22001D)
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