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Dynamic voltage security constrained optimal coordinated voltage control using enhanced particle swarm optimisation

机译:使用增强型粒子群算法的动态电压安全性约束最优协调电压控制

摘要

A novel preventive control approach based on a newly enhanced particle swarm optimisation (PSO) is proposed for improving the dynamic voltage security of a power system. The proposed approach can be applied to handle both continuous and discrete control variables. The aim of the optimal coordinated preventive control is to optimise the terminal voltage, output power of each generator and the tap position of each on-load tap changer so as to keep the voltage secure along the trajectory of a quasi-steady-state time-domain simulation when credible contingency such as tripping of generation facility or transmission line occurs. The voltage performance is assessed via a heuristic integration of the voltage deviations of selected load buses and the optimal coordinated preventive control is formulated as a multi-objective non-linear optimisation problem solved by an enhanced PSO. A case study on the Nordic 32 test system shows that the proposed approach is capable of providing high-quality solutions when dealing with dynamic voltage security control problems.
机译:为了提高电力系统的动态电压安全性,提出了一种基于新的粒子群优化算法(PSO)的新型预防控制方法。所提出的方法可以应用于处理连续和离散控制变量。最佳协调预防控制的目的是优化终端电压,每个发电机的输出功率以及每个有载分接开关的分接位置,以使电压沿着准稳态时间轨迹保持稳定。当发生可靠的意外事件(例如,发电设备或输电线路跳闸)时,进行域仿真。通过对所选负载母线的电压偏差进行启发式积分来评估电压性能,并将最佳协调预防控制公式化为通过增强型PSO解决的多目标非线性优化问题。在Nordic 32测试系统上进行的案例研究表明,该方法能够在解决动态电压安全控制问题时提供高质量的解决方案。

著录项

  • 作者

    Wang YH; Chan KW; Pong TYG;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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