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Active Power Optimal Damping Control Strategy for Units Based on Deep Q-Network

机译:基于深度Q网络的机组有功优化阻尼控制策略

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With the gradual establishment of UHVAC/DC hybrid power grid in China, the structure of the power grid is becoming increasingly complex and the number of interval oscillation modes is increasing. Power oscillation has become a prominent problem which troubles the safe and stable operation of the modern power grid. In most papers, the oscillation frequency, damping ratio and sensitivity of electromechanical oscillation mode are selected as the analysis basis to suppress the low-frequency oscillation of power system and improve the system stability by installing PSS (power system stabilization). In this paper, the objective function of the weakest damping ratio of interval modes is used to establish the unit output optimization model, and a method of unit output optimization based on deep Q network is proposed. Simulations on 4-unit-2-zone system and 10-unit-39-bus system in New England show that changing the output of units can significantly improve the damping ratio of the weakest oscillation mode. The feasibility and effectiveness of this method are verified by the comparison with the genetic algorithm.
机译:随着中国特高压交流/直流混合电网的逐步建立,电网结构日益复杂,间隔振荡模式的数量也越来越多。功率振荡已经成为困扰现代电网安全稳定运行的突出问题。在大多数论文中,选择机电振荡模式的振荡频率,阻尼比和灵敏度作为分析基础,以通过安装PSS(电力系统稳定)来抑制电力系统的低频振荡并提高系统稳定性。本文采用区间模式最弱阻尼比的目标函数建立机组输出优化模型,提出了一种基于深度Q网络的机组输出优化方法。在新英格兰的4单元2区系统和10单元39总线系统上的仿真表明,改变单元的输出可以显着提高最弱振荡模式的阻尼比。通过与遗传算法的比较,验证了该方法的可行性和有效性。

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