基于DHP自适应临界的电力系统STATCOM控制

M. Tousi, S. Hosseinian
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引用次数: 5

摘要

本文提出了一种用于STATCOM的神经控制器的设计,对传统的PI控制器进行了改进。神经控制器采用自适应批评设计(ACDs),重点是双重启发式规划(DHP)。结果表明,基于DHP的神经控制器比传统的PI控制器性能更好,特别是当系统条件和配置发生变化时。将该方法应用于一个与电力系统相连的STATCOM的数值仿真结果表明,该控制方案能够在发生较大扰动时保持负载母线电压,防止电压崩溃的发生。
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DHP Adaptive Critic based control of STATCOM in power system
This paper presents the design of a neurocontroller for a STATCOM that augments the conventional PI controller. The neurocontroller uses adaptive critic designs (ACDs) with emphasis on dual heuristic programming (DHP). Results are presented to show that the DHP based neurocontroller performs better than the conventional PI controller, especially when the system conditions and configuration changes. The numerical simulation results of using this method in one STATCOM connected to power system show that the control scheme can maintain voltage at load bus and prevent the occurrence of voltage collapse when the large disturbances occur.
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