利用改进的 PSO 优化可再生能源集成电力系统中 LFC 的 PID 控制器

Yaw O. M. Sekyere, F. Effah, P. Okyere
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引用次数: 0

摘要

能源需求的持续增长和对气候变化的担忧导致可再生能源(RES)的渗透率不断提高。在大量使用这些高度可变和间歇性可再生能源的电力系统中,要保持发电和需求之间的有功功率平衡,就必须采用高效的负载频率控制(LFC)策略。其中,利用元启发式方法对 LFC 的 PID 控制器进行优化调整的策略受到了研究人员的关注。 本文提出了一种 PSO 变体,用于对集成了可再生能源的电力系统进行负载频率控制的 PID 控制器进行优化调整。提出的 PID 调节技术在文献中常用的双区电力系统上进行了测试。采用了七种情况来验证所提出的负载频率控制的有效性。为了进行更真实的评估,在其中一个场景的测试系统中加入了调速器死区和通信时间延迟。仿真结果与三种著名的 PID 调节元启发式算法的结果进行了比较,结果表明,PID 调节元启发式算法的调节时间更短,频率和连接线功率偏差更小。
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Optimal Tuning of PID Controllers for LFC in Renewable Energy Source Integrated Power Systems Using an Improved PSO
The constant rise in energy demand and concerns about climate change have led to increased penetration of renewable energy sources (RES). Maintaining active power balance between generation and demand in power systems with significant penetration of these highly variable and intermittent renewable sources requires an efficient load frequency control (LFC) strategy. One such strategy that has gained the attention of researchers is optimal tuning of PID controllers of LFC using metaheuristic method.  This paper presents a PSO variant for optimal tuning of PID controllers for load frequency control of power system integrated with renewable energy resources. The proposed PID tuning technique is tested on a two-area power system commonly used in the literature. Seven scenarios have been used to validate the effectiveness of the proposed Load Frequency Control. For more realistic evaluation, governor dead band and communication time delays have been incorporated in the test system in one of the scenarios. Simulation results obtained when compared with those of three well-known PID-tuning metaheuristic algorithms produced shorter settling time and smaller frequency and tie line power deviations.
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