Whale optimisation algorithm tuned fractional order PIλDμ controller for load frequency control of multi-source power system
Whale optimisation algorithm tuned fractional order PIλDμ controller for load frequency control of multi-source power system
复制标题
鲸鱼优化算法调谐分数阶PIλDμ控制器用于多源电力系统负载频率控制
DOI：
10.1504/ijbic.2019.10021709
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Sathans Suhag
中科院分区：
文献类型：
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作者：
Amit Kumar;Sathans Suhag
针对具有时滞、发电率约束（GRC）和调速器死区（GDB）等非线性的多区域多电源电力系统的负荷频率控制（LFC），研究了分数阶PIλDμ（FOPID）控制器的设计和优化问题。鲸鱼优化算法（WOA），可以说是第一次在这方面，适用于FOPID控制器的参数的优化整定。WOA与其他最近的进化优化方法的性能进行了比较分析，从观察到，WOA优化FOPID控制器给出了最好的动态性能的建立时间和最大过冲的频率和联络线功率偏差。此外，针对± 25%范围内的系统参数变化进行的研究表明，WOA调谐FOPID控制器是最有效的，对系统参数的变化范围广的鲁棒性。
This paper deals with the design and optimisation of a fractional order PIλDμ (FOPID) controller implemented for load frequency control (LFC) of a multi-area multi-source power system having the nonlinearities of time delays, generation rate constraint (GRC) and governor dead band (GDB). Whale optimisation algorithm (WOA), arguably for the first time in this area, is applied for optimal tuning of the parameters of FOPID controller. The comparative analysis of the performance of WOA vis-a-vis other recent evolutionary optimisation approaches is carried out from which it is observed that WOA optimised FOPID controller gives the best dynamic performance in terms of settling time and maximum overshoot in frequency and tie-line power deviations. Further, investigations carried out against system parametric variations within the range of ± 25% reveal that WOA tuned FOPID controller is the most effective and robust against wide variations in system parameters.