Optimal tuning of 3 degree-of-freedom proportional-integral-derivative controller for hybrid distributed power system using dragonfly algorithm

被引:74
作者
Guha, Dipayan [1 ]
Roy, Provas Kumar [2 ]
Banerjee, Subrate [3 ]
机构
[1] Motilal Nehru Natl Inst Technol, Dept Elect Engn, Allahabad, Uttar Pradesh, India
[2] Kalyani Govt Engn Coll, Dept Elect Engn, Kalyani, W Bengal, India
[3] Natl Inst Technol Durgapur, Dept Elect Engn, Durgapur, W Bengal, India
关键词
Hybrid energy distributed power system; Load frequency control; 3DOF-PID controller; Dragonfly algorithm; Battery energy storage system; Probability density function; LOAD-FREQUENCY CONTROL; AUTOMATIC-GENERATION CONTROL; STORAGE-SYSTEM; STABILIZATION; OPTIMIZATION;
D O I
10.1016/j.compeleceng.2018.09.003
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The objective of this paper is to study the dynamic stability of a hybrid energy distributed power system (HEDPS) subject to load and wind power variations. A three degree-of-freedom (3-DOF) proportional-integral-derivative (PID) controller is designed and implemented in the HEDPS to stabilize frequency and power fluctuations after the perturbation. For enhancing system dynamics, the parameters of the 3-DOF PID controller are optimized by using dragonfly algorithm (DA). The results are compared with the results obtained by Zeigler-Nichols tuning and some other well-known meta-heuristic algorithms. The efficacy of proposed DA over different reported algorithms is established in terms of convergence rate, minimum fitness value and dynamic performance of the system. The robustness of the 3-DOF PID-controller is ascertained with time-varying step load perturbation, random wind power perturbation, and under system parameter variation. The robust performance of proposed DA has also been established by performing statistical analysis. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:137 / 153
页数:17
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