2016
DOI: 10.1016/j.swevo.2015.09.002
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Evolutionary optimization technique for comparative analysis of different classical controllers for an isolated wind–diesel hybrid power system

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Cited by 35 publications
(9 citation statements)
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“…For the above said reasons a PD controller is chosen as the inner process in our proposed controller. However, PI controller effectively diminishes the steady state error thus making itself a wise choice for outer process 8 . In our work, the controller is designed by using a cascaded PD‐PI controller.…”
Section: Proposed Fo‐fppdpi Controllermentioning
confidence: 99%
See 1 more Smart Citation
“…For the above said reasons a PD controller is chosen as the inner process in our proposed controller. However, PI controller effectively diminishes the steady state error thus making itself a wise choice for outer process 8 . In our work, the controller is designed by using a cascaded PD‐PI controller.…”
Section: Proposed Fo‐fppdpi Controllermentioning
confidence: 99%
“…There are several SOO techniques have proposed so far and many of them are widely applied in LFC problems. LFC action in a similar kind of HPS by particle swarm optimization (PSO), 4,14,15,20 genetic algorithm (GA), 9 quasi-oppositional harmony search (QOHS) technique 8,21 have reported in the literature. By combining two algorithms e.g.…”
mentioning
confidence: 99%
“…To control all of the HPS's devices below their functional limits, proper synchronization between them must be established. As a result, the HPS are controlled using various traditional controls such as Proportional (P), Proportional-Integral (PI), and Proportional-Integral-Derivative (PID), as defined in [45,48,50,67,68,74,100,102,104,109,116,117,[138][139][140][141][142][143]. Other controllers, like the H∞ controller, A Two Degree of Freedom (2DOF) PI/PID controllers, fractional-order (FO) based controllers, and double stage controller, are often included in several of the cases discussed in [129,130,[143][144][145][146][147][148][149][150][151][152][153] as listed in Table 3 below.…”
Section: Different Controllers Adopted In Hpsmentioning
confidence: 99%
“…Identifying an appropriate optimization tool for tuning of the controllers is no less important. To this end, many researchers [5,15,45,46,67,68,103,111,[137][138][139][140][141][142][143][144]148,[154][155][156][157][158][159][160] have obtained optimum performance of HPS using different intelligent techniques such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Fuzzy Logic Control, Yellow Saddle Goatfish Algorithm (YSGA), Butterfly Optimization Technique (BOA) and so on. A number of papers have been published in the past few years that focus on the application of PSO as well as Cuckoo Search (CS).…”
Section: Different Controllers Adopted In Hpsmentioning
confidence: 99%
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