2021
DOI: 10.1186/s41601-021-00185-z
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Impact of communication time delays on combined LFC and AVR of a multi-area hybrid system with IPFC-RFBs coordinated control strategy

Abstract: In this paper, the impact of communication time delays (CTDs) on combined load frequency control (LFC) and automatic voltage regulation (AVR) of a multi-area system with hybrid generation units is addressed. Investigation reveals that CTDs have significant effect on system performance. A classical PID controller is employed as a secondary regulator and its parametric gains are optimized with a differential evolution - artificial electric field algorithm (DE-AEFA). The superior performance of the presented algo… Show more

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Cited by 64 publications
(17 citation statements)
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“…In addition, the proposed system incorporates redox flow batteries (RFBs) and interline power flow controllers (IPFC) with tie‐lines. Previous analysis shows that the coordinated management of the IPFC and RFBs improves dynamic system performance [71]. An IsPFC is a FACTS series compensation converter that can control power flow across multiple lines on the same transmission line tract.…”
Section: Experiments and Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, the proposed system incorporates redox flow batteries (RFBs) and interline power flow controllers (IPFC) with tie‐lines. Previous analysis shows that the coordinated management of the IPFC and RFBs improves dynamic system performance [71]. An IsPFC is a FACTS series compensation converter that can control power flow across multiple lines on the same transmission line tract.…”
Section: Experiments and Resultsmentioning
confidence: 99%
“…The details of all the parameters are presented in the Appendix. For comprehensive detailed equations, readers are suggested to consult [2,[71][72][73].…”
Section: Application To Load Frequency Control Systemmentioning
confidence: 99%
“…Parameter extraction methods using neural network are mainly aimed to make use of artificial neural network and its derivatives to improve the performance of PEMFC parameter extraction (Kalyan and Rao, 2021). The following outstanding advantages of ANN have attracted great attention in recent years: 1) It can be perfectly close to a complex non-linear relationship; 2) all qualitative information is stored in each neuron in the network, which has strong robustness and fault tolerance; 3) parallel distributed processing methods can quickly perform many operations; 4) can learn and adapt to uncertain systems; and 5) can handle both quantitative and qualitative knowledge.…”
Section: Parameter Extraction Based On Neural Networkmentioning
confidence: 99%
“…Increasing global energy demand (Zhang et al, 2016;Shen et al, 2019), exhausted fossil fuel resources (Wei Yao et al, 2015;Yang et al, 2015), and deteriorating ecological environment have threatened the healthy development (Liu et al, 2016;Kalyan and Rao, 2021;Noman et al, 2021) of the world. Hence, numerous clean production technologies (Zhang et al, 2015;Bakeer et al, 2021;Iqbal et al, 2021) are conceived as candidates to alleviate energy depletion (Chen et al, 2019;Wang et al, 2020;Dzobo et al, 2021).…”
Section: Introductionmentioning
confidence: 99%