Optimal coordinated tuning of power system stabilizers and wide‐area measurement‐based fractional‐order
            <scp>PID</scp>
            controller of large‐scale
            <scp>PV</scp>
            farms for
            <scp>LFO</scp>
            damping in smart grids

Saadatmand, Mahdi; Mozafari, Babak; Gharehpetian, Gevork B.; Soleymani, Soodabeh

doi:10.1002/2050-7038.12612

Cited by 12 publications

(13 citation statements)

References 33 publications

(105 reference statements)

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“…As shown in Equation ( 17), there are many parameters for optimal adjustment of the FOPID controller; therefore, the controller tuning is a challenging task [39][40][41][42][43][44][45][46][47][48][49]. The optimization process has been depicted in Figure 4.…”

Section: Optimization Methods Techniquementioning

confidence: 99%

“…Furthermore, J 1 , J 2 , J 3 , and J 4 demonstrate the integral squared error (ISE), integral of the time-weighted squared error (ITSE), integral absolute error (IAE), and integral time-weighted absolute error (ITAE) indices, respectively [40][41][42]60,62]. In [47][48][49], the ITAE index has been used as a non-linear objective function for time-domain simulation. Likewise, the ITSE index has been used as an objective function in [45].…”

Section: Optimization Methods Techniquementioning

confidence: 99%

“…Power System Application [32] Teaching-learning-based optimization (TLBO) AGC [36] Particle swarm optimization (PSO) PODC [37,38] Chaotic non-dominated sorting genetic algorithm-II (chaotic NSGA-II) PODC [39] Genetic algorithm (GA), ant colony optimization (ACO) PODC [40] Bat algorithm (BA) PODC [41] Cuckoo search (CS) PODC [42] Sine-cosine algorithm (SCA) PODC [43] Hybrid firefly algorithm-PSO (FAPSO) PODC [44] Chaotic yellow saddle goatfish algorithm PODC [45] Improved PSO (IPSO) PODC [46] Dolphin echolocation optimization (DEO) PODC [47] PSO PODC [48] PSO, GA PODC [49] TLBO, PSO, GA PODC [63] SCA AGC [64] Chaotic multi-objective optimization LFC [65] Atom search optimization (ASO) LFC [66] Chaotic ASO (ChASO) Controller of DC motor [67] Bacterial foraging optimization algorithm (BFOA), hybrid firefly algorithm-pattern search (hFA-PS), grey wolf optimization (GWO), GA AGC [68] Group search optimization (GSO) LFC [69] GA AGC…”

Section: Reference Optimization Algorithmmentioning

confidence: 99%

“…Additionally, in [35] the FOPID controller was used to improve the power quality. In many studies, the FOPID controller has been investigated as a PODC to mitigate LFOs by SGs [36][37][38][39][40][41][42][43][44], FACTS devices [45,46], and IBPPs [47][48][49]. Given the advantages of the FOPID controller, it is expected that these types of controllers will be used extensively for LFO damping in modern power systems.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

et al. 2021

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In recent decades, various types of control techniques have been proposed for use in power systems. Among them, the use of a proportional–integral–derivative (PID) controller is widely recognized as an effective technique. The generalized type of this controller is the fractional-order PID (FOPID) controller. This type of controller provides a wider range of stability area due to the fractional orders of integrals and derivatives. These types of controllers have been significantly considered as a new approach in power engineering that can enhance the operation and stability of power systems. This paper represents a comprehensive overview of the FOPID controller and its applications in modern power systems for enhancing low-frequency oscillation (LFO) damping. In addition, the performance of this type of controller has been evaluated in a benchmark test system. It can be a driver for the development of FOPID controller applications in modern power systems. Investigation of different pieces of research shows that FOPID controllers, as robust controllers, can play an efficient role in modern power systems.

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Section: Optimization Methods Techniquementioning

confidence: 99%

Section: Optimization Methods Techniquementioning

confidence: 99%

Section: Reference Optimization Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, it is highly robust against power system uncertainties. In recent years, the application of this type of controller in the case of automatic generation control (AGC) [31], load-frequency control (LFC) [32], and LFOs damping by synchronous generators [33], FACTS devices [34], and LPFs [35,36], has been the subject of many researches.…”

Section: Introductionmentioning

confidence: 99%

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

et al. 2021

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Due to global warming problems and increasing environmental pollution, there is a strong tendency to install and apply renewable energy power plants (REPPs) around the world. On the other hand, with the increasing development of information and communication technology (ICT) infrastructures, power systems are using these infrastructures to act as smart grids. In fact, future modern power systems should be considered as smart grids with many small and large scale REPPs. One of the main problems and challenges of the REPPs is uncertainty and fluctuation of electrical power generation. Accordingly, a suitable solution can be combination of different types of REPPs. So, the penetration rate of large-scale wind-PV farms (LWPF) is expected to increase sharply in the coming years. Given that the LWPFs are added to the grid or will replace fossil fuel power plants, they should be able to play the important roles of synchronous generators such as power low-frequency oscillation (LFO) damping. In this paper, an LFO damping system is suggested for a LWPF, based on a phasor measurement unit (PMU)-based fractionalorder proportional-integral-derivative (FOPID) controller with wide range of stability area and proper robustness to many power system uncertainties. Finally, the performance of the proposed method is evaluated under different operating conditions in a benchmark smart system.

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Optimal design of proportional integral derivative acceleration controller for higher‐order nonlinear time delay system using m‐MBOA technique

Arulvadivu

Manoharan²,

Singh³

et al. 2022

Int J Numerical Modelling

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In general, the parameter adjustment is used to design the proportional‐integral‐derivative (PID) controllers. Despite that, to enhance the capacity of control performance by adjusting parameters is limited. Therefore, in this paper, an optimal design of proportional integral derivative acceleration (PIDA) controller is proposed for higher‐order nonlinear time delay system (TDS) using modified butterfly optimization algorithm (MBOA) with the aim of achieving optimal closed‐loop response, which is enhanced with mutualism system (m‐MBOA). In the proposed approach, the mutualism stage of symbiotic organisms search (SOS) and butterfly optimization algorithm (BOA) global exploration phase is considered. The major aim of the proposed approach is to “tune the gain of the PIDA controller to get the desired response.” It reduces the drawback of the PIDA controller in the higher‐order TDS using advanced control limits is the individuality of the proposed approach. Here, the proposed approach is employed to reduce the higher‐order delays together with reliability limits, like minor overshoots, time resolution, and fixed stage deficiency. To evaluate the proposed PIDA controller, the execution is done by the MATLAB/Simulink platform, also its efficiency is compared with existing approaches. Moreover, the proposed and existing approaches are analyzed with mean, median, and standard deviations. From the analysis, the proposed approach achieves the stability with minimal delay time and reduces the computational complexity. Finally, the simulation results demonstrate that the proposed approach can efficiently with accurately find the optimal global solutions.

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Optimal coordinated tuning of power system stabilizers and wide‐area measurement‐based fractional‐order PID controller of large‐scale PV farms for LFO damping in smart grids

Cited by 12 publications

References 33 publications

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

A Survey on FOPID Controllers for LFO Damping in Power Systems Using Synchronous Generators, FACTS Devices and Inverter-Based Power Plants

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

Optimal design of proportional integral derivative acceleration controller for higher‐order nonlinear time delay system using m‐MBOA technique

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