Contribution of GCSC to regulate the frequency in multi-area power systems considering time delays: A new control outline based on fractional order controllers

Oshnoei, Soroush; Oshnoei, Arman; Mosallanejad, Ali; Haghjoo, Farhad

doi:10.1016/j.ijepes.2020.106197

Cited by 49 publications

(17 citation statements)

References 25 publications

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“…where a and t show the operating limits, and α denotes the order of integration. There are manners such as Riemann-Liouville (R-L), Grünwald-Letnikov (G-L), Riesz, and Caputo in the literature to definite the fractional calculus process, of which the R-L definition is more common than the others [27,32,33]. The R-L definition can be found in [27,32,33].…”

Section: Design Of the Fractional-order Cascade Controllermentioning

confidence: 99%

Provision of Frequency Stability of an Islanded Microgrid Using a Novel Virtual Inertia Control and a Fractional Order Cascade Controller

et al. 2021

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Nowadays, the renewable energy sources in microgrids (MGs) have high participation to supply the consumer’s demand. In such MGs, the problems such as the system frequency stability, inertia, and damping reduction are threatened. To overcome this challenge, employing the virtual inertia control (VIC) concept in the MG structure could be considered as a viable solution to improve the system frequency response. Hence, this work proposes a novel modeling for VIC in an islanded MG that provides simultaneous emulation of the primary frequency control, virtual inertia, and damping. To show the efficiency of the proposed technique, a comparison is made between the dynamic performance of the proposed VIC and conventional VIC under different scenarios. The results indicate that the proposed VIC presents superior frequency performance in comparison with conventional VIC. In addition to VIC modeling, a new cascade controller based on three-degrees of freedom and fractional-order controllers (FOCs) is proposed as an MG secondary controller. The effectiveness of the proposed controller is compared to tilt-integral-derivative and FO proportional-integral-derivative controllers. The Squirrel search algorithm is utilized to obtain the optimal coefficients of the controllers. The results demonstrate that the proposed controller improves the MG frequency performance over other controllers. Eventually, the sensitivity analysis is performed to investigate the robustness of the proposed controller in the face of the variations of the parameters.

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Section: Design Of the Fractional-order Cascade Controllermentioning

confidence: 99%

Provision of Frequency Stability of an Islanded Microgrid Using a Novel Virtual Inertia Control and a Fractional Order Cascade Controller

et al. 2021

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“…However, the primary control loop is not sufficient for controlling and overcoming the power system fluctuations. The second loop is based on the secondary control loop, which contributes mainly in handling frequency variations and the fluctuations in tie-line power among the different system areas [4], [5]. Different energy storage devices (ESDs) can participate in improving power systems performance.…”

Section: Introduction a Generalmentioning

confidence: 99%

Frequency Regulation of Electric Vehicle-Penetrated Power System Using MPA-Tuned New Combined Fractional Order Controllers

et al. 2021

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Energy transition from traditional generation sources into new renewable energy generation has become essential for facing climate changes. However, increased penetration levels of renewable energy sources (RESs) make power systems subjected to low inertia problems. Moreover, the continuously growing numbers of electric vehicles (EVs) have made the substantial need for their contribution in power systems. Therefore, this paper proposes a combined fractional-order controller using the parallel combination of tiltintegral-derivative with filter (TIDF) and hybrid fractional-order (HybFO) controllers for robust frequency regulation in interconnected power systems. The proposed controller is advantageous in combining the merits of two fractional-order controllers that result in more robust and effective load frequency control (LFC) at wide range and different types of disturbances. Furthermore, a new application of marine predator optimization algorithm (MPA) is proposed for simultaneously determining the optimum controller parameters in the different power system areas. The existing EVs contribute in performing additional functionality in power systems. EVs help in damping out the frequency and tie-line power oscillations in the proposed work. The two-area interconnected power system is selected as a case study with the installed photovoltaic (PV), and wind generations in addition to distributed EVs among areas. The obtained results show the superiority and suitability of the proposed controller over the traditional controllers in the literature. Additionally, the effectiveness of the MPA is validated and compared with recent meta-heuristic optimization algorithms.INDEX TERMS Electric vehicles (EVs), interconnected power systems, load frequency control (LFC), marine predator optimization algorithm (MPA), renewable energy sources (RESs).

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“…The presence of extra two tuning parameters, such as the non‐integer power of integrator ( β ) and differentiator ( λ ), makes the fractional‐order based controllers (FOC) flexible and robust 30 . The mastery of FOC in LFC of power systems has been demonstrated over IOC in References 30 and 36–41. A new variant of the PID controller, namely the tilt‐integral derivative (TID) controller, with non‐integer power in proportional gain

((),, ie, k_{p} s^{- \frac{1}{n}} ((), ∵ n \neq 0))

, is introduced by Lurie 42 .…”

Section: Introductionmentioning

confidence: 99%

Equilibrium optimizer‐tuned cascade fractional‐order 3DOF‐PID controller in load frequency control of power system having renewable energy resource integrated

Guha

Roy

Banerjee

2020

Int Trans Electr Energ Syst

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Contribution of GCSC to regulate the frequency in multi-area power systems considering time delays: A new control outline based on fractional order controllers

Cited by 49 publications

References 25 publications

Provision of Frequency Stability of an Islanded Microgrid Using a Novel Virtual Inertia Control and a Fractional Order Cascade Controller

Provision of Frequency Stability of an Islanded Microgrid Using a Novel Virtual Inertia Control and a Fractional Order Cascade Controller

Frequency Regulation of Electric Vehicle-Penetrated Power System Using MPA-Tuned New Combined Fractional Order Controllers

Equilibrium optimizer‐tuned cascade fractional‐order 3DOF‐PID controller in load frequency control of power system having renewable energy resource integrated

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