A novel fuzzy tuned multistage PID approach for frequency dynamics control in an islanded microgrid

Annamraju, Anil; Nandiraju, Srikanth

doi:10.1002/2050-7038.12674

Cited by 24 publications

(15 citation statements)

References 37 publications

(79 reference statements)

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“…As the responses to the frequency deviation are relatively slow, low‐order linearized models can be used to simulate the frequency response model. The general power imbalance between the generated power and the load demand causes frequency deviation 27,28 . This mismatch and frequency deviation relationship can be presented by considering the rotating mass inertia of the generators in the grid using the swing equations:

normalΔ P_{m} ((), t) - normalΔ P_{L} ((), t) + normalΔ P_{w} = 2 H \frac{d normalΔ f ((), t)}{dt} + D normalΔ f ((), t),

where ΔP m and ΔP L are the change in the mechanical and load power, respectively; ΔP w is the output power of the wind power plants; Δf is the grid frequency deviation; H and D are the rotating inertia constant and the load‐damping coefficient of the power system.…”

Section: Wind Penetrated Two‐area Power System Modelmentioning

confidence: 99%

Improving frequency regulation of wind‐integrated multi‐area systems using LFA‐fuzzy PID control

Kheshti

Ding

Abyaneh

et al. 2021

Int Trans Electr Energ Syst

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Summary Due to the complexity and importance of the electricity grid stability, sophisticated control systems and computational approaches are essentially required to solve dynamical system frequency problems in multi‐area systems. Participation of wind turbines in power system frequency control in the form of stepwise inertial control in the presence of a proposed adequately tuned fuzzy‐PID load‐frequency control is investigated in this paper. A two‐area power system is studied in which it is linked through tie‐line and equipped with fuzzy‐PID control systems. To increase the energy transition and flexibility of the entire system against frequency events and parameters uncertainties, the fuzzy‐PID controllers are first tuned using lightning flash algorithm (LFA). The tuned controllers are then used in each area to optimally counterbalance the frequency deviations and the tie‐line power of the interconnected areas against varying load disturbances, wind power fluctuations, and to keep the renewable integrated system in a stable state. The sensitivity analysis is also conducted with a wide range of system parameter variations, uncertainties, and disturbances. Furthermore, the LFA‐tuned fuzzy‐PID load‐frequency control is also tested in a two‐area isolated microgrid, comprising wind turbine, PV panels, fuel cells, micro‐turbine, and diesel engine generator. The results obtained using the proposed approach are compared with other state‐of‐the‐arts algorithms and control systems in the literature. The compared results show the efficiency and robustness of the proposed optimization‐based controller for better frequency control in multi‐area power systems and isolated microgrids. The results also demonstrate that a finely tuned automatic generation controller gives a significant boost to grid frequency control when wind turbines participate in the inertial control, suggesting migration from conventional PID‐based automatic generation control to more adaptive control approaches.

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normalΔ P_{m} ((), t) - normalΔ P_{L} ((), t) + normalΔ P_{w} = 2 H \frac{d normalΔ f ((), t)}{dt} + D normalΔ f ((), t),

Section: Wind Penetrated Two‐area Power System Modelmentioning

confidence: 99%

Improving frequency regulation of wind‐integrated multi‐area systems using LFA‐fuzzy PID control

Kheshti

Ding

Abyaneh

et al. 2021

Int Trans Electr Energ Syst

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“…Pradeep et al 28 designed and analysed a fuzzy‐PID controller for the LFC system. Anil 29 proposed a fuzzy tuned multilevel PID controller in microgrid for dynamic frequency control. Results from Annamraju and Nandiraju 29 show the effectiveness of FLC based Multistage controller and its better response than classical PID controller.…”

Section: Introductionmentioning

confidence: 99%

“…Anil 29 proposed a fuzzy tuned multilevel PID controller in microgrid for dynamic frequency control. Results from Annamraju and Nandiraju 29 show the effectiveness of FLC based Multistage controller and its better response than classical PID controller. A performance driven approach for MIMO with the fuzzy PID controller for gain tuning observation gives the relevance and optimal control system depending on mamdani type fuzzy controller 30 .…”

Section: Introductionmentioning

confidence: 99%

Load frequency control of multi‐source electrical power system integrated with solar‐thermal and electric vehicle

Farooq

Rahman

Lone

2021

Int Trans Electr Energ Syst

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Summary Delivering reliable and adequate power to the consumer is essentially critical. Standard quality of power is measured by its frequency stability and power flow between different control areas. Therefore, power‐system‐control is generally attained with load‐frequency‐control (LFC). This paper presents the LFC of a hybrid power system comprising of conventional‐thermal, solar‐thermal and electric vehicle (EV). The inclusion of EVs into the utility grid, generation‐rate‐constraint of thermal plants and time‐delay in all three control areas makes the proposed power system more realistic and a practical one. This makes the system a bit complex and requires a robust controller to function optimally. An integral‐double‐derivative (IDD) controller is applied for this study and the system responses are compared with those of classical controllers. The controller gains are optimized using the powerful magnetotactic bacteria optimization (MBO) technique, which find its maiden application in power system studies. MBO optimized IDD controller performs better in contrast to other classical controllers. Further, a fuzzy logic control (FLC) is developed to optimize the gains of optimal IDD controller. System dynamic responses comparison of both fuzzy optimized IDD and MBO optimized IDD controller reveals an inclination towards the performance of fuzzy optimized IDD controller. This is validated with the help of demerit index. Robustness analysis is also done to highlight the strength of IDD controller optimized with both MBO and FLC for various system changes, such as load perturbation, system loading and solar irradiance. The critical review of all these analysis infers the effective performance of fuzzy optimized IDD controller.

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“…21 In 2020, Annamraju and Nandiraju proposed an improved dynamic control of MG using a Fuzzy multistage-PID approach. 22 In 2021, new controllers have been proposed by Arya et al such as cascade Fuzzy PIDN-fractional order PIDN 23 and cascade Fuzzy PIDNfractional-order IDN, 24 both have been tuned by a robust metaheuristic method namely Imperialist Competitive Algorithm.…”

Section: Introductionmentioning

confidence: 99%

Multi‐microgrid intelligent load shedding for optimal power management and coordinated control with energy storage systems

2021

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This paper deals with optimal multi-stage power management and control coordinated with load shedding in interconnected microgrid (MG) with various renewable energy sources (RESs), namely: wind turbine, photovoltaic generator and concentrated solar power generator. Hybrid energy storage systems including electrical vehicles, fuel cells, redox flow batteries and superconducting magnetic energy storage have been introduced to improve the overall MG frequency dynamic performances in case of renewable energy integration and load disturbances. To improve the interconnected MG tie-lines power control, flexible alternating current transmission systems are added. For an optimal and robust solution, an artificial intelligence strategy is proposed, combining a load frequency control-based cascade Fuzzy-proportional-integral-derivative controller with filter (PIDN). In doing so, a recently metaheuristic algorithm that mimics the social behavior of elephants in nature, named Elephant Herding Optimization, has been employed to optimize the Fuzzy-PIDN controller gains. To show the effectiveness and superiority of the proposed control strategy, various scenarios are carried out. A comparative study in view of a settling time and peak over/undershoot has been performed.The obtained results demonstrate that the proposed control strategy gives good performances for MG power management and control under RESs integration and load disturbances scenarios.

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A novel fuzzy tuned multistage PID approach for frequency dynamics control in an islanded microgrid

Cited by 24 publications

References 37 publications

Improving frequency regulation of wind‐integrated multi‐area systems using LFA‐fuzzy PID control

Improving frequency regulation of wind‐integrated multi‐area systems using LFA‐fuzzy PID control

Load frequency control of multi‐source electrical power system integrated with solar‐thermal and electric vehicle

Multi‐microgrid intelligent load shedding for optimal power management and coordinated control with energy storage systems

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