Integrating layered recurrent ANN with robust control strategy for diverse operating conditions of AGC of the power system

Panwar, Akhilesh; Arya, Yogendra; Kumawat, Manoj

doi:10.1049/iet-gtd.2019.0935

Cited by 60 publications

(39 citation statements)

References 19 publications

(22 reference statements)

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“…DFIG‐based WTs can provide inertial support during the transient phase through the inertial emulation control (IEC) approach. The dynamic TFM which is generally used in various studies [9, 25], for investigating frequency regulation by using the IEC strategy is shown in Fig. 2.…”

Section: Mathematical Modelling Of Power Systemsmentioning

confidence: 99%

“…The role of PI controller is to regulate wind generators to compensate for the unexpected load changes and deviation in turbine speed.

normalΔ P_{ω}^{*}

t = 0

is considered 0 when a disturbance occurs because

normalΔ P_{ω}^{*}

changes relatively slow compared to

normalΔ P_{f}^{*}

and also assuming

normalΔ P_{wind} = normalΔ P_{normalf ω}^{*}

[25]. Then

normalΔ P_{normalf ω}^{*} = normalΔ P_{f}^{*} + 0

normalΔ P_{wind} = normalΔ P_{normalf ω}^{*} = normalΔ P_{f}^{*} = - K_{pf} normalΔ F - K_{df} \frac{normald F}{normald t}

The system inertia translates into

H^{*}

whenever the WTU participated in total system inertia, i.e.…”

Section: Mathematical Modelling Of Power Systemsmentioning

confidence: 99%

“…Although fuzzy gives a model‐free description, it also has few limitations about the selection of membership functions (MFs) and rules [24]. To conquer these limitations, layered recurrent ANN [25] and adaptive neuro fuzzy inference system (ANFIS) [17] techniques are presented with progressive and adaptive control configuration.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the execution of these controllers for secondary control becomes furthermore imperative and difficult in case of grid integration of wind energy‐based RESs. Various studies are found in the recent years towards frequency regulations of wind integrated power systems using conventional [2, 38, 39], layered recurrent ANN [25], sliding mode [40], model predictive [41, 42], etc. controls as shown in Table 1.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Frequency excursion mitigation strategy using a novel COA optimised fuzzy controller in wind integrated power systems

Sharma¹,

Dhundhara

Arya³

et al. 2020

IET Renewable Power Generation

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The uncertain demeanour from wind generators and loads adversely affect the grid operational stability. Various control approaches have been explored to remedy the system uncertainties while maintaining generation and load demand balance. This study proposes a fuzzy‐based proportional–fractional integral–derivative with filter controller to sustain frequency stability in wind integrated power systems having different configurations. The controller parameters have been tuned using a recently developed coyote optimisation algorithm (COA). The proposed control approach is executed and validated on three distinct configurations of two‐area power systems. All test models are integrated with a doubly fed induction generator (DFIG) type wind turbine units (WTUs). Different case scenarios have been considered to analyse the efficacy of the proposed control strategy in the presence of WTU. Furthermore, the impact of inertial support delivered by the DFIG‐WTU and higher penetration of wind energy in the power system has been studied. The analysis reveals that the control scheme in coordination with WTU support reduces the stress on a wind turbine during the inertial control scheme and maintains the grid frequency stability under unexpected load disturbances. Stability and robustness analysis are also conducted to verify the validity of the introduced control approach.

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Section: Mathematical Modelling Of Power Systemsmentioning

confidence: 99%

“…The role of PI controller is to regulate wind generators to compensate for the unexpected load changes and deviation in turbine speed.

normalΔ P_{ω}^{*}

t = 0

is considered 0 when a disturbance occurs because

normalΔ P_{ω}^{*}

changes relatively slow compared to

normalΔ P_{f}^{*}

and also assuming

normalΔ P_{wind} = normalΔ P_{normalf ω}^{*}

[25]. Then

normalΔ P_{normalf ω}^{*} = normalΔ P_{f}^{*} + 0

normalΔ P_{wind} = normalΔ P_{normalf ω}^{*} = normalΔ P_{f}^{*} = - K_{pf} normalΔ F - K_{df} \frac{normald F}{normald t}

The system inertia translates into

H^{*}

whenever the WTU participated in total system inertia, i.e.…”

Section: Mathematical Modelling Of Power Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Frequency excursion mitigation strategy using a novel COA optimised fuzzy controller in wind integrated power systems

Sharma¹,

Dhundhara

Arya³

et al. 2020

IET Renewable Power Generation

Self Cite

View full text Add to dashboard Cite

show abstract

“…To overcome this, the fuzzy and AI based techniques were used to tune the gain parameters of controller for ALFC application. Although the design of FL and NN based classical controllers have self-adaptive properties to handle non-linearities in dynamical systems, their performance degrades if the network is not properly designed [7]- [9]. Numerous factors such as membership function, fuzzy rules, transfer function model, number of input and output layers and method of training the network can affect the output of the designed controller.…”

Section: Introductionmentioning

confidence: 99%

A Matignon’s Theorem Based Stability Analysis of Hybrid Power System for Automatic Load Frequency Control Using Atom Search Optimized FOPID Controller

et al. 2020

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The large-scale penetration of intermittent renewable energy (RE) sources such as wind and solar power generation may cause a problem of frequency aberration, power quality and instability to the system. This occurs when the load frequency control of interconnected system is unable to compensate the power balance between generation and load demand. To overcome these issues, this paper proposes a method to analyze the frequency stability of Hybrid Power System (HPS) through adaptive intelligent control techniques for delivering reliable power supply under the stochastic nature of RE and load demand. A recently developed physics-inspired Atom Search Optimization algorithm was applied for tuning the parameters of Fractional Order Proportional-Integral-Derivative controller for Automatic Load Frequency control of HPS. In addition, an effort was made to analyze the frequency stability of HPS using Matignon's theorem. The interconnected HPS consists of reheat thermal power system, RE sources such as wind and solar thermal power generation associated with energy storage devices namely aqua electrolyzer, fuel cell and electric vehicle. The gain and fractional terms of the controller were obtained by minimizing the Integral Time Absolute Error of interconnected system. The robustness of ASO-tuned FOPID controller is tested on two-area HPS that was modelled using MATLAB/Simulink. The results obtained were then compared with other fractional order and classical integer order controllers. From the simulation results, it is inferred that the proposed ASO-tuned FOPID controller gives superior transient and steady-state response compared with other controllers. Moreover, the self-adaptiveness and robustness of the controller was validated to account for the change in RE power generations and system parameters. Furthermore, the effectiveness of the method is proved by comparing its performance with the recent literature works. The real-time applicability of proffered controller is validated in hardware-in-the-loop simulation using Real Time Digital Simulator.

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Analysis of Gaussian fuzzy logic‐sliding model control and flexible AC transmission systems controllers for automatic generation control of hybrid power system under chaotic‐water cycle algorithm approach

Mahapatra¹,

Samal

Mohapatra

et al. 2021

Int Trans Electr Energ Syst

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The article has suggested a hybridized fuzzy logic-sliding model control (FL-SMC) approach for automatic generation control (AGC) of a hybrid power system under various uncertainties. The hybrid structure makes modern power system more complex, and the inherent uncertain of renewable sources further causes power imbalance and frequency oscillations in the system. The AGC incorporates power generation monitoring and consequent frequency control of the hybrid system irrespective of the load demand. To obtain automatic control over power generation, various control actions are employed as secondary loop in the system. This study proposes FL-SMC as secondary controller for monitoring power generation of multigrid power system. Further, a novel chaotic-water cycle algorithm (C-WCA) has been suggested for optimum parameter selection of the proposed controller under different disturbances. The work also has implemented an interline power flow controller to improve AGC of hybrid system. The effectiveness of the proposed controller over sliding mode controller, conventional fuzzy-PID, and PID controller has been synthesized to justify its superiority. The robustness of the proposed controller has been examined through a critical sensitive analysis. Finally, it has been observed that proposed controller advances the settling time of ΔF 1 by 41%, 61.4%, and 86.4% over sliding mode controller, fuzzy-PID, and PID controller, respectively.

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Integrating layered recurrent ANN with robust control strategy for diverse operating conditions of AGC of the power system

Cited by 60 publications

References 19 publications

Frequency excursion mitigation strategy using a novel COA optimised fuzzy controller in wind integrated power systems

Frequency excursion mitigation strategy using a novel COA optimised fuzzy controller in wind integrated power systems

A Matignon’s Theorem Based Stability Analysis of Hybrid Power System for Automatic Load Frequency Control Using Atom Search Optimized FOPID Controller

Analysis of Gaussian fuzzy logic‐sliding model control and flexible AC transmission systems controllers for automatic generation control of hybrid power system under chaotic‐water cycle algorithm approach

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