Performance Comparison of SMO-Based Fuzzy PID Controller for Load Frequency Control

Tripathy, Debasis; Barik, Amar Kumar; Choudhury, Nalin B. Dev; Sahu, Binod Kumar

doi:10.1007/978-981-13-1595-4_70

Cited by 28 publications

(23 citation statements)

References 14 publications

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“…The responses of ∆ F 1 /∆ F 2 /∆Ptie 12 /∆P g1 /∆P g2 at area 1 SLP of 1% are given in Figure A to F. The responses of FPIDF‐(1 + PI) with CES/CES‐RFB, FPIDF with/without CES, and some other existing controllers like FA‐optimised PI/PID, SOS/ABC‐optimised PID, and SMO‐optimised FPID are presented in Figure A to F and Table . The inspection of the results shown in Figure A to F/Table demonstrates that FPIDF‐(1 + PI) with CES as well as with CES‐RFB exhibits superior performance in respect to other methods.…”

Section: Two‐area Reheat Thermal Systemmentioning

confidence: 99%

“…In PS, principal distinction of FLC is to rapidly modify the control parameters in accordance with the frequency variations. Lately, there has been an extensive progress in interest of FLC in AGC operation of PS . Various fuzzy‐conventional control structures are suggested for advancement of AGC performance in traditional/restructured lineal/nonlinear electric PS .…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, this is simple and economical strategy. Spider monkey optimisation (SMO) technique is employed to optimise input and output SFs of FPID controller in a two‐area reheat thermal system . ICA is adopted fruitfully to optimise SFs of FPI/FPIDF plus double integral (FPIDF‐II)/FPIDF‐(1 + PI) controller parameters in different multiarea PS.…”

Section: Introductionmentioning

confidence: 99%

“…[23][24][25][26][27][28][29] Various fuzzy-conventional control structures are suggested for advancement of AGC performance in traditional/restructured lineal/nonlinear electric PS. [23][24][25][26][27][28][29] Numerous optimisation methods have been lucratively involved to obtain the best values of FLC parameters. The prevalent technique of FLC optimisation includes the optimisation of its input and output scaling factors (SFs) only, not the rule base and membership functions (MFs) as they significantly impact the performance of FLC.…”

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confidence: 99%

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Effect of energy storage systems on automatic generation control of interconnected traditional and restructured energy systems

Arya¹

2019

Int J Energy Res

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Summary During major disturbances in electric power system (PS) penetrated with renewable energy sources, primary and supplementary automatic generation control (AGC) strategies usually show inefficiency in mitigating the frequency and power oscillations because of sluggish control action. The frequency and power deviations should be controlled to retain the generation‐demand balance, which reinforce the quality and stability of overall PS. The fast‐acting energy storage systems (ESSs) having very small time constants like capacitive energy storage (CES) and redox flow battery (RFB) are utilised in this study to improve these dynamic responses. To conduct the analysis, initially, a two‐area nonreheat thermal PS with extra generations from wind turbine system (WTS) and dish‐stirling solar thermal system (DSTS) is explored extensively, and then to validate the efficacy of the method, the approach is tested on two‐area nonreheat thermal system having governor deadband (GDB) nonlinearity, reheat thermal, and restructured multisource thermal gas systems. An imperialist competition algorithm (ICA) optimised fuzzy PID‐filter‐(1 + PI) controller named as FPIDF‐(1 + PI) is utilised as supplementary controller, and its performance with CES/CES‐RFB is compared with ICA‐optimised FPIDF with/without CES and existing optimal PI/PID/PIDF/FPID controller without CES. Investigation of dynamic responses for sudden variation in power demand unveils the superiority of the control approach compared with others regarding settling time, peak undershoot, and performance index. Analysing the impact of ESSs on the responses divulges that the amalgamation of CES‐RFB in PS imparts better system dynamics. The robustness analysis suggests that ICA‐optimised controller with ESSs performs excellently and robustly for ±25% variation in PS parameters, random load disturbances, and nonlinearities.

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Section: Two‐area Reheat Thermal Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Effect of energy storage systems on automatic generation control of interconnected traditional and restructured energy systems

Arya¹

2019

Int J Energy Res

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“…Some of the reported works hitherto biorenewable cogeneration-based isolated hμG were discussed on ALFC. [11][12][13][14][15][16][17] The ALFC regulates the active power demand of the grid only, whilst reactive power control is also crucial in real-world paradigm which depends on voltage regulation of the grid with automatic voltage regulator (AVR). 21 Some works are recently reported on combined voltage and frequency control of isolated system in Gupta et al 22 and interconnected multi-area systems in Othman and El-Fergany and Rajbongshi and Saikia 23-26 for a nominal frequency ( f ) of 60 Hz.…”

Section: Introductionmentioning

confidence: 99%

Coordinated regulation of voltage and load frequency in demand response supported biorenewable cogeneration‐based isolated hybrid microgrid with quasi‐oppositional selfish herd optimisation

Barik

Das

2019

Int Trans Electr Energ Syst

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Summary This work is the earliest attempt towards coordinated regulation of both frequency and voltage of an isolated multisource‐based hybrid microgrid with demand response support using a modified selfish herd optimisation. It is a maiden effort to propose a 50‐Hz system frequency‐based hybrid microgrid model, utilising biorenewable sustainable energy sources like sunrays, wind, waste waters, and agricultural and domestic wastes, with available support from demand response contributors for a dual objective of waste and power management. The intermittency of these resources due to climatic variations creates a great challenge to meet the timely consumer demands of the microgrid with reliable quality power supply. To overcome these issues, the performances of the proposed system are studied considering different typical Indian‐climatic scenarios round the year with real‐time recorded data. Initially, the system performances are compared proposing a new objective function called integral square of weighted absolute error in order to minimise the net deviation in system apparent power, using six controllers tuned with four‐popular/recent optimisation algorithms and four‐objective functions in MATLAB. Then, the simulation results are analysed for five different extreme scenarios of both source and load variations in the proposed system using a novel quasi‐oppositional selfish herd optimisation and reported adaptive performances with demand response support. Finally, the sensitivity of the proposed system with variation in system inertia and load damping factor are analysed to study the robustness of the proposed system.

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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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Performance Comparison of SMO-Based Fuzzy PID Controller for Load Frequency Control

Cited by 28 publications

References 14 publications

Effect of energy storage systems on automatic generation control of interconnected traditional and restructured energy systems

Effect of energy storage systems on automatic generation control of interconnected traditional and restructured energy systems

Coordinated regulation of voltage and load frequency in demand response supported biorenewable cogeneration‐based isolated hybrid microgrid with quasi‐oppositional selfish herd optimisation

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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