Design and Analysis of Novel QOEO Optimized Parallel Fuzzy FOPI-PIDN Controller for Restructured AGC with HVDC and PEV

Aryan, Pulakraj; Raja, G. Lloyds

doi:10.1007/s40998-022-00484-7

Cited by 37 publications

(16 citation statements)

References 44 publications

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“…To demonstrate the effectiveness of the algorithm and suggested controller, a comparison is made between the results obtained from the suggested controller and algorithm, and the results previously reported on the same platform. 11,39 The deviation of frequency and tie-line power is shown in Figure 21. The suggested controller reduces frequency variation in areas 1 and 2, as well as on the tie line.…”

Section: Comparison Of the Proposed Controller Results With The Previ...mentioning

confidence: 99%

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A modified tilt controller for AGC in hybrid power system integrating forecasting of renewable energy sources

Vidyarthi,

Kumar

2023

Optim Control Appl Methods

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This article emphasizes the intermittent characteristics of renewable energy sources (RESs) and explores the role of forecasting in improving the performance of the automatic generation control (AGC) mechanism of the interconnected power system. Due to hybridization of power system basic AGC controller (PID, TID, and ID‐T) are insufficient to stabilized the system parameters. So, a new type of fractional order integral tilted derivative controller (FIDN‐T) has been proposed, which give better performance in terms of settling time, undershoot and overshoot in case of RESs with real data forecasting also. FIDN‐T has been compared with some existing controller which give the results better than basic controller. In order to optimize the different parameters of the proposed controller, a new modified Opposition‐based Sea‐horse Optimization (OSHO) algorithm has been proposed. The OSHO is compared with a few existing, well‐known meta‐heuristic algorithms to show its superiority. The analysis has been conducted under different operating conditions, including step and random disturbances as well as the IEEE‐39 bus, to verify the robustness as well as adaptability of the suggested controller. The comprehensive results of the studies provide strong evidence in support of the effectiveness and efficacy of the suggested control methods and suggest that it has the potential to be implemented in real‐world power systems for improved performance and stability.

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Section: Comparison Of the Proposed Controller Results With The Previ...mentioning

confidence: 99%

“…The suggested controller effectiveness is validated by the IEEE‐39 bus model 10 . Load frequency management, also known as AGC, deals with the regulation of grid frequency in both normal and abnormal operating circumstances, and the management of power flow through tie‐lines connecting different zones within the power system 11 …”

Section: Introductionmentioning

confidence: 99%

A modified tilt controller for AGC in hybrid power system integrating forecasting of renewable energy sources

Vidyarthi,

Kumar

2023

Optim Control Appl Methods

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“…30 To obtain the optimal settings of a branched combination of fuzzy fractional-order proportional-integral and proportional-integral-derivative controller with filter (FFOPI + PIDN) for performing automatic generation control (AGC) operation in a two-area power system integrated with conventional energy unit along with different alternative energy-based power plant, novel quasi-opposition-based equilibrium optimizer (QOEO) algorithm was proposed by the researcher. 31 Researchers implemented a modified sine cosine algorithm (MSCA) to obtain optimal ratings of the conventional PID and fuzzy-PID (FPID) controllers in the AGC problem. 32 A population oriented algorithm known as soccer league optimization (SLO) that imitates the behavior of team players in a soccer league competition was proposed by researchers to solve the load flow (LF) problem for addressing the active-reactive power and voltage magnitude and angle related concerns of IEEE transmission and distribution systems.…”

Section: Literature Reviewmentioning

confidence: 99%

“…A recent study reported applying a multi‐objective seeker optimization algorithm along with a fuzzy membership function for the optimization of photovoltaic (PV) energy incorporated microgrid system considering the charging‐discharging pattern of EV 30 . To obtain the optimal settings of a branched combination of fuzzy fractional‐order proportional‐integral and proportional‐integral‐derivative controller with filter (FFOPI + PIDN) for performing automatic generation control (AGC) operation in a two‐area power system integrated with conventional energy unit along with different alternative energy‐based power plant, novel quasi‐opposition‐based equilibrium optimizer (QOEO) algorithm was proposed by the researcher 31 . Researchers implemented a modified sine cosine algorithm (MSCA) to obtain optimal ratings of the conventional PID and fuzzy‐PID (FPID) controllers in the AGC problem 32 .…”

Section: Introductionmentioning

confidence: 99%

Chaotic simplex moth swarm algorithm for optimization of alternative energy integrated power grid including static synchronous series compensator

Banerjee¹,

Roy

Panda³

2022

Int J Numerical Modelling

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An optimal power flow (OPF) model is developed in this paper, which includes three highly volatile energy sources: wind energy, photovoltaic energy, and electric vehicle as a vehicle to grid energy source. An interpretable probabilistic approach is implemented to estimate the power generation from the mentioned energy sources using different probability distribution functions. A single static synchronous series compensator is optimally configured and positioned in the combined grid power system to achieve balanced operation. This significant uncertainty imposed OPF model is solved by blending (a) chaotic mapping technique, and (b) Nelder–mead simplex method with conventional moth swarm algorithm (MSA) and the modified version of MSA is called chaotic simplex MSA (CSMSA). Proposed CSMSA's performance is evaluated analytically using extensive simulation approaches that include six different power‐related simulation instances considering IEEE 30 and 118‐bus test grid systems. The strength of the proposed CSMSA is examined by comparing its performance to five outstanding metaheuristic techniques.

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“…Various error cost functions like integrated squared error (ISE) [36], integrated time-weighted absolute error (ITAE) [37], integrated squared time cubed error (IST 3 E) [38], integrated exponential time squared error (IETSE), and integrated time exponential time squared error (ITETSE) [39] have been utilized for obtaining optimal controller parameters. Various iterative methods such as numerical optimization [40], fminsearch subroutine [41], and soft computingbased optimization methods which include particle swarm optimization (PSO) [36,38], cuckoo optimization [9], genetic algorithm [42], artificial bee colony (ABC) optimization [43], and quasi-opposition-based equilibrium optimizer [44] have been used to minimize the aforementioned cost functions. Goud and Swarnkar [45] have reported a signal synthesis based MRAC controller using ABC optimization technique for CSTR process.…”

Section: Introductionmentioning

confidence: 99%

Improved fractional augmented control strategies for continuously stirred tank reactors

Mukherjee

Raja

Kundu

et al. 2022

Asian Journal of Control

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Controlling concentration and temperature of continuously stirred tank reactor (CSTR) is an extremely challenging task in chemical process industries. This is because conventional unity feedback schemes do not guarantee stable operating conditions for the CSTR process. Therefore, fractional calculus is augmented with multi‐loop control to achieve enhanced stability and closed‐loop performance than unity feedback structure in this work. Accordingly, three different fractional‐order‐based novel multi‐loop control structures are proposed based on time domain analysis. In two of the proposed strategies, fractional‐order PID controller (FOPID) and internal model control (IMC)‐based FOPID controller with fractional filter are used in the inner‐loop. Moreover, fractional‐order‐based Lyapunov stability rule of model reference adaptive control (MRAC) is used in outer‐loops for both of the above mentioned methods. Finally, an advanced multi‐loop predictor with FOPD controller in the inner‐loop and FOIMC controller in the outer‐loop is also proposed. In this work, fractional‐order, filter parameters, and FOPID settings are obtained by minimizing multi‐objective functions using modified particle swarm optimization (PSO) algorithm. Closed‐loop responses and control efforts of the proposed control strategies are compared with that of FO‐Lyapunov‐based MRAC scheme. Quantitative performance analysis is also carried out on all proposed methods based on error metrics and total variation of the control signal.

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Design and Analysis of Novel QOEO Optimized Parallel Fuzzy FOPI-PIDN Controller for Restructured AGC with HVDC and PEV

Cited by 37 publications

References 44 publications

A modified tilt controller for AGC in hybrid power system integrating forecasting of renewable energy sources

A modified tilt controller for AGC in hybrid power system integrating forecasting of renewable energy sources

Chaotic simplex moth swarm algorithm for optimization of alternative energy integrated power grid including static synchronous series compensator

Improved fractional augmented control strategies for continuously stirred tank reactors

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