An Efficient Adaptive Moth Flame Optimization Algorithm for Solving Large-Scale Optimal Power Flow Problem with POZ, Multifuel and Valve-Point Loading Effect

Buch, Hitarth; Trivedi, Indrajit N.

doi:10.1007/s40998-019-00211-9

Cited by 20 publications

(10 citation statements)

References 38 publications

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“…The remuneration procedure of the power quality should be possible by the proposed random decision forest with moth-flame optimization photovoltaic-based maximum power point tracking controller. In the proposed approach, the power quality issues are illuminated utilizing this random decision forest with moth-flame optimization hybrid methodology (Buch and Trivedi, 2019). In this hybrid methodology, the moth-flame optimization is a meta-heuristic nature roused optimization algorithm, which relies upon the course procedure for moths in nature known as transverse orientation (Figure 3).…”

Section: Harmonics Mitigation Using Random Decision Forest With Moth-mentioning

confidence: 99%

RETRACTED: Harmonics mitigation in hybrid shunt active power filter connected renewable energy source using an intelligent controller

Arunsankar

Srinath²

2020

Transactions of the Institute of Measurement and Control

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This paper proposes an intelligent technique-based optimal controller for harmonics mitigation to maintain the power quality in renewable energy source (RES)-based distribution systems. The proposed intelligent technique is the joint execution of both the fractional-order proportional integral controller and moth-flame optimization with random decision forest. In the proposed approach, moth-flame optimization optimizes the dataset of fundamental and harmonic loop parameters such as terminal voltage and direct current voltage present in the hybrid shunt active power filter. The dataset is generated based on the linear and nonlinear load variation and parameter variation of the renewable energy sources, subject to the minimum error objective function. Based on the accomplished dataset, random decision forest accurately predicts the parameters and produces optimized control signals. The proposed technique guarantees the system with less complexity for the harmonics mitigation of the power quality event and hence the accuracy of the system is raised. Then, the proposed model is executed in the Matrix Laboratory/Simulink working platform and the execution is assessed with the existing techniques. The simulation analysis of the proposed approach is tested using the six test cases with various combinations of nonlinear loads. In all the test cases, the performance of various system parameters, such as source current with and without filter, source voltage, hybrid shunt active power filter current, load current and voltage, is analysed. Furthermore, the total harmonic distortion at different load ratings is also examined.

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Section: Harmonics Mitigation Using Random Decision Forest With Moth-mentioning

confidence: 99%

RETRACTED: Harmonics mitigation in hybrid shunt active power filter connected renewable energy source using an intelligent controller

Arunsankar

Srinath²

2020

Transactions of the Institute of Measurement and Control

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“…With the proposed approach, EGOA optimizes the data set of fundamental and harmonic loop parameters such as terminal voltage and DC voltage present in the SHAPF based on the variation of the load and the variation of the system parameters. Buch et al [4] this paper provides an optimized butterfly flame optimization algorithm to effectively solve Optimal Power Flow problems. The idea of Moth Flame Optimization is driven by the movement of the moth towards the moon.…”

Section: Literature Reviewmentioning

confidence: 99%

“…4 shows a basic model in order to implement the PQ algorithm in Shunt Active Power Filter of proposed model. The p-q Block and the Inverse p-q Block bears the subsequent algorithms to the equation (2)(3)(4)(5). As PQ algorithm is a power based algorithms the load current also has its role at the input side.…”

Section: Instantaneous Power Theory or Pq-theorymentioning

confidence: 99%

Multiple AI based Controlling Techniques for Power Filter Output Quality Improvement

Raghuvanshi

Lomash

2021

IJOSCIENCE

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The excessive of power electronics devices in distribution system has evolved the problem of power quality. This work represents the effective solution of shunt active power filter for eliminating the harmonics to maintain the quality of utility power supply. In the proposed scheme shunt active filter acts as a voltage source and eliminates harmonics by injecting equal but opposite harmonics components at the point of common coupling. Simulation of shunt active filter based on instantaneous reactive has been achieved in the MATLAB/SIMULINK environment. The controllers are being designed with the objective of reducing the THD% in voltage and current available at the nonlinear load terminal of the system. The controller incorporated optimization algorithms based on the artificial intelligence techniques as well. The comparative analysis of the effectiveness and efficiency of the controllers in improving the quality factors has been carried out. The distortion level in the output voltage waveforms in both the cases being fed to the load when compared, it is found that proposed hybrid structure of control for the filter is more effective in reducing the distortion as compared to standard PQ theory based architecture. The study concluded that the total harmonic distortion in the voltage output waveform being fed to the load using only PQ theory based online learning algorithm is found to be 1.59 % while in case of the output voltage at the load terminal from the power filter using proposed hybrid algorithm comprising of NN learning with CSA optimizing control and PQ_RLS algorithm for THD reduction the THD% level is 0.43 %.

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“…These techniques are categorized into evolutionary-based, swarm-based, and physics-based strategies. Some of these techniques were used to solve the OPF problem, e.g., genetic algorithm (GA) [16], modified particle swarm optimization (PSO) [17], artificial bee colony (ABC) [18], grey wolf optimizer [19], flower pollination algorithm (FPA) [20], moth-flame optimization (MFO) [21], ant colony optimization (ACO) [22], gravitational search algorithm (GSA) [23], whale optimization algorithm (WOA) [24], [25], multi-objective dragonfly algorithm (MODA) [26], shuffled frog leaping algorithm (SFLA) [27], cuckoo Optimization Algorithm (COA) [28], Jaya optimizer [29], tree seed algorithm (TSA) [30], Sine-Cosine algorithm [31], and sunflower optimization (SFO) [32]. In [33], improved GA is applied to solve the OPF problem of a single area system by considering the presence of renewable energy resources and energy storage units.…”

Section: Introductionmentioning

confidence: 99%

Multi-Regional Optimal Power Flow Using Marine Predators Algorithm Considering Load and Generation Variability

et al. 2021

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This paper introduces the application of a newly developed heuristic nature-inspired optimization technique, viz, tuned Marine Predator Algorithm (MPA), to solve the optimal power flow (OPF) problem of multi-regional systems. The paper proposes MPA parameters' tuning to enhance the algorithm performance. The paper takes into account the variability of different types of renewable energy resources (RERs) and loads. Two modeling approaches are presented: holistic (multi-regions are modeled as one large network) and inter-bounded (modeling the regional interfaces). The MPA is applied to the IEEE-48 bus connected system, and the results are compared with another well-established heuristic algorithm, namely the Genetic Algorithm (GA). The results demonstrate the validation, applicability and effectiveness of using the MPA for solving multi-region OPF problem considering renewable energy sources and load variability.

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An Efficient Adaptive Moth Flame Optimization Algorithm for Solving Large-Scale Optimal Power Flow Problem with POZ, Multifuel and Valve-Point Loading Effect

Cited by 20 publications

References 38 publications

RETRACTED: Harmonics mitigation in hybrid shunt active power filter connected renewable energy source using an intelligent controller

RETRACTED: Harmonics mitigation in hybrid shunt active power filter connected renewable energy source using an intelligent controller

Multiple AI based Controlling Techniques for Power Filter Output Quality Improvement

Multi-Regional Optimal Power Flow Using Marine Predators Algorithm Considering Load and Generation Variability

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