Improving gain of real time PI controller using particle swarm optimization in active power filter

Reddy, Research Scholar M. Madhusudhan; Varma, Associate Professor P. Srinivasa; Lenine, Professor D.

doi:10.1016/j.micpro.2023.104760

Cited by 2 publications

(7 citation statements)

References 24 publications

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“…The soft-computing-based methods offer robust and low-cost solutions for situations characterized by imprecision and uncertainty, and they are either learning techniques or techniques inspired by natural phenomena. This category includes complex techniques such as fuzzy logic control algorithm, artificial neural network (ANN), adaptive linear neurons (ADALINE), genetic algorithm (GA), particle swarm optimization (PSO), bacterial foraging optimization (BFO), ant colony optimization (ACO), grey wolf optimizer (GWO), and cuckoo search algorithm (CSA) [2,8,20,32,[34][35][36][37][38][39][40][41][42][43]. There are also possible combinations of these methods, like the adaptive neuro-fuzzy control algorithm, fuzzy-genetic algorithm, adaptive neuro-fuzzy inference system (ANFIS), and hybrid particle swarm optimization-grey wolf optimization (PSO-GWO) [8,31,32].…”

Section: Soft-computing Methodsmentioning

confidence: 99%

“…It is one of the methods with the most implementations in the SAPF control since the 1980s, when the first form of the p-q theory was proposed [147]. There are many implementations for three-phase, three-wire systems operating under sinusoidal voltage conditions, corresponding to the original theory [7,8,20,32,39,73,101,102,[148][149][150][151][152][153][154]. Extended applicability of the method was also considered for operation under nonsinusoidal voltage conditions [108,146,[155][156][157][158] and multilevel SAPFs [58,111].…”

Section: Reference Current Generation For the Direct Controlmentioning

confidence: 99%

“…Although there are many new contributions that fall into the time-domain and frequency-domain methods for the reference current calculation, most ideas and contributions in recent years refer to methods from the so-called soft-computing category [2,[31][32][33]. They are either learning techniques or techniques inspired by natural phenomena [2,8,20,32,[34][35][36][37][38][39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

“…For the current control, various control techniques have been proposed. Starting from the classic and simple control with fixed hysteresis band [2,39,[44][45][46][47][48][49][50], improved adaptiveband hysteresis algorithms appeared and also model predictive control [2,19,20,25,34,51,52], deadbeat control [2,34,[53][54][55][56], sliding mode control [2,34,[57][58][59][60][61], proportional-resonant control [54,56,[62][63][64][65][66][67], repetitive control [2,18,[25][26][27]62,[68][69][70][71][72], multi-loop control [73]…”

Section: Introductionmentioning

confidence: 99%

“…In most cases, using a proportionalintegral (PI) controller is satisfactory [48,54,55,57,66,69,95,[99][100][101][102][103][104][105][106][107][108]. However, there are other types of controllers proposed in recent years in the literature, such as PI/fuzzy [49,109], fuzzy [49,87,110], PSO/PI [39], synergetic [111], bi-sliding mode PI [112], ANN [42], sliding mode [99,113,114], and capacitor energetic model-based controller [115].…”

Section: Introductionmentioning

confidence: 99%

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Shunt Active Power Filters in Three-Phase, Three-Wire Systems: A Topical Review

Popescu,

Bitoleanu,

Suru

et al. 2024

Energies

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The increasingly extensive use of non-linear loads, mostly including static power converters, in large industry, commercial, and domestic applications, as well as the spread of renewable energy sources in distribution-generated units, make the use of the most efficient power quality improvement systems a current concern. The use of active power filters proved to be the most advanced solution with the best compensation performance for harmonics, reactive power, and load unbalance. Thus, issues related to improving the power quality through active power filters are very topical and addressed by many researchers. This paper presents a topical review on the shunt active power filters in three-phase, three-wire systems. The power circuit and configurations of shunt active filtering systems are considered, including the multilevel topologies and use of advanced power semiconductor devices with lower switching losses and higher switching frequencies. Several compensation strategies, reference current generation methods, current control techniques, and DC-voltage control are pointed out and discussed. The direct power control method is also discussed. New advanced control methods that have better performance than conventional ones and gained attention in the recent literature are highlighted. The current state of renewable energy sources integration with shunt active power filters is analyzed. Concerns regarding the optimum placement and sizing of the active power filters in a given power network to reduce the investment costs are also presented. Trends and future developments are discussed at the end of this paper. For a rigorous substantiation, more than 250 publications on this topic, most of them very recent, constitute the basis of bibliographic references and can assist readers who are interested to explore the subject in greater detail.

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