| Applications . | Reference . | Year . | Objective . | Technique(s) . |
|---|---|---|---|---|
| Voltage control | Kothakotla et al. [87] | 2021 | Integrated–proportional–derivative controller designed to control the isolated microgrid grid voltage | Genetic algorithm |
| Wang et al. [88] | 2020 | A multi-agent grid control system driven by data using an ANN method | Artificial neural network | |
| Zidani et al. [89] | 2018 | The voltage and frequency of an automated induction generator are being manipulated using a novel technique | Artificial neural network | |
| Sumathi et al. [90] | 2015 | The backpropagation feeder for an artificial neural network has been designed to estimate the UPFC output variables for different loading conditions in a 24-bus Indian extra-high-voltage power system | Backpropagation feedforward artificial neural network | |
| Kanata et al. [91] | 2018 | Improving the power system quality to measure the precise control variable value. Improved power system quality | Particle swarm optimization and hybrid artificial neural network | |
| Abdalla et al. [92] | 2016 | Avoiding voltage violations in contingencies of power systems by adjusting coordinated PID controller parameters | Genetic algorithm | |
| Chung et al. [93] | 2008 | This study provides control systems for coordinating numerous microgrid generators for grid-connected and autonomous modding, utilizing interfaces of inverter type | Particle swarm optimization | |
| Power system stability control | Yousuf et al. [94] | 2021 | The electricity system automation ensures restoration, error diagnostic, management and network security | Fuzzy logic, genetic algorithm |
| Aakula et al. [95] | 2020 | This article uses optimization, a heuristic-based swarm intelligence method, to obtain enough reactive energy to improve bus voltages | Particle swarm optimization | |
| Karthikeyan et al. [96] | 2017 | In this paper, fuzzy-PID-based STATCOM is proposed to increase the stability of the energy system under failure conditions | Fuzzy logic | |
| Sallama et al. [97] | 2014 | Here, stability is received in the shortest amount of time and with the least amount of disruption | Neuro-fuzzy system and particle swarm optimization | |
| Chen et al. [98] | 2018 | To enhance the current communication network to meet low latency and high economic requirements, a perfect planning method is presented | Genetic algorithm | |
| Torkzadeh et al. [99] | 2014 | The genetic algorithm, the GA-FLC (optimized fuzzy logic controller), is used to damp down low-frequency oscillations | Genetic algorithm and fuzzy logic | |
| Dutta et al. [100] | 2017 | A common solution required for the power stabilizer to compress low-frequency oscillation (PSS) | Ant colony optimization | |
| Nam et al. [101] | 2018 | A comparison of different existing simulation models showed that, compared with existing optimization models, the projected method showed superior results for power system stability control | Kringing models | |
| Miraftabzadeh et al. [102] | 2021 | Advance machine learning can make work much easier in power system stability than conventional methods | Artificial neural network, genetic algorithm | |
| Load frequency control | Safari et al. [103] | 2021 | A microgrid (MG) is proposed for load frequency control (LFC) on the island, just like the model eves in this work contributes to the LFC system | Particle swarm optimization-based artificial neural network |
| Joshi et al. [104] | 2020 | For the first time, a novel control plan for the LFC of a hydro–hydro vitality framework has been developed based on joint efforts of the fuzzy logic control and PSO algorithm-built design of PID, resulting in an FLPSO-PID | Fuzzy logic with particle swarm optimization | |
| Nguyen et al. [105] | 2018 | The suggested constrained particle swarm optimization technique compares ACO with an assessment of its efficiency in the thermal interconnection system | Ant colony optimization | |
| Balamurugan [106] | 2018 | Its primary goal is to balance the generation and demand of a power system | Fuzzy logic | |
| Otani et al. [107] | 2017 | The control of a recurrent neural network is proposed for efficient use of the introduced storage battery | Artificial neural networks | |
| Kuma et al. [108] | 2020 | The planned solar and wind power is being utilized to analyse load frequencies, mitigate frequency changes, guarantee stability in the GM power system, to respond to the unexpected surge in demand for charging power and PI controllers by non-renewable sources | Recurrent neural network | |
| Arora et al. [109] | 2020 | A comparison of many existing simulation models showed that, compared with existing optimization models, the projected method showed superior results for smart grid control of frequency problems | Genetic algorithm, particle swarm optimization |
| Applications . | Reference . | Year . | Objective . | Technique(s) . |
|---|---|---|---|---|
| Voltage control | Kothakotla et al. [87] | 2021 | Integrated–proportional–derivative controller designed to control the isolated microgrid grid voltage | Genetic algorithm |
| Wang et al. [88] | 2020 | A multi-agent grid control system driven by data using an ANN method | Artificial neural network | |
| Zidani et al. [89] | 2018 | The voltage and frequency of an automated induction generator are being manipulated using a novel technique | Artificial neural network | |
| Sumathi et al. [90] | 2015 | The backpropagation feeder for an artificial neural network has been designed to estimate the UPFC output variables for different loading conditions in a 24-bus Indian extra-high-voltage power system | Backpropagation feedforward artificial neural network | |
| Kanata et al. [91] | 2018 | Improving the power system quality to measure the precise control variable value. Improved power system quality | Particle swarm optimization and hybrid artificial neural network | |
| Abdalla et al. [92] | 2016 | Avoiding voltage violations in contingencies of power systems by adjusting coordinated PID controller parameters | Genetic algorithm | |
| Chung et al. [93] | 2008 | This study provides control systems for coordinating numerous microgrid generators for grid-connected and autonomous modding, utilizing interfaces of inverter type | Particle swarm optimization | |
| Power system stability control | Yousuf et al. [94] | 2021 | The electricity system automation ensures restoration, error diagnostic, management and network security | Fuzzy logic, genetic algorithm |
| Aakula et al. [95] | 2020 | This article uses optimization, a heuristic-based swarm intelligence method, to obtain enough reactive energy to improve bus voltages | Particle swarm optimization | |
| Karthikeyan et al. [96] | 2017 | In this paper, fuzzy-PID-based STATCOM is proposed to increase the stability of the energy system under failure conditions | Fuzzy logic | |
| Sallama et al. [97] | 2014 | Here, stability is received in the shortest amount of time and with the least amount of disruption | Neuro-fuzzy system and particle swarm optimization | |
| Chen et al. [98] | 2018 | To enhance the current communication network to meet low latency and high economic requirements, a perfect planning method is presented | Genetic algorithm | |
| Torkzadeh et al. [99] | 2014 | The genetic algorithm, the GA-FLC (optimized fuzzy logic controller), is used to damp down low-frequency oscillations | Genetic algorithm and fuzzy logic | |
| Dutta et al. [100] | 2017 | A common solution required for the power stabilizer to compress low-frequency oscillation (PSS) | Ant colony optimization | |
| Nam et al. [101] | 2018 | A comparison of different existing simulation models showed that, compared with existing optimization models, the projected method showed superior results for power system stability control | Kringing models | |
| Miraftabzadeh et al. [102] | 2021 | Advance machine learning can make work much easier in power system stability than conventional methods | Artificial neural network, genetic algorithm | |
| Load frequency control | Safari et al. [103] | 2021 | A microgrid (MG) is proposed for load frequency control (LFC) on the island, just like the model eves in this work contributes to the LFC system | Particle swarm optimization-based artificial neural network |
| Joshi et al. [104] | 2020 | For the first time, a novel control plan for the LFC of a hydro–hydro vitality framework has been developed based on joint efforts of the fuzzy logic control and PSO algorithm-built design of PID, resulting in an FLPSO-PID | Fuzzy logic with particle swarm optimization | |
| Nguyen et al. [105] | 2018 | The suggested constrained particle swarm optimization technique compares ACO with an assessment of its efficiency in the thermal interconnection system | Ant colony optimization | |
| Balamurugan [106] | 2018 | Its primary goal is to balance the generation and demand of a power system | Fuzzy logic | |
| Otani et al. [107] | 2017 | The control of a recurrent neural network is proposed for efficient use of the introduced storage battery | Artificial neural networks | |
| Kuma et al. [108] | 2020 | The planned solar and wind power is being utilized to analyse load frequencies, mitigate frequency changes, guarantee stability in the GM power system, to respond to the unexpected surge in demand for charging power and PI controllers by non-renewable sources | Recurrent neural network | |
| Arora et al. [109] | 2020 | A comparison of many existing simulation models showed that, compared with existing optimization models, the projected method showed superior results for smart grid control of frequency problems | Genetic algorithm, particle swarm optimization |
| Applications . | Reference . | Year . | Objective . | Technique(s) . |
|---|---|---|---|---|
| Voltage control | Kothakotla et al. [87] | 2021 | Integrated–proportional–derivative controller designed to control the isolated microgrid grid voltage | Genetic algorithm |
| Wang et al. [88] | 2020 | A multi-agent grid control system driven by data using an ANN method | Artificial neural network | |
| Zidani et al. [89] | 2018 | The voltage and frequency of an automated induction generator are being manipulated using a novel technique | Artificial neural network | |
| Sumathi et al. [90] | 2015 | The backpropagation feeder for an artificial neural network has been designed to estimate the UPFC output variables for different loading conditions in a 24-bus Indian extra-high-voltage power system | Backpropagation feedforward artificial neural network | |
| Kanata et al. [91] | 2018 | Improving the power system quality to measure the precise control variable value. Improved power system quality | Particle swarm optimization and hybrid artificial neural network | |
| Abdalla et al. [92] | 2016 | Avoiding voltage violations in contingencies of power systems by adjusting coordinated PID controller parameters | Genetic algorithm | |
| Chung et al. [93] | 2008 | This study provides control systems for coordinating numerous microgrid generators for grid-connected and autonomous modding, utilizing interfaces of inverter type | Particle swarm optimization | |
| Power system stability control | Yousuf et al. [94] | 2021 | The electricity system automation ensures restoration, error diagnostic, management and network security | Fuzzy logic, genetic algorithm |
| Aakula et al. [95] | 2020 | This article uses optimization, a heuristic-based swarm intelligence method, to obtain enough reactive energy to improve bus voltages | Particle swarm optimization | |
| Karthikeyan et al. [96] | 2017 | In this paper, fuzzy-PID-based STATCOM is proposed to increase the stability of the energy system under failure conditions | Fuzzy logic | |
| Sallama et al. [97] | 2014 | Here, stability is received in the shortest amount of time and with the least amount of disruption | Neuro-fuzzy system and particle swarm optimization | |
| Chen et al. [98] | 2018 | To enhance the current communication network to meet low latency and high economic requirements, a perfect planning method is presented | Genetic algorithm | |
| Torkzadeh et al. [99] | 2014 | The genetic algorithm, the GA-FLC (optimized fuzzy logic controller), is used to damp down low-frequency oscillations | Genetic algorithm and fuzzy logic | |
| Dutta et al. [100] | 2017 | A common solution required for the power stabilizer to compress low-frequency oscillation (PSS) | Ant colony optimization | |
| Nam et al. [101] | 2018 | A comparison of different existing simulation models showed that, compared with existing optimization models, the projected method showed superior results for power system stability control | Kringing models | |
| Miraftabzadeh et al. [102] | 2021 | Advance machine learning can make work much easier in power system stability than conventional methods | Artificial neural network, genetic algorithm | |
| Load frequency control | Safari et al. [103] | 2021 | A microgrid (MG) is proposed for load frequency control (LFC) on the island, just like the model eves in this work contributes to the LFC system | Particle swarm optimization-based artificial neural network |
| Joshi et al. [104] | 2020 | For the first time, a novel control plan for the LFC of a hydro–hydro vitality framework has been developed based on joint efforts of the fuzzy logic control and PSO algorithm-built design of PID, resulting in an FLPSO-PID | Fuzzy logic with particle swarm optimization | |
| Nguyen et al. [105] | 2018 | The suggested constrained particle swarm optimization technique compares ACO with an assessment of its efficiency in the thermal interconnection system | Ant colony optimization | |
| Balamurugan [106] | 2018 | Its primary goal is to balance the generation and demand of a power system | Fuzzy logic | |
| Otani et al. [107] | 2017 | The control of a recurrent neural network is proposed for efficient use of the introduced storage battery | Artificial neural networks | |
| Kuma et al. [108] | 2020 | The planned solar and wind power is being utilized to analyse load frequencies, mitigate frequency changes, guarantee stability in the GM power system, to respond to the unexpected surge in demand for charging power and PI controllers by non-renewable sources | Recurrent neural network | |
| Arora et al. [109] | 2020 | A comparison of many existing simulation models showed that, compared with existing optimization models, the projected method showed superior results for smart grid control of frequency problems | Genetic algorithm, particle swarm optimization |
| Applications . | Reference . | Year . | Objective . | Technique(s) . |
|---|---|---|---|---|
| Voltage control | Kothakotla et al. [87] | 2021 | Integrated–proportional–derivative controller designed to control the isolated microgrid grid voltage | Genetic algorithm |
| Wang et al. [88] | 2020 | A multi-agent grid control system driven by data using an ANN method | Artificial neural network | |
| Zidani et al. [89] | 2018 | The voltage and frequency of an automated induction generator are being manipulated using a novel technique | Artificial neural network | |
| Sumathi et al. [90] | 2015 | The backpropagation feeder for an artificial neural network has been designed to estimate the UPFC output variables for different loading conditions in a 24-bus Indian extra-high-voltage power system | Backpropagation feedforward artificial neural network | |
| Kanata et al. [91] | 2018 | Improving the power system quality to measure the precise control variable value. Improved power system quality | Particle swarm optimization and hybrid artificial neural network | |
| Abdalla et al. [92] | 2016 | Avoiding voltage violations in contingencies of power systems by adjusting coordinated PID controller parameters | Genetic algorithm | |
| Chung et al. [93] | 2008 | This study provides control systems for coordinating numerous microgrid generators for grid-connected and autonomous modding, utilizing interfaces of inverter type | Particle swarm optimization | |
| Power system stability control | Yousuf et al. [94] | 2021 | The electricity system automation ensures restoration, error diagnostic, management and network security | Fuzzy logic, genetic algorithm |
| Aakula et al. [95] | 2020 | This article uses optimization, a heuristic-based swarm intelligence method, to obtain enough reactive energy to improve bus voltages | Particle swarm optimization | |
| Karthikeyan et al. [96] | 2017 | In this paper, fuzzy-PID-based STATCOM is proposed to increase the stability of the energy system under failure conditions | Fuzzy logic | |
| Sallama et al. [97] | 2014 | Here, stability is received in the shortest amount of time and with the least amount of disruption | Neuro-fuzzy system and particle swarm optimization | |
| Chen et al. [98] | 2018 | To enhance the current communication network to meet low latency and high economic requirements, a perfect planning method is presented | Genetic algorithm | |
| Torkzadeh et al. [99] | 2014 | The genetic algorithm, the GA-FLC (optimized fuzzy logic controller), is used to damp down low-frequency oscillations | Genetic algorithm and fuzzy logic | |
| Dutta et al. [100] | 2017 | A common solution required for the power stabilizer to compress low-frequency oscillation (PSS) | Ant colony optimization | |
| Nam et al. [101] | 2018 | A comparison of different existing simulation models showed that, compared with existing optimization models, the projected method showed superior results for power system stability control | Kringing models | |
| Miraftabzadeh et al. [102] | 2021 | Advance machine learning can make work much easier in power system stability than conventional methods | Artificial neural network, genetic algorithm | |
| Load frequency control | Safari et al. [103] | 2021 | A microgrid (MG) is proposed for load frequency control (LFC) on the island, just like the model eves in this work contributes to the LFC system | Particle swarm optimization-based artificial neural network |
| Joshi et al. [104] | 2020 | For the first time, a novel control plan for the LFC of a hydro–hydro vitality framework has been developed based on joint efforts of the fuzzy logic control and PSO algorithm-built design of PID, resulting in an FLPSO-PID | Fuzzy logic with particle swarm optimization | |
| Nguyen et al. [105] | 2018 | The suggested constrained particle swarm optimization technique compares ACO with an assessment of its efficiency in the thermal interconnection system | Ant colony optimization | |
| Balamurugan [106] | 2018 | Its primary goal is to balance the generation and demand of a power system | Fuzzy logic | |
| Otani et al. [107] | 2017 | The control of a recurrent neural network is proposed for efficient use of the introduced storage battery | Artificial neural networks | |
| Kuma et al. [108] | 2020 | The planned solar and wind power is being utilized to analyse load frequencies, mitigate frequency changes, guarantee stability in the GM power system, to respond to the unexpected surge in demand for charging power and PI controllers by non-renewable sources | Recurrent neural network | |
| Arora et al. [109] | 2020 | A comparison of many existing simulation models showed that, compared with existing optimization models, the projected method showed superior results for smart grid control of frequency problems | Genetic algorithm, particle swarm optimization |
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