Implementation of a hybrid cuckoo search and pattern search algorithm for frequency control of the microgrid system

Mishra, Siba Prasad; Nayak, Pratap Chandra; Prusty, Umesh Chandra; Prusty, Ramesh Chandra

doi:10.1109/icreisg49226.2020.9174393

Cited by 7 publications

(2 citation statements)

References 16 publications

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“…is will be minimized power flow in dense lines that have been loaded; as a result of this, load capacity is increased, minimal system failure, improved network reliability, and lower manufacturing costs [42].…”

Section: Flexible Ac Transmission Systems (Facts)mentioning

confidence: 99%

A Review on Frequency Stability Enhancement and Effective Energy Storage through Various Optimization Techniques

Mishra

Ralhan

Mohiddin

2022

Mobile Information Systems

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In recent years, the applicability of these DG units to electrical Microgrids (MGs) has grown rapidly, enabling them to contribute a large percentage of the installed generating capacity. However, the fluctuating and intermittent nature of renewable generation can adversely affect electric grid stability and operations. Conventionally, to overcome these problems, batteries are employed. Nevertheless, the quick charging and discharging cycle reduces the battery life span, resulting in an economic burden and environmental damage. To resolve these problems, short-term Distributed Energy Storage (DES) systems based on advanced technologies, such as Superconducting Magnetic Energy Storage (SMES) and Supercapacitor Energy Storage (SCES), are emerging as potential alternatives. A supplementary regulator which includes storing energy as well as a flexible AC transmission system is designed to boost the minute signal reliability. The precise optimization of multiple energy device characteristics is needed for efficient performance. The artificial intelligence methods and Particle Swarm Optimization (PSO) are used to obtain the optimum parameters in the micro-hydro system. This research examines the many Energy Storage Systems (ESSs) in power systems, particularly microgrids, and demonstrates their critical role in improving the quality of electrical systems. As a result, the ESSs were divided into several technologies based on the energy storage form and the most important technological features. In this review paper, the most common classifications are introduced/presented, summarized, and compared according to their characteristics.

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Section: Flexible Ac Transmission Systems (Facts)mentioning

confidence: 99%

A Review on Frequency Stability Enhancement and Effective Energy Storage through Various Optimization Techniques

Mishra

Ralhan

Mohiddin

2022

Mobile Information Systems

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“…In [26] a fuzzy controller is proposed to control the microgrid frequency in the presence of electric vehicles and it is claimed that the proposed robust controller can be used for different network topologies. In [27] a fuzzy controller optimized with PSO in [28] of the combination of PSO with artificial neural network and in [29] of fuzzy adaptive model predictive control in [30] of a robust firefly-swarm hybrid optimization in [31] a hybrid cuckoo search and pattern search algorithm is used to control the microgrid frequency.…”

Section: Introductionmentioning

confidence: 99%

Improving the Power Quality of Island Microgrid With Voltage and Frequency Control Based on a Hybrid Genetic Algorithm and PSO

et al. 2022

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An efficient power control technique for inverter-based distributed generation (DG) in an islanded microgrid is investigated in this work. The objective is to raise the caliber of the electricity pumped from network-connected DGs. The characteristics that are taken into consideration include voltage and frequency control, dynamic response, and steady-state response, particularly when the microgrid is operating in island mode or when there is a load change. The control method consists of an internal current control loop and an external power control loop based on a synchronous reference frame and a conventional PI controller. The power controller is designed based on voltage-frequency (VF) control. In addition, an intelligent search technique that combines Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is utilized to automatically modify power controller parameters. The control technique in this research is that the DG modifies its control mode to modify the system voltage and frequency when the microgrid is islanded or load conditions change. The simulation results in MATLAB/SIMULINK software show that the proposed control system has been able to improve the power quality well.

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Impact of Vehicle to Grid mode Electric Vehicles in standalone Microgrid for frequency regulation

Prusty

Nayak

Prusty

et al. 2020

2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)

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Implementation of a hybrid cuckoo search and pattern search algorithm for frequency control of the microgrid system

Cited by 7 publications

References 16 publications

A Review on Frequency Stability Enhancement and Effective Energy Storage through Various Optimization Techniques

A Review on Frequency Stability Enhancement and Effective Energy Storage through Various Optimization Techniques

Improving the Power Quality of Island Microgrid With Voltage and Frequency Control Based on a Hybrid Genetic Algorithm and PSO

Impact of Vehicle to Grid mode Electric Vehicles in standalone Microgrid for frequency regulation

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