A Comparative analysis of DSM based autonomous hybrid microgrid using PSO and SCA

Bhuyan, Mausri; Das, Dulal Chandra; Barik, Amar Kumar

doi:10.1109/tensymp46218.2019.8971155

Cited by 13 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, to find the most appropriate algorithm, especially for the optimization of control parameters of

h μ G s

, a comparison needs to be made considering objective function pertinent to the system model. Some popular optimization techniques have been considered here for observing the converging behavior of the curves obtained from GA, 11 GOA, 12 SSA, 34 GWO, 35 PSO, 30 SCA, 29 MBA, 8 CA, 32 YSGA, 33 SHO 13 and also with proposed GLFOA optimization technique.…”

Section: Selection Of Data and Methodology Usedmentioning

confidence: 99%

“…In the previous works, different meta-heuristic algorithms were used to obtain the control parameters related to frequency control of microgrid/hybrid microgrid. Genetic Algorithm (GA), 11 Sine Cosine Algorithm (SCA), 29 Particle Swarm Optimization (PSO), 30,31 Grasshopper Optimization Algorithm (GOA), 12 Cultural Algorithm (CA), 32 Yellow Saddle Goatfish Algorithm (YSGA), 33 Salp Swarm Algorithm (SSA), 34 Grey Wolf Optimization (GWO), 35 Selfish Herd Optimization (SHO), 13 Mind Blast Algorithm (MBA), 8 and so forth, were found satisfactory for such applications. However, a novel optimization algorithm called Green Leaf-hopper Flame optimization algorithm (GLFOA), based on green leafhopper behavior could provide better performance and worth exploring for the pertinent frequency control work of hμGs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel Green Leaf‐hopper Flame optimization algorithm for competent frequency regulation in hybrid microgrids

Sahoo

Barik

Das

2022

Int J Numerical Modelling

Self Cite

View full text Add to dashboard Cite

A proficient frequency regulation scheme has been explored in this work for two interconnected hybrid microgrids (hμGs) comprised of multiple renewable energy sources, like solar-thermal units, wind turbine generator units, solar photovoltaic, biogas turbine, biodiesel generator, and storage units. A new optimization algorithm has been formulated to replicate the photo-tactic swarming behavior of green leafhoppers named Green Leaf-hopper Flame optimization algorithm (GLFOA) to tune the system controllers (proportional integral (PI)/proportional derivative (PD)/proportional integral derivative (PID) controllers). The superiority of GLFOA is confirmed by comparing the performance with several popular optimization algorithms. To assess the stability of the hμGs several rigorous tests have been conducted considering availability/nonavailability of renewable resources, gusty wind, real-time variation of solar radiation and wind velocities along with the random load disturbances. GLFOA tuned PID controllers were found to be the best to contain the frequency deviations. The maximum peak overshoot, undershoot, and settling time obtained by GLFOA tuned PID controllers are 0.01051 Hz, À0.00764 Hz, and 14.15 s, respectively, which are within an acceptable limit. Further, there is an improvement of 0.15% in the performance index obtained by GLFOA over its counterpart obtained by grey wolf optimization, confirming the superiority of the GLFOA tuned controller.

show abstract

“…However, to find the most appropriate algorithm, especially for the optimization of control parameters of

h μ G s

Section: Selection Of Data and Methodology Usedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel Green Leaf‐hopper Flame optimization algorithm for competent frequency regulation in hybrid microgrids

Sahoo

Barik

Das

2022

Int J Numerical Modelling

Self Cite

View full text Add to dashboard Cite

show abstract

“…A comparative analysis of an autonomous hybrid microgrid (AHM) system with controllable loads for demand-side management (DSM) using SCA based PID controller was presented in the work of Bhuyan et al (2019). The performance of SCA based PID controller was validated using three different scenarios of the renewable source and load variations and results showed that SCA based PID controller gives better performance compared to PSO based PID controller in most of the scenarios.…”

Section: Optimal Parameters Controlmentioning

confidence: 99%

A comprehensive survey of sine cosine algorithm: variants and applications

et al. 2021

View full text Add to dashboard Cite

Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in 2016, SCA has attracted great attention from researchers and has been widely used to solve different optimization problems in several fields. This attention is due to its reasonable execution time, good convergence acceleration rate, and high efficiency compared to several well-regarded optimization algorithms available in the literature. This paper presents a brief overview of the basic SCA and its variants divided into modified, multi-objective, and hybridized versions. Furthermore, the applications of SCA in several domains such as classification, image processing, robot path planning, scheduling, radial distribution networks, and other engineering problems are described. Finally, the paper recommended some potential future research directions for SCA.

show abstract

“…Most of the above methods are used for an isolated system. In [116], DRS is also implemented to control the frequency of the interconnected areas with non-conventional energy resources [128][129][130][131][132][133][134][135][136], where the application of DRS for concurrent frequency and voltage stabilization is established in [137].…”

Section: Energy Management and Demand Response In Hpsmentioning

confidence: 99%

“…As a result, the HPS are controlled using various traditional controls such as Proportional (P), Proportional-Integral (PI), and Proportional-Integral-Derivative (PID), as defined in [45,48,50,67,68,74,100,102,104,109,116,117,[138][139][140][141][142][143]. Other controllers, like the H∞ controller, A Two Degree of Freedom (2DOF) PI/PID controllers, fractional-order (FO) based controllers, and double stage controller, are often included in several of the cases discussed in [129,130,[143][144][145][146][147][148][149][150][151][152][153] as listed in Table 3 below. Figure 2 shows the overall control strategy for the hybrid power system along with conventional and non-conventional renewable energy sources.…”

Section: Different Controllers Adopted In Hpsmentioning

confidence: 99%

Isolated and Interconnected Multi-Area Hybrid Power Systems: A Review on Control Strategies

et al. 2021

Self Cite

View full text Add to dashboard Cite

Concerned with the increasing greenhouse gases in the atmosphere due to fossil fuels, the entire world is focusing on electricity generation through renewable energy resources. The most advantageous aspect of the distributed renewable sources is to provide the electricity to remote, scattered and the deprived rural areas by developing the hybrid power system at the smaller scale where power transmission through grid extension is not viable due to some economical, technical or environmental constraints for building new transmission lines. An accurate and adequate control strategy becomes inevitable to uphold the smooth operation by restraining the frequency and voltage deviation within its limit ensuring the highest degree of reliability of hybrid power system to provide an adequate power quality. In this paper, a comprehensive review of different control strategies adopted in isolated and interconnected multi-area hybrid power systems is presented.

show abstract

A Comparative analysis of DSM based autonomous hybrid microgrid using PSO and SCA

Cited by 13 publications

References 10 publications

A novel Green Leaf‐hopper Flame optimization algorithm for competent frequency regulation in hybrid microgrids

A novel Green Leaf‐hopper Flame optimization algorithm for competent frequency regulation in hybrid microgrids

A comprehensive survey of sine cosine algorithm: variants and applications

Isolated and Interconnected Multi-Area Hybrid Power Systems: A Review on Control Strategies

Contact Info

Product

Resources

About