Flower pollination algorithm for economic dispatch problems with non-smooth cost function

Dhayalini, K.; Siva, A. Subramaniya

doi:10.1109/icpedc47771.2019.9036499

Cited by 5 publications

(1 citation statement)

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“…Optimization approaches are frequently chosen to tune variables of devices in solving power system stability problems. Some new algorithms, such as Particle Swarm Optimization [15][16][17], Gravitational SearchAlgorithm [18][19][20], Firefly [21][22][23], Whale Optimization Algorithm [24][25][26], Ant Colony Optimization [27][28][29], Flower Pollination Algorithm [30][31][32], Moth Flame Optimization [33][34][35] and Bat Algorithm [36][37][38] have also gained attention because of their efficiency. These algorithms are inspired from nature with the characteristic of the investigated biological system.…”

Section: Introductionmentioning

confidence: 99%

Optimal Energy Scheduling Strategy in Power System using Bat Algorithm Optimization Approach

2020

IJETER

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This paper presents an energy scheduling strategy for power system using Bat Algorithm (BA) optimization technique. BA is inspired by the natural behaviour of microbats, that of echolocation. The paper focuses on the minimization of the total power and cost needed according to the power demand and limits of power generation. Two systems, the IEEE 9 bus with 3 generator system and IEEE 30 bus with 6 generator system, are studied and simulated using Matlab. The performance of BA is compared with evolutionary programming (EP) technique. The simulation results indicate that BA performs better than EP in determining the optimal power generation valuewith minimum generation cost.

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Section: Introductionmentioning

confidence: 99%

Optimal Energy Scheduling Strategy in Power System using Bat Algorithm Optimization Approach

2020

IJETER

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Smart Security System for Cash Dispensing Machine with Theft Protection

Siva¹,

Vinothini²,

Pavithra³

2023

Lecture Notes in Mechanical Engineering

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Anticipation of Battery Condition Using Internet of Things

Siva¹,

Parthasarathy²,

Gijipriya³

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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Nowadays batteries are becoming so popular because of its feature of storing electric energy enables portability of electric energy even in places where electric transmission lines cannot be laid effortlessly. They are playing a significant role in reaching the objective of universal access to environment friendly, reliable & affordable electricity services. But they are unable to serve their capacity because of their lack of proper monitoring & maintenance. In order to make the battery smarter & safer a system of remote monitoring of battery for determining the battery condition by measuring various parametric quantities of battery & to publicize the condition of battery, thereby maintaining the battery to serve its full capacity as well as to prevent the system from unexpected shutdown.

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Flower pollination algorithm for economic dispatch problems with non-smooth cost function

Cited by 5 publications

References 1 publication

Optimal Energy Scheduling Strategy in Power System using Bat Algorithm Optimization Approach

Optimal Energy Scheduling Strategy in Power System using Bat Algorithm Optimization Approach

Smart Security System for Cash Dispensing Machine with Theft Protection

Anticipation of Battery Condition Using Internet of Things

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