Economic Operation of Smart Micro-Grid

2022 ◽  
pp. 1213-1230
Author(s):  
Baseem Khan ◽  
Pawan Singh
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Comparative Analysis ◽  
Complex Problem ◽  
Optimal Operation ◽  
Swarm Optimization ◽  
Economic Operation ◽  
Heuristic Techniques ◽  
Differential Evaluation ◽  
Micro Grid

Presently, economic operation of micro-grid is a major concern in smart grid environment. This is a very complex problem, which can be solved with the help of various meta-heuristic techniques. Therefore, this chapter provides a comparative analysis of four different renowned meta-heuristic techniques with reference to the problem of optimal operation of micro-grid (MG). Genetic algorithm (GA), particle swarm optimization (PSO), differential evaluation (DE), and firefly (FF) algorithm are utilized for this purpose.

Economic Operation of Smart Micro-Grid

2019 ◽  
pp. 330-346 ◽  
Author(s):  
Baseem Khan ◽  
Pawan Singh
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Comparative Analysis ◽  
Complex Problem ◽  
Optimal Operation ◽  
Swarm Optimization ◽  
Economic Operation ◽  
Heuristic Techniques ◽  
Differential Evaluation ◽  
Micro Grid

Presently, economic operation of micro-grid is a major concern in smart grid environment. This is a very complex problem, which can be solved with the help of various meta-heuristic techniques. Therefore, this chapter provides a comparative analysis of four different renowned meta-heuristic techniques with reference to the problem of optimal operation of micro-grid (MG). Genetic algorithm (GA), particle swarm optimization (PSO), differential evaluation (DE), and firefly (FF) algorithm are utilized for this purpose.

scholarly journals Optimal Operation Management in A Micro-Grid System Using Particle Swarm Optimization

2019 ◽  
Vol 1346 ◽  
pp. 012003
Author(s):  
Waleed Karrar ◽  
Zhang Zhen ◽  
Ebrahim Mohammed ◽  
Waleed M Ismael ◽  
Zhu Zengwei
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Optimal Operation ◽  
Operation Management ◽  
Grid System ◽  
Swarm Optimization ◽  
Micro Grid

scholarly journals Comparative Analysis of Genetic Algorithm with Swarm Intelligence Algorithms

2021 ◽  
pp. 493-497
Author(s):  
Ganga Devi D
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Comparative Analysis ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Traveling Salesman ◽  
Hard Problem ◽  
Ant Colony Optimization Algorithm ◽  
Swarm Optimization ◽  
Np Hard Problem

Traveling Salesman problem is the most recognized NP-hard problem for the researches in the field of computer science which focused on optimization. TSP finds the minimum travelling distance between given set of cities by traversing each of these cities only once except the starting city. This study discusses the salesman problem by presenting Particle Swarm Optimization Algorithm (PSO), Ant Colony Optimization algorithm (ACO) and Genetic Algorithm (GA) which intends to solve the problem. In this paper, these algorithms are applied on the benchmark TSP dataset Oliver 30. Also, the paper provides comparison between these algorithms and this comparison helps to choose the better algorithm.

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