scholarly journals Particle Swarm Optimization Technique for Equalization of EV Load with Variable Wind Power Generation

2016 ◽  
Vol 9 (37) ◽  
Author(s):  
B. Leelambika ◽  
P. Linga Reddy
Keyword(s):  
Power Generation ◽  
Particle Swarm Optimization ◽  
Wind Power ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Wind Power Generation ◽  
Swarm Optimization ◽  
Particle Swarm Optimization Technique ◽  
Variable Wind

scholarly journals A Relative Analysis of Genetic Algorithm and Binary Particle Swarm Optimization for Finding the Optimal Cost of Wind Power Generation in Tirumala Area of India

2021 ◽  
Vol 40 ◽  
pp. 03016
Author(s):  
Prasun Bhattacharjee ◽  
Rabin K. Jana ◽  
Somenath Bhattacharya
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Particle Swarm Optimization ◽  
Wind Power ◽  
Greenhouse Gas Emission ◽  
Particle Swarm ◽  
Wind Power Generation ◽  
Binary Particle Swarm Optimization ◽  
Swarm Optimization ◽  
Optimal Cost

Although India presently holds the global fourth-biggest instated Wind Power Generation (WPG) capability, it necessitates advancing more rapidly to satisfy the rising energy requirement of its evolving economy while restraining the consequential greenhouse gas emission. To accomplish the impressive target of setting up 140 GW WPG competence by 2030 as proposed by the Government of India, a greater number of financially viable wind farms are required to function all over the country without further ado. This paper focuses on finding the optimal cost for WPG in the Tirumala area of Andhra Pradesh. Genetic Algorithm (GA) and Binary Particle Swarm Optimization (BPSO) have been employed concurrently with four randomly chosen terrain conditions. The research outcomes demonstrate the superior capability of BPSO to attain the most optimal cost of energy.

Hybrid Evolutionary Particle Swarm Optimization for the Coordination of Wind and Thermal Generation Dispatch

2014 ◽  
Vol 573 ◽  
pp. 684-689
Author(s):  
K. Dhayalini ◽  
S. Sathiyamoorthy ◽  
Asir Rajan C. Christober
Keyword(s):  
Power Generation ◽  
Particle Swarm Optimization ◽  
Wind Power ◽  
Particle Swarm ◽  
Wind Power Generation ◽  
Total Production ◽  
Thermal Generation ◽  
Swarm Optimization ◽  
Optimal Dispatch ◽  
Generation Dispatch

Development of better wind and thermal coordination dispatch is necessary to determine the optimal dispatch scheme that can integrate wind power reliably and efficiently. In this paper hybrid Evolutionary Programming (EP) and Particle Swarm Optimization (PSO) approach is utilized to coordinate the wind and thermal generation dispatch and to minimize the total production cost considering wind power generation and valve effect of thermal units. Numerical studies have been performed for three different test systems, i.e., six, thirteen and forty generating unit systems. The simulation results demonstrate the effectiveness of the proposed approach and shows the effect of wind power generation in reducing the total fuel.

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