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.

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.

Ant Colony Algorithm for the Coordination of Wind and Thermal Generation Dispatch

2013 ◽  
Vol 773 ◽  
pp. 132-138
Author(s):  
K. Dhayalini ◽  
S. Sathiyamoorthy ◽  
Asir Rajan C. Christober
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Ant Colony Algorithm ◽  
Economic Dispatch ◽  
Wind Power Generation ◽  
Ant Colony ◽  
Total Production ◽  
Thermal Generation ◽  
Generator System ◽  
Generation Dispatch

This paper presents the coordination of wind and thermal generation dispatch using Ant Colony Approach. Wind power is unpredictable and intermittent. As wind power penetrations increase in current power systems, its impact to conventional thermal unit should be investigated. The objective of this paper is the development of better wind thermal coordination economic dispatch which is necessary to determine the optimal dispatch scheme that can integrate wind power reliably and efficiently. In this paper Ant Colony Algorithm (ACA) is utilized to coordinate the wind and thermal generation dispatch and to minimize the total production cost in the economic dispatch considering wind power generation and valve effect of thermal units. A ten generator system with one wind power plant is tested to validate the effectiveness of the proposed model and method. Different simulations with and without wind power production are simulated. Simulation result shows the effect of wind power generation in reducing total fuel cost.

Wind Power Generation Prediction by Particle Swarm Optimization Algorithm and RBF Neural Network

2012 ◽  
Vol 433-440 ◽  
pp. 2099-2102 ◽  
Author(s):  
Rui Fang Liu
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Particle Swarm Optimization ◽  
Radial Basis Function ◽  
Wind Power ◽  
Basis Function ◽  
Rbf Neural Network ◽  
Wind Power Generation ◽  
Swarm Optimization ◽  
Hidden Layer

Wind power generation trend prediction is the important to make the plan on the development of wind power generation. Wind power generation prediction by particle swarm optimization algorithm and RBF neural network in the paper. As the connection weights between the hidden layer and output layer, the centers of radial basis function in hidden layer and the widths of radial basis function in hidden layer have a great influence on the prediction results of RBF neural network,particle swarm optimization which has a great global optimization ability is used to optimize the three parameters including the connection weights between the hidden layer and output layer, the centers of radial basis function in hidden layer and the widths of radial basis function in hidden layer. It is indicated that the hybrid model of particle swarm optimization algorithm and RBF neural network has better prediction ability than BP neural network.

Performance Comparison of GA and PSO on Wind and Thermal Generation Dispatch

2014 ◽  
Vol 984-985 ◽  
pp. 759-763
Author(s):  
K. Dhayalini ◽  
S. Sathiyamoorthy ◽  
Christober Asir C. Rajan
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Pso Algorithm ◽  
Test System ◽  
Performance Comparison ◽  
Thermal Generation ◽  
Optimal Dispatch ◽  
Generation Dispatch

Due to the enormous increase in the power system load the conventional power generation plants never satisfy the power demand. So the power generating sectors turn into renewable energy sources. Wind power is a promising renewable energy source. It is necessary to determine the optimal dispatch scheme that can integrate wind power reliably and efficiently. In this paper GA and PSO algorithm are used to perform ED considering wind power generation and valve effect of thermal unit. The proposed method is validated with three and six unit test system. The results show the performance comparison of the two methods for solving the wind thermal dispatch problem.

Sign in / Sign up

Export Citation Format

Share Document