Economic dispatch with valve point effect using various PSO techniques

Inhaltsverzeichnis (Table of Contents)

• Chapter One
  • Introduction
  • Literature survey
  • Methodology in brief
  • Organization of the Report
• Chapter Two
  • Introduction to Economic Dispatch
    • Generator operating cost:
  • Mathematical Analysis
    • Analytical method
    • Gradient method
  • Valve Point Loading
  • Problem Formulation
• Chapter Three
  • Evolutionary Algorithm
  • Ant Colony Optimization
  • Particle Swarm Optimization
    • Over view of Particle Swarm Optimization
    • Implementation of PSO method in ED
    • Advantages of PSO
• Chapter Four
  • Introduction to various PSO techniques
  • Adaptive Particle Swarm Optimization
    • The procedure of Adaptive PSO
  • Chaotic Particle Swarm Optimization
    • CPSO methods for EP
  • New Particle Swarm Optimization
• Chapter Five
  • Introduction
    • Organization of the result
  • The Test Bus System in Detail
  • Results obtained by using the PSO
    • Parameters
    • Overall Report
  • Results obtained by using the APSO
    • Parameters
    • Overall Report
  • Results obtained by using the CPSO
    • Parameters
    • Overall Report
  • Results obtained by using the NPSO
    • Parameters
    • Overall Report
  • Analysis of four PSO techniques
  • Comparison of graphs
• Chapter Six
  • Analysis of different pso techniques

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This project report investigates the application of various particle swarm optimization (PSO) techniques to the problem of economic power dispatch, particularly in the context of valve-point effects. The objective is to find optimal solutions that minimize the total operating cost of power generation while considering the complex constraints imposed by valve-point effects. The report delves into four modified PSO techniques, namely Adaptive PSO, Chaotic PSO, and New PSO, and compares their performance to traditional PSO. Key themes and topics covered in this report include:

• Economic power dispatch
• Valve-point effects
• Particle swarm optimization (PSO) techniques
• Adaptive PSO, Chaotic PSO, and New PSO
• Comparison of PSO algorithms

Zusammenfassung der Kapitel (Chapter Summaries)

• Chapter One: This chapter provides an introduction to the problem of economic power dispatch with valve-point effects, outlines the literature review, summarizes the methodology used, and presents the organization of the report.
• Chapter Two: This chapter delves into the concepts of economic dispatch, generator operating cost, and valve-point loading. It also presents the mathematical analysis of economic dispatch problems, including analytical and gradient methods.
• Chapter Three: This chapter introduces evolutionary algorithms, ant colony optimization, and particle swarm optimization (PSO) as potential solutions for economic dispatch problems. It also discusses the advantages of PSO and its implementation in economic dispatch.
• Chapter Four: This chapter focuses on various PSO techniques, including Adaptive PSO, Chaotic PSO, and New PSO. It explores the procedures and methods employed by each technique.
• Chapter Five: This chapter presents the results obtained by applying the different PSO techniques (PSO, APSO, CPSO, NPSO) to a test bus system. It analyzes the parameters and overall performance of each technique and compares their effectiveness.

Schlüsselwörter (Keywords)

This report explores key concepts and terms related to economic power dispatch with valve-point effects, particularly focusing on the application and comparison of various PSO techniques. The primary keywords include economic dispatch, valve-point effects, particle swarm optimization (PSO), Adaptive PSO, Chaotic PSO, New PSO, and optimization algorithms. The report aims to provide a comprehensive overview of the different PSO techniques and their effectiveness in solving economic power dispatch problems, particularly in the context of valve-point effects.