You are previewing International Journal of Energy Optimization and Engineering (IJEOE) Volume 4, Issue 1.
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International Journal of Energy Optimization and Engineering (IJEOE) Volume 4, Issue 1

Book Description

The International Journal of Energy Optimization and Engineering (IJEOE) publishes global research in the areas of energy optimization and engineering. This journal provides relevant theoretical frameworks and the latest empirical research findings in the areas of energy systems and hybrid intelligent optimization. This interdisciplinary journal examines and encourages research within energy optimization and engineering fields, including novel meta-heuristics optimization techniques such as fuzzy logic, neural networks, evolutionary algorithms, mathematical programming, pattern search, particle swarm optimization, ant colony optimization, and hybrid optimization in a variety of engineering, science, business, and energy systems of real world practical application problems.

This issue contains the following articles:

  • Adaptive Data Fusion for Energy Efficient Routing in Wireless Sensor Network
  • Transient Stability Constrained Optimal Power Flow Using Teaching Learning Based Optimization
  • Average Model of Dual Active Bridge Interfacing Ultra-Capacitor in Electrical Vehicle
  • Application of Support Vector Network for Power System Static Security Evaluation
  • A Comparative Study of BAT and Firefly Algorithms for Optimal Placement and Sizing of Static VAR Compensator for Enhancement of Voltage Stability
  • Optimal Location of TCSC Using Opposition Teaching Learning Based Optimization
  • Load Frequency Control of Interconnected Power System Using Teaching Learning Based Optimization

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Adaptive Data Fusion for Energy Efficient Routing in Wireless Sensor Network
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RESEARCH BACKGROUND
    4. 3. MOTIVATION
    5. 4. ASSUMPTIONS
    6. 5. CREATION OF NODE STRUCTURE
    7. 6. ROUTE CONSTRUCTION PROCESS OF MODIFIED ADAPTIVE FUSION STEINER TREE (M-AFST)
    8. 7. SIMULATION ENVIRONMENT
    9. 8. RESULTS AND DISCUSSION
    10. 9. SIMULATION RESULTS
    11. 10. TOTAL COST AND DELAY
    12. 11. CLUSTERING IN SENSOR NETWORKS
    13. 12. AVERAGE ENERGY COST
    14. 13. AVERAGE PER BIT ENERGY COST
    15. 14. CONCLUSION
    16. REFERENCES
  5. Transient Stability Constrained Optimal Power Flow Using Teaching Learning Based Optimization
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MATHEMATICAL PROBLEM FORMULATION
    4. 3. TRANSIENT STABILITY ASSESSMENT
    5. 4. TEACHING LEARNING BASED OPTIMIZATION (TLBO)
    6. 5. TLBO ALGORITHM APPLIED TO TSCOPF PROBLEM
    7. 6. RESULTS AND DISCUSSION
    8. 7. CONCLUSION
    9. REFERENCES
  6. Average Model of Dual Active Bridge Interfacing Ultra-Capacitor in Electrical Vehicle
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. TOPOLOGY OF CONVERTER
    4. 3. STEADY STATE STUDY
    5. 4. SMALL SIGNAL AND TRANSFER FUNCTIONS
    6. 5. CONTROLLER DESIGN
    7. 6. SIMULATION RESULTS
    8. 7. CONCLUSION
    9. REFERENCES
  7. Application of Support Vector Network for Power System Static Security Evaluation
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SUPPORT VECTOR NETWORK
    4. 3. INPUT-OUTPUT DATA STRUCTURE
    5. 4. RESULTS AND DISCUSSION
    6. 5. CONCLUSION
    7. REFERENCES
  8. A Comparative Study of BAT and Firefly Algorithms for Optimal Placement and Sizing of Static VAR Compensator for Enhancement of Voltage Stability
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. STATIC VAR COMPENSATOR
    4. 3. PROBLEM FORMULATION
    5. 4. BAT ALGORITHM
    6. 5. FIREFLY ALGORITHM
    7. 6. RESULTS AND DISCUSSION
    8. 7. CONCLUSION
    9. REFERENCES
  9. Optimal Location of TCSC Using Opposition Teaching Learning Based Optimization
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MATHEMATICAL PROBLEM FORMULATION
    4. 3. OVERVIEW OF TEACHING–LEARNING-BASED OPTIMIZATION
    5. 4. OPPOSITION BASED LEARNING
    6. 5. OTLBO ALGORITHM APPLIED TO OPF
    7. 6. SIMULATION RESULTS AND DISCUSSIONS
    8. 7. CONCLUSION
    9. REFERENCES
  10. Load Frequency Control of Interconnected Power System Using Teaching Learning Based Optimization
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MATHEMATICAL PROBLEM FORMULATION
    4. 3. ALGORITHM
    5. 4. TLBO ALGORITHM APPLIED TO LFC
    6. 5. SIMULATION RESULTS AND DISCUSSIONS
    7. 6. CONCLUSION
    8. REFERENCES
  11. Call For Articles