You are previewing International Journal of Energy Optimization and Engineering (IJEOE) Volume 3, Issue 1.
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International Journal of Energy Optimization and Engineering (IJEOE) Volume 3, 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:

  • Generation Scheduling Based on Two-Level Optimization Problem
  • Models of Imperfect Competition in Analysis of Siberian Electricity Market
  • PMU Placement Based on Heuristic Methods, when Solving the Problem of EPS State Estimation
  • Optimal Training of Artificial Neural Networks to Forecast Power System State Variables
  • Intelligent Computing on the Basis of Cognitive and Event Modeling, and Its Application in Energy Security Research
  • Thermal Properties Study of a Solar Water Heater Tank with a Mantle Exchanger
  • Optimal Operational Strategy for PV/Wind-Diesel Hybrid Power Generation System with Energy Storage

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Special Issue on Mathematical and Heuristic Modeling and Optimization of Energy Systems, Part 2
  5. Generation Scheduling Based on Two-Level Optimization Problem
    1. ABSTRACT
    2. INTRODUCTION
    3. NOTATION
    4. MATHEMATICAL STATEMENT OF THE OPTIMIZATION PROBLEM
    5. CONCLUSION
    6. ACKNOWLEDGMENT
    7. REFERENCES
  6. Models of Imperfect Competition in Analysis of Siberian Electricity Market
    1. ABSTRACT
    2. INTRODUCTION
    3. DESCRIPTION OF MODELS
    4. MODELING OF INTERACTION IN THE SIBERIAN ELECTRICITY MARKET
    5. CONCLUSION
    6. REFERENCES
  7. PMU Placement Based on Heuristic Methods, when Solving the Problem of EPS State Estimation
    1. ABSTRACT
    2. INTRODUCTION
    3. ELECTRIC POWER SYSTEM STATE ESTIMATION ON THE BASIS OF TRADITIONAL MEASUREMENTS AND PMU MEASUREMENTS
    4. DEVELOPMENT OF STATE ESTIMATION METHODS USING PMU MEASUREMENTS
    5. PMU PLACEMENT CRITERIA FOR SOLVING THE STATE ESTIMATION PROBLEM
    6. SIMULATION RESULTS
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. ENDNOTES
  8. Optimal Training of Artificial Neural Networks to Forecast Power System State Variables
    1. ABSTRACT
    2. INTRODUCTION
    3. REVIEW OF THE SHORT-TERM FORECASTING MODELS
    4. OPTIMIZED TRAINING OF ARTIFICIAL NEURAL NETWORK
    5. HYBRID GENETIC ALGORITHM DESCRIPTION
    6. EXPERIMENTAL STUDIES
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. ENDNOTES
  9. Intelligent Computing on the Basis of Cognitive and Event Modeling, and Its Application in Energy Security Research
    1. ABSTRACT
    2. INTRODUCTION
    3. KNOWLEDGE SPACE FOR INTELLIGENT COMPUTING
    4. COGNITIVE MODELING
    5. EVENT MODELING
    6. A TWO-LEVEL INFORMATION TECHNOLOGY FOR RESEARCH ON ENERGY SECURITY PROBLEM AND INTELLIGENT IT ENVIRONMENT
    7. CONCLUSION
    8. REFERENCES
  10. Thermal Properties Study of a Solar Water Heater Tank with a Mantle Exchanger
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SOLAR WATER HEATER WITH MANTLE HEAT EXCHANGER
    4. 3. THEORETICAL MODEL
    5. 4. NUMERICAL SIMULATION OF HEAT TRANSFER OF TANK WITH MANTLE HEAT EXCHANGER
    6. 5. RESULTS AND DISCUSSIONS
    7. 6. CONCLUSION
    8. REFERENCES
  11. Optimal Operational Strategy for PV/Wind-Diesel Hybrid Power Generation System with Energy Storage
    1. ABSTRACT
    2. INTRODUCTION
    3. METHODOLOGY
    4. CONTROL ALGORITHM FOR POWER MANAGEMENT OF HYBRID SYSTEM
    5. RESULTS AND DISCUSSION
    6. ECONOMIC AND ENVIRONMENTAL ANALYSIS
    7. CONCLUSION
    8. REFERENCES
  12. Call For Articles