Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES).
Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance.
This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises.
This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students.
1. Chapter 1. Introduction to Renewable Energy Systems - p. 1 2. Chapter 2. Introduction to Optimization - p. 27 3. Abstract - p. 27 4. 2.1 Introduction - p. 27 5. 2.2 Formulation of Optimization Problem - p. 28 6. 2.3 Solution Techniques for Unconstrained Optimization - p. 37 7. 2.4 Solution Techniques for Constrained Optimization and Relevant Applications to Renewable Energy Systems - p. 41 8. 2.5 Conclusion and Discussion - p. 66 9. References - p. 67 10. Chapter 3. Optimal Procurement of Contingency and Load Following Reserves by Demand Side Resources Under Wind-Power Generation Uncertainty - p. 75 11. Abstract - p. 75 12. 3.1 Introduction - p. 75 13. 3.2 Mathematical Model - p. 77 14. 3.3 Case Studies - p. 90 15. 3.4 Conclusions - p. 106 16. Appendix A : 24-Bus System Test System Data - p. 106 17. Nomenclature - p. 110 18. References - p. 114 19. Chapter 4. Optimum Bidding of Renewable Energy System Owners in Electricity Markets - p. 117 20. Abstract - p. 117 21. 4.1 Renewable Energy System Owners in Electricity Markets - p. 117 22. 4.2 Price-Taker Models—MultiStage Stochastic Programming Approach - p. 122 23. 4.3 Price-Maker Models—MPEC Approach - p. 140 24. 4.4 Summary and Conclusion - p. 156 25. 4.5 Appendix: IEEE Reliability Test System - p. 157 26. References - p. 157 27. Chapter 5. Impacts of Accurate Renewable Power Forecasting on Optimum Operation of Power System - p. 159 28. Chapter 6. Optimum Transmission System Expansion Offshore Considering Renewable Energy Sources - p. 177 29. Abstract - p. 177 30. 6.1 Introduction - p. 177 31. 6.2 Classification of TEP Formulations - p. 178 32. 6.3 Transmission Expansion Planning in Europe - p. 183 33. 6.4 Review of TEP Formulations - p. 185 34. 6.5 Algorithms and Models for Solving TEP - p. 205 35. 6.6 Numerical Simulation - p. 207 36. 6.7 Conclusions and Future Research - p. 222 37. References - p. 224 38. Chapter 7. Optimum Sizing and Siting of Renewable-Energy-based DG Units in Distribution Systems - p. 233 39. Abstract - p. 233 40. 7.1 Introduction - p. 233 41. 7.2 Renewable-Energy-Based DG Models - p. 234 42. 7.3 Effects of DGs on Distribution Networks - p. 243 43. 7.4 Optimal Placement - p. 257 44. 7.5 Case Study - p. 267 45. 7.6 Conclusions - p. 274 46. References - p. 274 47. Chapter 8. Optimum Design of Small-Scale Stand-Alone Hybrid Renewable Energy Systems - p. 279 48. Index - p. 307
Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES).
Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance.
This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises.
This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students.
1. Chapter 1. Introduction to Renewable Energy Systems - p. 1 2. Chapter 2. Introduction to Optimization - p. 27 3. Abstract - p. 27 4. 2.1 Introduction - p. 27 5. 2.2 Formulation of Optimization Problem - p. 28 6. 2.3 Solution Techniques for Unconstrained Optimization - p. 37 7. 2.4 Solution Techniques for Constrained Optimization and Relevant Applications to Renewable Energy Systems - p. 41 8. 2.5 Conclusion and Discussion - p. 66 9. References - p. 67 10. Chapter 3. Optimal Procurement of Contingency and Load Following Reserves by Demand Side Resources Under Wind-Power Generation Uncertainty - p. 75 11. Abstract - p. 75 12. 3.1 Introduction - p. 75 13. 3.2 Mathematical Model - p. 77 14. 3.3 Case Studies - p. 90 15. 3.4 Conclusions - p. 106 16. Appendix A : 24-Bus System Test System Data - p. 106 17. Nomenclature - p. 110 18. References - p. 114 19. Chapter 4. Optimum Bidding of Renewable Energy System Owners in Electricity Markets - p. 117 20. Abstract - p. 117 21. 4.1 Renewable Energy System Owners in Electricity Markets - p. 117 22. 4.2 Price-Taker Models—MultiStage Stochastic Programming Approach - p. 122 23. 4.3 Price-Maker Models—MPEC Approach - p. 140 24. 4.4 Summary and Conclusion - p. 156 25. 4.5 Appendix: IEEE Reliability Test System - p. 157 26. References - p. 157 27. Chapter 5. Impacts of Accurate Renewable Power Forecasting on Optimum Operation of Power System - p. 159 28. Chapter 6. Optimum Transmission System Expansion Offshore Considering Renewable Energy Sources - p. 177 29. Abstract - p. 177 30. 6.1 Introduction - p. 177 31. 6.2 Classification of TEP Formulations - p. 178 32. 6.3 Transmission Expansion Planning in Europe - p. 183 33. 6.4 Review of TEP Formulations - p. 185 34. 6.5 Algorithms and Models for Solving TEP - p. 205 35. 6.6 Numerical Simulation - p. 207 36. 6.7 Conclusions and Future Research - p. 222 37. References - p. 224 38. Chapter 7. Optimum Sizing and Siting of Renewable-Energy-based DG Units in Distribution Systems - p. 233 39. Abstract - p. 233 40. 7.1 Introduction - p. 233 41. 7.2 Renewable-Energy-Based DG Models - p. 234 42. 7.3 Effects of DGs on Distribution Networks - p. 243 43. 7.4 Optimal Placement - p. 257 44. 7.5 Case Study - p. 267 45. 7.6 Conclusions - p. 274 46. References - p. 274 47. Chapter 8. Optimum Design of Small-Scale Stand-Alone Hybrid Renewable Energy Systems - p. 279 48. Index - p. 307
