图书简介
Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic aspects of optimization in power systems, such as optimal power flow, economic dispatch, unit commitment and power quality optimization are covered, as are issues relating to distributed generation sizing, allocation problems, scheduling of renewable resources, energy storage, power reserve based problems, efficient use of smart grid capabilities, and protection studies in modern power systems. The book brings together innovative research outcomes, programs, algorithms and approaches that consolidate the present state and future challenges for power.
Section A-Optimization: Methods and Algorithms 1. Introduction: Optimization-A need or a must 2. Conventional optimization methods and algorithms 3. Metaheuristic optimization methods and algorithms Section B-Mathematical Modeling of Power System Structures 4. Mathematical modeling of power systems 5. Mathematical modeling of distributed generations 6. Mathematical modeling of HVDC 7. Mathematical modeling of FACTS Section C-Power Systems: Classic Aspects of Optimization 8. Optimal power flow optimization problems 9. Economic dispatch optimization problems 10. Unit commitment optimization problems 11. Power quality optimization problems Section D-Power Systems: Recent Aspects of Optimization 12. Distributed generation: Sizing and allocation problems 13. Renewable resources: Maximum power point tracking problems 14. Schedule of renewable sources optimization problems 15. Energy storage and power reserve problems 16. Smart grid optimization problems 17. Protection optimization problems in modern power systems Section E-Power Systems: Challenges and Decision-making 18. Energy Management in modern power systems 19. Active/Reactive-power management in modern power systems 20. Power system economics 21. Decision-making problems in new power systems planning 22. Power systems of the future: Opportunities and challenges
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