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Full Description
This book discusses real applications of soft computing (SC) in power systems. These SC techniques, inspired by the human mind and biological behavior, have proven to be excellent tools to overcome the challenges faced in power systems and related areas. The techniques are robust and provide low-cost solutions while also offering an effective solution for studying and modeling the behavior of renewable energy generation, operation of grid-connected renewable energy systems, and sustainable decision-making among alternatives. The tolerance of SC techniques to imprecision, uncertainty, partial truth, and approximation makes them highly useful alternatives to conventional techniques.
The rapid growth in SC techniques plays an important role in powerful representation, modeling paradigms and optimization mechanisms for solving power system issues such as power quality, reactive power control, oscillation and stability problems, renewable energy resource eval-uation, design of energy efficiency systems, economic load dispatch problems or very different energy system applications in smart grids.
Contents
1. Introduction 2. Soft Computing Techniques and Their Applications in Power Systems 3. Load Flow Solution Algorithm for AC-DC Radial Distribution Systems in the Presence of Distributed Generation 4. Load Flow Studies in a Power System 5. Novel Hybrid Swarm Intelligence and Cuckoo Search Based Microgrid EMS for Optimal Energy Scheduling 6. Topological Investigations of Grid Integrated Renewable Energy Systems for Power Quality Improvement 7. HVDC System Issues and Related Solutions using Soft Computing 8. Smart Grid: A Cyber-Physical Infrastructure and Security 9. Protection Challenges During Power Swing and Soft Computing Solutions 10. Conclusion
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