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Full Description
Uncertainties in Modern Power Systems combines several aspects of uncertainty management in power systems at the planning and operation stages within an integrated framework. This book provides the state-of-the-art in electric network planning, including time-scales, reliability, quality, optimal allocation of compensators and distributed generators, mathematical formulation, and search algorithms. The book introduces innovative research outcomes, programs, algorithms, and approaches that consolidate the present status and future opportunities and challenges of power systems. The book also offers a comprehensive description of the overall process in terms of understanding, creating, data gathering, and managing complex electrical engineering applications with uncertainties.
This reference is useful for researchers, engineers, and operators in power distribution systems.
Contents
1. Modern power systems: opportunities and challenges2. Uncertainty modeling techniques in power systems3. Demand side management in modern power systems4. Reliability assessment of modern power systems with high penetration of renewables5. Probabilistic optimal power flow problem6. Optimal reactive power planning of distribution systems with high penetration of renewables7. Power system state estimation8. Load and electricity price forecasting problem9. DG investment and allocation in active distribution networks10. Evaluation of DG impacts on distribution networks11. Energy dispatch of renewables12. Expansion planning of distribution networks13. Expansion planning of transmission networks14. Power quality in modern power systems15. Probabilistic hosting capacity decision making challenges16. Distributed energy storage allocation problem17. Decision making support for secured power systems operation18. Optimal sizing and coordination of EV charging stations19. Service restoration in distribution network20. Big data in the smart power systems and IoT applications21. Case studies
