With increasing apprehensions about environment and energy independence problems,more and more renewable energy resources such as wind and solar are anticipated to be incorporated into the future power grid.The balance between demand and supply could be troubled by the integration of renewable generation on large scale,because renewable energy resources have intermittent and inadequate dispatch-ability.To uphold grid reliability,outdated approaches include adding more operating assets such as fa... 

【文章來源】：華北電力大學(xué)(北京)北京市 211工程院校 教育部直屬院校

【文章頁數(shù)】：67 頁

【學(xué)位級別】：碩士

【文章目錄】：
Abstract
Chapter 1 Introduction
    1.1 Thesis Overview
        1.1.1 What is Day Ahead Scheduling
        1.1.2 What is Real-time Scheduling
        1.1.3 Collections from Thesis
Chapter 2 Receding Horizon Optimal Scheduling
    2.1 Lyapunov Enhancement
        2.1.1 An Introduction to Queueing Procedure
        2.1.2 Countless Possibility Optimization Problematic
        2.1.3 Drift+Drawbacks
        2.1.4 Real-Time Algorithm Design
        2.1.5 Energy Storing Requests
        2.1.6 Phases for Scheduling
        2.1.7 Descriptive Setup
Chapter 3 Real-Time Scheduling Using Storage and Stable Loads
    3.1 Framework and Problem Models
    3.2 Standard Load Equation Model
    3.3 Disseminated Renewable Model
    3.4 Disseminated Energy Storing
        3.4.1 Smart Grid Equations
        3.4.2 Power Equilibrium Model
        3.4.3 Operating Price (Cost)
        3.4.4 Problematic Design
        3.4.5 A Real-Time Scheduling Based On lyapunov Technique
    3.5 Mockups Result
        3.5.1 Procedure for Simulations
        3.5.2 Benchmark Model
        3.5.3 Realistic Circumstances
        3.5.4 Benchmark Results
Chapter 4 Real-Time Scheduling Using Storage,Stable & curtailable loads
    4.1 Model For Curtailed Laod
        4.1.1 Operating Price (Cost)
        4.1.2 Delinquent Design through Mixed Load Demand Model
        4.1.3 Simulated Queue Model
        4.1.4 A Real Time Optimal Scheduling using Lyapunov Method
        4.1.5 Mockups Results
        4.1.6 Procedure for Simulation
        4.1.7 Benchmark Model
        4.1.8 Realistic Circumstances
        4.1.9 Mixed load
        4.1.10 Mockups Results
Chapter 5 Conclusion
References
Acknowledgements



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