基于混合整数线性规划的微电网能量管理系统

发布时间：2021-03-06 23:37

　　电力系统中分布式发电（DG）的不断增长导致了微电网应用的不断扩展。一般而言,微电网系统中包含分布式发电机组、储能设备和可控负载等元件,并能够在并网和孤岛等模式下运行。微电网的经济运行是通过能量管理系统实现的,该系统可以优化调度分布式发电和储能设备,并持续平衡供需。本文提出了一种在并网微电网中DG的最优机组组合和经济调度方案。混合整数线性规划（MILP）用于实现最优资源调度模型,目的是通过储能设备和热电联产（CHP）发电机组等资源经济调度来最小化系统总体运行成本。文中所提出的能量管理系统,还考虑了 DG机组运行、电池充电/放电限制和充电状态（SOC）限制等约束条件,基于算例进行了仿真验证。仿真结果表明,通过使用所提出的策略对能量存储系统和CHP机组进行最优调度,有效地降低了系统的运行成本。文中所提出的微电网能量管理系统,可以有效的为微电网的高效运行提供支撑。 

【文章来源】：华北电力大学(北京)北京市 211工程院校 教育部直属院校

【文章页数】：142 页

【学位级别】：硕士

【文章目录】：
摘要
Abstract
Acknowledgement
CHAPTER 1. INTRODUCTION
    1.1. Research Background
        1.1.1. Distributed Generation
        1.1.2. Microgrid
        1.1.3. Energy Management Systems
            1.1.3.1. Generation Power Forecasting
            1.1.3.2. Electricity Demand Forecasting
            1.1.3.3. Optimal Scheduling of Resources
    1.2. Background of Energy in Africa
        1.2.1. Africa's Current Electricity Access
        1.2.2. Productive Use of Microgrids in Africa
        1.2.3. Energy Potentials of Sub-Sahara Africa
        1.2.4. Review on Development of Energy Mix in Africa
        1.2.5. Demand and Necessity of MG to Africa
    1.3. Research Motivation and Challenges
    1.4. Scope and Objectives of the Thesis
    1.5. Significance of the Thesis
    1.6. Organization of the Thesis
CHAPTER 2. REVIEW OF LITERATURES ON EMS AND MGS
    2.1. Distributed Generation
    2.2. Microgrid
    2.3. Optimal Control and EMS for MGs
    2.4. Optimization and Forecasting for Energy Management of Microgrids
    2.5. Related Previous Research and Development Works
    2.6. Comparative Summary
CHAPTER 3. CONFIGURATION AND COMPONENTS OF MICROGRIDS
    3.1. Microgrid Configuration
    3.2. Microgrid Components
        3.2.1. Wind Turbines
            A. Fixed Speed Wind turbines
            B. Variable-Speed Wind Turbines
        3.2.2. PV Solar Systems
        3.2.3. Microturbines
        3.2.4. Energy Storage Systems
        3.2.5. Other Components
CHAPTER 4. OPTIMAL ENERGY MANAGEMENT FOR MGS
    4.1. Introduction
    4.2. Power Output Modelling of Components
        4.2.1. Wind Turbine
        4.2.2. PV System
        4.2.3. Microturbine
        4.2.4. Energy Storage System
        4.2.5. Main Utility Grid
    4.3. EMS Optimization Problem Formulation
    4.4. Result and Discussions
CHAPTER 5. CONCLUSIONS AND FUTURE WORKS
    5.1. Conclusions
    5.2. Future Works
CHAPTER 6. REFERENCES



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