電力系統(tǒng)中分布式發(fā)電（DG）的不斷增長(zhǎng)導(dǎo)致了微電網(wǎng)應(yīng)用的不斷擴(kuò)展。一般而言,微電網(wǎng)系統(tǒng)中包含分布式發(fā)電機(jī)組、儲(chǔ)能設(shè)備和可控負(fù)載等元件,并能夠在并網(wǎng)和孤島等模式下運(yùn)行。微電網(wǎng)的經(jīng)濟(jì)運(yùn)行是通過能量管理系統(tǒng)實(shí)現(xiàn)的,該系統(tǒng)可以優(yōu)化調(diào)度分布式發(fā)電和儲(chǔ)能設(shè)備,并持續(xù)平衡供需。本文提出了一種在并網(wǎng)微電網(wǎng)中DG的最優(yōu)機(jī)組組合和經(jīng)濟(jì)調(diào)度方案。混合整數(shù)線性規(guī)劃（MILP）用于實(shí)現(xiàn)最優(yōu)資源調(diào)度模型,目的是通過儲(chǔ)能設(shè)備和熱電聯(lián)產(chǎn)（CHP）發(fā)電機(jī)組等資源經(jīng)濟(jì)調(diào)度來最小化系統(tǒng)總體運(yùn)行成本。文中所提出的能量管理系統(tǒng),還考慮了 DG機(jī)組運(yùn)行、電池充電/放電限制和充電狀態(tài)（SOC）限制等約束條件,基于算例進(jìn)行了仿真驗(yàn)證。仿真結(jié)果表明,通過使用所提出的策略對(duì)能量存儲(chǔ)系統(tǒng)和CHP機(jī)組進(jìn)行最優(yōu)調(diào)度,有效地降低了系統(tǒng)的運(yùn)行成本。文中所提出的微電網(wǎng)能量管理系統(tǒng),可以有效的為微電網(wǎng)的高效運(yùn)行提供支撐。 

【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)】：142 頁

【學(xué)位級(jí)別】：碩士

【文章目錄】：
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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