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基于认知无线电的智能电网通信网络设计与可靠性分析

致谢第5-6页
Abstract in Chinese第6-8页
Abstract第8-10页
1 Introduction第18-33页
    1.1 Electricity Grid第20-24页
        1.1.1 Flaws in Conventional Grid第22-24页
    1.2 Smart Grid第24-26页
        1.2.1 Smart grid definitions第25-26页
    1.3 Smart Grid Conceptual Model Standards第26-28页
        1.3.1 National Institute of Standards and Technology (NIST)第26-28页
    1.4 Conventional Grid v/s Smart Grid第28-31页
        1.4.1 Economic Benefits of Smart Grid第30-31页
    1.5 Organization of the Thesis第31-33页
        1.5.1 Introduction第31页
        1.5.2 Design of CR-based Smart Grid Communication Network第31-32页
        1.5.3 Reliability analysis and redundancy design of AMI第32页
        1.5.4 Simulation Results第32页
        1.5.5 Conclusion and Future Work第32-33页
2 Design of CR-based SG Communication Network第33-69页
    2.1 Literature Review第33-40页
        2.1.1 Literature Review- Communication Infrastructure and SG第33-36页
        2.1.2 Literature Review- Smart Grid and Cognitive Radio第36-40页
    2.2 Smart Grid Classification第40-42页
        2.2.1 Smart Infrastructure System第40页
        2.2.2 Smart Management System第40-41页
        2.2.3 Smart Protection System第41-42页
    2.3 Smart Grid Communication Architecture第42-45页
        2.3.1 Home Area Network (HAN)第43-44页
        2.3.2 Neighborhood Area Network (NAN)第44页
        2.3.3 Wide Area Network(WAN)第44-45页
    2.4 Design Challenges and Requirements第45-51页
        2.4.1 Communication Challenges第46-47页
        2.4.2 Data rate第47页
        2.4.3 Scalability第47页
        2.4.4 Spectrum scarcity第47-48页
        2.4.5 Smart grid applications第48页
        2.4.6 Integration of distributed and renewable power sources第48页
        2.4.7 Regulatory Issues第48页
        2.4.8 Security mechanism第48-49页
        2.4.9 Latency第49页
        2.4.10 Reliability第49-51页
    2.5 Wired Communication Technologies第51-54页
        2.5.1 Power line communications (PLC)第51页
        2.5.2 Optical communications第51-52页
        2.5.3 Digital subscriber lines (DSL)第52-54页
    2.6 Wireless Communication Technologies第54-60页
        2.6.1 ZigBee第55页
        2.6.2 Wi-Fi (IEEE 802.11)第55-56页
        2.6.3 IEEE 802.22(WRAN using TVWS)第56-58页
        2.6.4 IEEE 802.16-based networks(WiMAX)第58页
        2.6.5 Cellular communications第58-60页
        2.6.6 Satellite communications第60页
    2.7 Next Generation Technologies-Cognitive Radio第60-63页
        2.7.1 Cognitive Radio Network Architecture第62-63页
    2.8 CR-based SG Communication Network第63-68页
        2.8.1 Communication in HAN第64页
        2.8.2 Communication in NAN第64-65页
        2.8.3 Communication in WAN第65-66页
        2.8.4 Features of proposed solution第66-68页
    2.9 Summary第68-69页
3 Reliability Analysis and Redundancy Design of AMI第69-88页
    3.1 Structure of AMI第70-74页
        3.1.1 SMART METERS第71-72页
        3.1.2 HAN Gateway第72-73页
        3.1.3 Data Concentrator第73页
        3.1.4 Meter Data Management System (MDMS)第73-74页
    3.2 Benefits of AMI第74-75页
    3.3 Communication Technologies for AMI第75页
    3.4 Issues in communication/networking第75-77页
        3.4.1 Optimization第76页
        3.4.2 Scalability第76-77页
    3.5 Different Architectures of AMI第77-79页
    3.6 Reliability Analysis of AMI第79页
    3.7 Demand Response in AMI第79-82页
    3.8 Redundancy Optimization of Data Concentrators第82-83页
        3.8.1 Reliability/Availability Metrices第83页
    3.9 Mathematical Modelling第83-87页
        3.9.1 Probability density function (PDF)第84页
        3.9.2 Concentrator Reliability第84-85页
        3.9.3 Economic loss by demand-estimation error第85-86页
        3.9.4 Total Network cost第86-87页
    3.10 Summary & Contribution第87-88页
4 Simulation Results第88-101页
    4.1 Genetic Algorithm第88-91页
        4.1.1 Genetic representation第89页
        4.1.2 Initialization of GA第89页
        4.1.3 Fitness function第89-90页
        4.1.4 Density function第90-91页
        4.1.5 Selection第91页
    4.2 Data Used第91-92页
    4.3 Genetic Algorithm Parameters第92-93页
    4.4 Demand-error cost v/s No. of users per concentrator第93-94页
    4.5 Optimization of Total Network Cost第94-99页
        4.5.1 Reliability Analysis(800 users/service area)第94-96页
        4.5.2 Scalability Analysis(10000 users/service area)第96-99页
    4.6 Comparison of two scenarios第99-100页
    4.7 Summary第100-101页
5 Conclusion and Future Works第101-105页
    5.1 Conclusion第101-102页
    5.2 Future Works第102-105页
        5.2.1 Adding cognitive intelligence in the device第103页
        5.2.2 Demand side management with Vehicle-2-Grid(V2G)第103-105页
6 References第105-109页
Author Profile and Research Achievements Obtained during the Study for A Master'sDegree第109-111页
Dataset for the Master's Thesis第111-112页

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