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Probabilistic Load Flow Evaluation for Electric Power System Operation and Control

Abstract第5页
Chapter 1 Introduction第13-20页
    1.1 Why energy important and need preservation of energy sources第13页
    1.2 Probabilistic Load Flow第13-16页
    1.3 Methods for probabilistic load flow analysis第16-17页
    1.4 Purpose of this research第17-18页
    1.5 Main Focus in this research work第18页
    1.6 Organization of the Chapters第18-20页
Chapter 2 Preliminaries第20-30页
    2.1 Statistical Properties第20-23页
        2.1.1 Mean第20页
        2.1.2 Mode第20页
        2.1.3 Standard deviation第20-21页
        2.1.4 Expected value第21页
        2.1.5 Variance第21页
        2.1.6 Coefficient of skewness第21-22页
        2.1.7 Coefficient of kurtosis第22页
        2.1.8 Random Variables第22-23页
    2.2 Dependence measurement methods第23-24页
        2.2.1 Pearson correlation coefficient第23页
        2.2.2 Rank Correlation Coefficient第23页
        2.2.3 Maltivariate Joint distribution第23-24页
        2.2.4 Copula theory第24页
    2.3 Probability distribution第24-26页
        2.3.1 Normal distribution第25页
        2.3.2 Exponential distribution第25页
        2.3.3 Rectangular distribution第25页
        2.3.4 Gamma distribution第25-26页
        2.3.5 Weibull distribution第26页
    2.4 Sampling techniques第26-28页
        2.4.1 Box-Muller sampling第27-28页
        2.4.2 Latin hypercube sampling第28页
    2.5 Deterministic Load Flow Analysis第28-30页
Chapter 3 Probabilistic Power Flow Model to Study Uncertainty in Power System Network第30-43页
    3.1 Introduction第30-31页
    3.2 Point Estimation Method第31-32页
    3.3 Formulation of PEM第32-33页
    3.4 2m Concentration Scheme第33-34页
    3.5 2m+1 Concentration Scheme第34页
    3.6 Skewness第34-35页
    3.7 Kurtosis第35页
    3.8 Flow chart for PEM第35-36页
    3.9 P.M.Anderson 9-bus test system第36-37页
    3.10 Results and Discussion第37-42页
        3.10.1 2m Concentration Scheme第37-39页
        3.10.2 2m+1 Concentration Scheme第39-42页
    3.11 Summary第42-43页
Chapter 4 Probabilistic Load Flow Analysis for Power System Network Evaluation Considering Uncertainty with Generation and Dependent Loads第43-56页
    4.1 Introduction第43-44页
    4.2 Monte Carlo Simulation第44-45页
    4.3 Box-Muller algorithm and its detailed description第45-47页
    4.4 Performance Analysis of the Box-Muller Method第47-55页
        4.4.1 IEEE 14-bus test system第48-52页
        4.4.2 IEEE 118-bus test system第52-55页
    4.5 Summary第55-56页
Chapter 5 Probabilistic Power Flow Analysis for the Uncertainty Analysis of Power System Network Based upon the Monte Carlo Simulation and Point Estimation Method第56-70页
    5.1 Introduction第56-58页
    5.2 Monte Carlo Simulation第58-60页
    5.3 Point Estimation Method第60-61页
    5.4 Performance Evaluation of MCS and PEM第61-65页
        5.4.1 Case Ⅰ: Deterministic Power Flow Analysis第61-63页
        5.4.2 Case Ⅱ:MCS Probabilistic Power Flow第63-64页
        5.4.3 Case Ⅲ:PEM Probabilistic Power Flow第64-65页
    5.5 Results and discussions第65-68页
    5.6 Summary第68-70页
Chapter 6 Probabilistic Small Signal Stability Analysis Model by Considering the Uncertainties with Nodal Loads, Transmission Lines, and Generators第70-80页
    6.1 Introduction第70-72页
    6.2 Monte Carlo Method第72-76页
        6.2.1 Modelling of Random Variables第73页
        6.2.2 Flow Chart of Monte Carlo Method第73-74页
        6.2.3 SSS requirements and Proposed PSSSA第74-76页
    6.3 PST 16-Machine Test System第76页
    6.4 Simulation Results第76-79页
    6.5 Summary第79-80页
Chapter 7 Probabilistic Computational Model for Correlated Wind Farms with Copula Theory第80-94页
    7.1 Introduction第80-81页
    7.2 Probability distribution modelling第81-84页
        7.2.1 Dependence measurement methods第81-82页
        7.2.2 Copula theory第82-83页
        7.2.3 Probability distribution modelling第83-84页
    7.3 Improve Latin hypercube sampling第84-85页
    7.4 Computational Procedure for MCS-SRS-C and MCS-ILHS第85页
    7.5 Accuracy evaluation of IRV第85-88页
    7.6 Performance analysis of the MCS-SRS-C and MCS-ILHS第88-93页
        7.6.1 14-bus test system第89-91页
        7.6.2 118-bus test system第91-92页
        7.6.3 Results and discussion第92-93页
    7.7 Summary第93-94页
Chapter 8 Conclusion第94-97页
References第97-103页
Acknowlagement第103-104页
Author Biologharphy第104页

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