Reliability and Risk Evaluation of Wind Integrated Power Systems (Reliable and Sustainable Electric Power and Energy Systems Management)

The world is witnessing a rapid growth in wind and other renewable based electricity generation due to environmental concerns associated with electricity generation from the conventional sources. Wind power behaves quite differently than conventional electric power generating units due to its intermittent and diffuse nature. System planners and operators face the variability and uncertainty of wind power availability, and therefore, encounter considerable challenges in making decisions to maintain the adequacy and security of wind integrated power systems. This volume intends to bring out the original research work of researchers from academia and industry in understanding, quantifying and managing the risks associated with the uncertainty in wind variability in order to plan and operate a modern power system integrated with a significant proportion of wind power generation with an acceptable level of reliability. Accurate modeling of wind power variability and proper incorporation of the models in reliability and risk evaluation is very important for the planning and operation of electric power systems, and will play a crucial role in defining the requirement of various types of resources and services, such as storage and ancillary services in power systems. Deals With Reliability And Evaluation Of Renewable Energy Based Electricity Generating Schemes. Quantifies The Wind Power Prediction For System Planning And Operation. Measures Capacity Benefit And Capacity Credit Of Wind And Solar Power Systems. With The Introduction Of Various Types Of Incentives For Renewable Sources Based Electricity Generation, The World Is Witnessing The Rapid Growth In Wind, Solar, Biomass And Other Renewable Based Generation. Unlike Electricity Generation Schemes Based On Conventional Energy Sources, Wind Power Systems Suffer From The Uncertainty Of Wind Availability And Variability Of The Wind Speed. In This Regard, This Volume Intends To Bring Out The Original Research Work Of Researchers From Academia And Industry In Understanding, Quantifying And Managing The Risks Associated With The Uncertainty In Wind Variability In Order To Plan And Operate A Modern Power System Integrated With Significant Proportion Of Wind Power Generation With An Acceptable Level Of Reliability. The Accurate Prediction Of Wind Speed Variability Is Very Important For Operation Of Electric Power System In Secure And Safe Environment And Will Play A Crucial Role In Defining The Requirement Of Various Types Of Services Such As Ancillary Services In The Power System. This May Also Affect The Electricity Market Strategy Of Conventional Resources Based Power Producers In The Power Market.-- Front Matter....Pages i-xiv Determining Capacity Credit for Wind Used in MISO Resource Adequacy....Pages 1-11 Wind Power Scenario Tree Tool: Development and Methodology....Pages 13-27 Probabilistic Ramp Detection and Forecasting for Wind Power Prediction....Pages 29-44 Application of Hourly Time Series Models in Day-ahead Wind Power Commitment....Pages 45-58 Probabilistic Guarantees for the N-1 Security of Systems with Wind Power Generation....Pages 59-73 Adequacy and Security Measures in Integrated Intermittent Renewable Generation Systems....Pages 75-89 Representation of Wind and Load Correlation in Non-Sequential Monte Carlo Reliability Evaluation....Pages 91-106 Composite Reliability Assessment of Power Systems with Large Penetration of Renewable Sources....Pages 107-128 ​Determining Capacity Credit for Wind Used in MISO Resource Adequacy Wind Power Scenario Tree Tool: Development and Methodology Probabilistic Ramp Detection and Forecasting for Wind Power Prediction Application of Hourly Time Series Models in Day Ahead Wind Power Commitment Probabilistic Guarantees for the N-1 Security of Systems with Wind Power Generation Adequacy and Security Measures in Integrated Intermittent Renewable Generation Representation of Wind and Load Correlation in Non-Sequential Monte Carlo Reliability Evaluation Composite Reliability Assessment of Power Systems with Large Penetration of Renewable Sources.