COMPREHENSIVE RISK ASSESSMENT FOR RELIABLE POWER SYSTEM OPERATION
Rising uncertainty in power systems due to different system and operational requirement has led to increasing risks in the system operation. There are growing concerns with the widely used methods, such as the N-1 criterion, to determine operating reserve requirement during unit commitment, and the economic load dispatch method to allocate regulating margin to respond to disturbances. These deterministic methods do not consider the stochastic nature of power systems and are often inadequate to maintain the required operating reliability. This thesis introduces a comprehensive operating risk index, designated as the committed generators’ response risk (CGRR) that can be used to maintain a specified level of operating reliability. An analytical probabilistic method to evaluate the CGRR is presented and validated using a Monte Carlo simulation technique. An application of the new index and the methodology is illustrated using the IEEE RTS system. The evaluation of CGRR provides a comprehensive operating risk of the scheduled generation until further assistance is available to the system and, therefore, helps operators in decision making for unit commitment and dispatch of the generating units to meet the projected load in the short future time. There is an increasing trend of wind energy integration to the existing power system for its environmental benefits. But the wind power can create more challenges to the modern power systems due to possible wind disturbances. To appropriately quantify the wind variability, a short term wind power disturbance model is proposed by utilizing conditional probability approach. The information on operating risk of a wind connected power system can help operators to act prudently while operating a power system in a reliable manner. The developed CGRR based operating strategies can be used to continuously track the system risk level and take necessary actions before the undesirable consequences occurs.
DegreeMaster of Science (M.Sc.)
DepartmentElectrical and Computer Engineering
CommitteeFaried, Sherif O.; Oguocha, Ikechukwuka N.; Teng, Daniel
Copyright DateJune 2017
Comprehensive generators' response risk, Operating risk, Unit commitment, Load dispatch, Regulating margin, Wind power disturbance