Risk Assessment Of Power Systems: Models, Methods, and Applications

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Transportable Energy Storage for More Resilient Distribution Systems With Multiple Microgrids (2019, methodology): “Customer interruption cost is used to distinguish critical loads [37]–[39].”
Risk Assessment of Cascading Outages: Methodologies and Challenges (2012, background): “Monte Carlo approaches lend themselves to parallel computing methods, which is an area of ongoing power systems research and practice [48]–[51].”
Reliability Analysis of Phasor Measurement Unit Considering Data Uncertainty (2012, methodology): “The mean of unsuccessful switching probability and its upper and lower bounds can be estimated using the binomial distribution as follows [9]:”
Reliability-Based Incremental PMU Placement (2014, methodology): “By denoting and as the reliability (success) and failure probability of a component (either a PMU or a line) and using the state enumeration method [23], the probability of a system state is given by”
Microgrid-Based Co-Optimization of Generation and Transmission Planning in Power Systems (2013, background): “The objective (14) is to minimize the load curtailment for balancing purposes in the case of system component outages [38].”