The injury profile of an Australian specialist policing unit

This study investigated the injuries sustained by an Australian specialist police division. Injury records spanning four-years were analyzed. The role being performed when the injury occurred, injury cause, body part injured, and injury-related costs were quantified. The percentage of personnel injured multiple times was documented. One hundred and thirty eight personnel reported injuries, 58 of these on multiple occasions. This resulted in 229 injuries and 76 claims being raised. Half of the injuries occurred during operational policing tasks, however training activities accounted for >30% of injuries. The most common injury was strain/sprain, and upper body injuries were 2.5-times more common than lower-body or torso injuries. 1107 shifts were lost, and injuries cost the organization $487,159 (Australian Dollars) over the four-year period. The injury costs (both financial and in manpower) may prompt policy makers to review the current training and post-injury rehabilitation protocols.

Integration of renewable generation uncertainties into stochastic unit commitment considering reserve and risk: a comparative study

The uncertainties of renewable energy have brought great challenges to power system commitment, dispatches and reserve requirement. This paper presents a comparative study on integration of renewable generation uncertainties into SCUC (stochastic security-constrained unit commitment) considering reserve and risk. Renewable forecast uncertainties are captured by a list of PIs (prediction intervals). A new scenario generation method is proposed to generate scenarios from these PIs. Different system uncertainties are considered as scenarios in the stochastic SCUC problem formulation. Two comparative simulations with single (E1: wind only) and multiple sources of uncertainty (E2: load, wind, solar and generation outages) are investigated. Five deterministic and four stochastic case studies are performed. Different generation costs, reserve strategies and associated risks are compared under various scenarios. Demonstrated results indicate the overall costs of E2 is lower than E1 due to penetration of solar power and the associated risk in deterministic cases of E2 is higher than E1. It implies the superimposed effect of uncertainties during uncertainty integration. The results also demonstrate that power systems run a higher level of risk during peak load hours, and that stochastic models are more robust than deterministic ones.