Gaining Insight into Actual and Preferred Sources of Coaching Knowledge

Previous research has suggested that current formal coach education programs do not fully meet the learning needs of coaches. The purpose of the present study was to examine actual and preferred sources of coaching knowledge for developmental-level coaches. Structured quantitative interviews were conducted with coaches (N = 44) from a variety of sports. Learning by doing, interaction with coaching peers, and formal coach education were the top actual sources of coaching knowledge. Discrepancies were found between actual and preferred usage of learning by doing, formal coach education, and mentoring. Coaches indicated they would prefer more guided learning and less self-directed learning by doing. Further, differences in preferred sources were identified between coaches wishing to move to an elite level versus coaches wishing to stay at a developmental level. Findings highlight the importance of both experiential and formally guided sources of coaching knowledge and the context-specific nature of coach learning.

Understanding Sources of Knowledge for Coaches of Athletes with Intellectual Disabilities

Background: Recent research has investigated development of coaching knowledge; however, less research has investigated the development of coaches who coach athletes with intellectual disabilities. The purpose of this study was to understand how coaches of athletes with intellectual disabilities gain their knowledge. Method Forty-five Special Olympics Canada coaches participated in structured telephone interviews investigating actual and ideal sources of coaching knowledge. Coaching knowledge was categorized across the dimensions of competition, organization and training. Results Coaches primarily learned by doing and by consulting with coaching peers. Information about ideal sources of coaching knowledge demonstrates that coaches would value structured coaching courses, learning from mentors and from administrative support, in addition to learning on their own and from peers. Discussion Results suggest that a broader approach to education should be incorporated into coaching athletes with intellectual disabilities. Recommendations for achieving such goals are provided.

An Islanding Detection Method based on Impedance Estimation and Grid Identification for Grid-Tie Distributed Power Generation Systems

Power system policies are broadly on track to escalate the use of renewable energy resources in electric power generation. Integration of dispersed generation to the utility network not only intensifies the benefits of renewable generation but also introduces further advantages such as power quality enhancement and freedom of power generation for the consumers. However, issues arise from the integration of distributed generators to the existing utility grid are as significant as its benefits. The issues are aggravated as the number of grid-connected distributed generators increases. Therefore, power quality demands become stricter to ensure a safe and proper advancement towards the emerging smart grid. In this regard, system protection is the area that is highly affected as the grid-connected distributed generation share in electricity generation increases. Islanding detection, amongst all protection issues, is the most important concern for a power system with high penetration of distributed sources. Islanding occurs when a portion of the distribution network which includes one or more distributed generation units and local loads is disconnected from the remaining portion of the grid. Upon formation of a power island, it remains energized due to the presence of one or more distributed sources. This thesis introduces a new islanding detection technique based on an enhanced multi-layer scheme that shows superior performance over the existing techniques. It provides improved solutions for safety and protection of power systems and distributed sources that are capable of operating in grid-connected mode. The proposed active method offers negligible non-detection zone. It is applicable to micro-grids with a number of distributed generation sources without sacrificing the dynamic response of the system. In addition, the information obtained from the proposed scheme allows for smooth transition to stand-alone operation if required. The proposed technique paves the path towards a comprehensive protection solution for future power networks. The proposed method is converter-resident and all power conversion systems that are operating based on power electronics converters can benefit from this method. The theoretical analysis is presented, and extensive simulation results confirm the validity of the analytical work.