This paper presents the design, implementation and testing of an embedded system that integrates solar and storage energy resources to smart homes within the smart mierogrid. The proposed system provides the required ...This paper presents the design, implementation and testing of an embedded system that integrates solar and storage energy resources to smart homes within the smart mierogrid. The proposed system provides the required home energy by installing renewable energy and storage devices. It also manages and schedules the power flow during peak and off-peak periods. In addition, a two-way communication protocol is developed to enable the home owners and the utility service provider to improve the energy flow and the consumption efficiency. The system can be an integral part for homes in a smart grid or smart microgrid power networks. A prototype for the proposed system was designed, implemented and tested by using a controlled load bank to simulate a scaled random real house consumption behavior. Three different scenarios were tested and the results and findings are reported. Moreover, data flow security among the home, home owners and utility server is developed to minimize cyber-attaeks.展开更多
Condition monitoring of outdoor insulation systems is crucial to the integrity of distribution and transmission overhead lines and substations.The objective of this study is to use a commercial acoustic sensor along w...Condition monitoring of outdoor insulation systems is crucial to the integrity of distribution and transmission overhead lines and substations.The objective of this study is to use a commercial acoustic sensor along with artificial neural network(ANN),to classify different typical types of discharges in outdoor insulation systems.First,ANN was used to distinguish between five common electrical discharges that were generated under controlled conditions.Next,this approach was extended to include outdoor ceramic insulators.Three types of defects were tested under laboratory conditions,i.e.a crack in the ceramic disc,surface pollution discharge,and corona near the insulator surface.Both a single disc,and three discs connected in an insulator string were tested with respect to these defects.For both controlled samples and full insulators,a recognition rate of more than 85%was achieved.展开更多
文摘This paper presents the design, implementation and testing of an embedded system that integrates solar and storage energy resources to smart homes within the smart mierogrid. The proposed system provides the required home energy by installing renewable energy and storage devices. It also manages and schedules the power flow during peak and off-peak periods. In addition, a two-way communication protocol is developed to enable the home owners and the utility service provider to improve the energy flow and the consumption efficiency. The system can be an integral part for homes in a smart grid or smart microgrid power networks. A prototype for the proposed system was designed, implemented and tested by using a controlled load bank to simulate a scaled random real house consumption behavior. Three different scenarios were tested and the results and findings are reported. Moreover, data flow security among the home, home owners and utility server is developed to minimize cyber-attaeks.
文摘Condition monitoring of outdoor insulation systems is crucial to the integrity of distribution and transmission overhead lines and substations.The objective of this study is to use a commercial acoustic sensor along with artificial neural network(ANN),to classify different typical types of discharges in outdoor insulation systems.First,ANN was used to distinguish between five common electrical discharges that were generated under controlled conditions.Next,this approach was extended to include outdoor ceramic insulators.Three types of defects were tested under laboratory conditions,i.e.a crack in the ceramic disc,surface pollution discharge,and corona near the insulator surface.Both a single disc,and three discs connected in an insulator string were tested with respect to these defects.For both controlled samples and full insulators,a recognition rate of more than 85%was achieved.
