This paper aims to analyze the dynamic operations of a low-voltage microgrid with various distributed energy resources. The sample system is composed of a low-voltage microgrid with a 30 kVA micro-hydro generator, a 30 kVA diesel engine generator, a 30 kVA gas engine generator, and a 15 kVA micro-wind turbine generator as well as loads. The dynamic models of individual components are established and tested to ensure accuracy, and then the aforementioned components are integrated to form a microgrid dynamic simulation system in the Matlab/Simulink environment. The system dynamic operations of the proposed microgrid are discussed. The results are expected to provide distribution engineers with the necessary information on the dynamic characteristics of the AC low-voltage microgrids. Further, the results are helpful for the development of microgrids in Taiwan.
We propose an architecture exploration scheme for QoS control Silicon Intellectual Properties (SIPs). The scheme integrates network simulator (NS-2), embedded Linux operating system, Linux driver, Electronic Design Automation (EDA) tools, extended on-chip bus, and real Field Programmable Gate Array (FPGA) hardware for comprehension of how data bus width and clock rate affect QoS performance in wireless networks. Software and hardware co-design flow and programming paradigm for evolving the FPGA prototype toward a platform-based reusable SIP with driver and cross-layer interface are also depicted. Three QoS control experiments in video streaming over HCCA, EDCA, and WiMAX wireless technologies demonstrate the proposed exploration scheme effectively helps engineers comprehend impacts of architectural design parameters on networking performances in wireless multimedia communications.Index Terms-architecture exploration, silicon intellectual property, QoS, algorithm and architecture co-design
Abstract--This paper aims to evaluate the maximum interconnected capacity of the distributed generation(DG), which been interconnected into the distribution feeders. The ±2.5% voltage derivation limit of the Taipower interconnected guides are adopted for evaluating the maximum interconnected capacity of DG, and the unbalanced power flow program is used to solve for the bus voltage profiles before and after the DG interconnected into a primary feeder. The IEEE 13-Bus feeder is modified as a sample system. The simulation scenariosinclude the individual phase and three-phase connections between the DG and the primary feeder. The outcomes demonstrate that the maximum interconnected capacity of DG is dependent on the short-circuit capacity, connection location, load demand, and voltage variation limit.
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