A reliability assessment methodology for distribution systems with distributed generation [electronic resource] /
Reliability assessment is of primary importance in designing and planning distribution systems that operate in an economic manner with minimal interruption ofcustomer loads. With the advances in renewable energy sources, Distributed Generation(DG), is forecasted to increase in distribution networks. The study of reliability evaluation of such networks is a relatively new area. This research presents a new methodology that can be used to analyze the reliability of such distribution systems and can be applied in preliminary planning studies for such systems. The method uses a sequential Monte Carlo simulation of the distribution system's stochastic model to generate the operating behavior and combines that with a path augmenting Max flow algorithm to evaluate the load status for each state change of operation in the system. Overall system and load point reliability indices such as hourly loss of load, frequencyof loss of load and expected energy unserved can be computed using this technique. On addition of DG in standby mode of operation at specific locations in the network, the reliability indices can be compared for different scenarios and strategies for placement of DG and their capacities can be determined using this methodology.
School:Texas A&M International University
School Location:USA - Texas
Source Type:Master's Thesis
Keywords:major electrical engineering reliability monte carlo distributed generation max flow
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