Title :
Reliability Evaluation for Distribution System with Distributed Generation
Author :
Lin Jikeng ; Wang Xudong
Author_Institution :
Key Lab. of Power Syst. Simulation & Control of Minist. of Educ., Tianjin Univ., Tianjin, China
Abstract :
Based on the simplification equivalence network, a new reliability evaluation method using the Monte Carlo time sequential simulation for the distribution system with distributed generations (DGs) is presented in this paper. By the zone element failure effect table calculated at the simplification network, the impact of the DGs´ stochastic power output, running/failure statuses of the devices and the stochastic capacity of the loads on the distribution system reliability are computed by the Monte Carlo time sequential simulation. With the help of the equivalence network, the ransack processing during the calculation is greatly reduced, and the repetitive failure analysis is avoided. In the stochastic simulation process, the strategy of synchronously sampling for the states of DGs and the network devices is adopted, which increases the precision of the simulation compared with the other methods. The results of the samples demonstrate the validity and practicability of the new method.
Keywords :
distributed power generation; failure analysis; power distribution reliability; stochastic processes; DG stochastic power output; Monte Carlo time sequential simulation; distributed generation; distribution system reliability; equivalence network; failure effect table; simplification equivalence network; stochastic capacity; Computational modeling; Computer networks; Distributed computing; Distributed control; Failure analysis; Monte Carlo methods; Power system reliability; Sampling methods; Stochastic processes; Stochastic systems;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448347