Configuration strategy of emergency generator vehicle for resilience enhancement of distribution networks
An emergency power vehicle configuration strategy was proposed to enhance the power restoration capability of distribution net-works during significant natural meteorological disasters.The issue was transformed into a two-stage stochastic optimization model.The first stage is the investment planning phase,which involves determining the number and power capacity of emergency power vehicles under economic constraints.The second stage is the optimization operation phase,aiming to minimize the expected loss cost during distribution network failure recovery.Multiple distribution network operation failure scenarios were generated using Monte Carlo simulation and typical failure scenarios were then selected based on fault characteristics of formed islanding load.The two stage multi scenario stochastic programming model was solved by progressive hedging algorithm.Finally,the effectiveness of the proposed emergency power vehicle configuration method for enhancing the resilience of the distribution network was verified by the simulations of a IEEE 33 bus distribution system case.
distribution networkresilienceemergency generator vehiclemulti-stage stochastic programmingprogressive hedging algorithm
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