Mobile energy storage technology

as a new type of flexible resources

plays an important role in many sce-narios of power systems such as disaster prevention and emergency support. On this background

an optimal schedul-ing method of mobile energy storage systems in emergency based on fuzzy chance constrained is proposed to recoverthe power supply of important customers and minimize outage losses.First of all

the operation principle of the mobileenergy storage systems is introduced and fuzzy chance constrained plan model of the optimal scheduling of the mo-bile energy storage system

which takes into account the load classification and the uncertainty of the travel time ofmobile energy storage systems

is proposed to minimize the total outage losses as optimization target and achieve thecontinuous power supply of the first level load. Then

for the uncertainty of the travel time

the fuzzy parameter in thefuzzy theory is adopted to represent the travel time and the clear equivalent forms of trapezoidal membership parame-ters are used to convert the opportunity constraints with fuzzy parameters into clear ones.Finally

a genetic algorithmis applied to solve the proposed model. It is shown by the result of calculation and analysis that the proposed optimalschedule model of the mobile storage system can deal with the uncertainty of the travel time during the emergency pe-riod

achieve the optimal distribution and scheduling of mobile energy storage systems and then reduce the lossescaused by the blackout.