  In this paper, we develop a chance-constrained decentralized electric vehicle
(EV) charging control framework to achieve "valley-filling" meanwhile meeting
individual charging requirements and satisfying distribution network
constraints. The control design is formulated as an optimization problem with a
stochastic non-separable objective function and globally coupled chance
constraints. We propose a novel chance-constrained shrunken-primal-dual
subgradient (CC-SPDS) algorithm to support the chance-constrained decentralized
control scheme and verify its efficacy and convergence with a representative
distribution network model.
