Scenario-Based Stochastic Programming for Volt/Var Control in Distribution Systems With Renewable Energy Sources

This paper presents a novel stochastic programming model for active and reactive power scheduling in distribution systems with renewable energy resources. In distribution systems, both active and reactive power scheduling affects considerably the daily Volt/Var control (VVC) issue. To motivate distributed generations (DGs) to contribute in the VVC problem besides the energy markets, a generic reactive cost model is proposed for DGs. The presented approach, which will be performed in an off-line manner, is based on the decoupled day-ahead active and reactive power markets at distribution level. The uncertainties pertaining to the forecasted values for available output power of renewable energy sources are modelled by a scenario-based stochastic programming. In this paper, the CPLEX and BONMIN solvers are employed to solve the presented model in the GAMS environment. Finally, a typical 22-bus distribution network is used to verify the efficiency of the proposed method.