含混合式配电变压器的主动配电网电压鲁棒模型预测控制

Hybrid distribution transformer (HDT) can replace traditional distribution transformer and realize dynamic reactive power regulation, thus improving the power quality in distribution level. In order to apply HDT to regulate voltage in active distribution network (ADN), this paper formulated the controllable range of HDT reactive power adjustment by analyzing its topology and operation mechanism. With the objective of regulating the node voltage and minimizing the control effort, an ADN reactive power dynamic optimization model which coordinated the reactive power of multiple HDTs was established. Because of the line parameter errors, this dynamic optimization model is inherently uncertain. In order to address this problem, a robust model predictive control (RMPC) scheme was designed. By bounding the range of uncertainty, the optimization problem with uncertainty constraints was transformed to a Min-Max problem, and was further reformulated as a quadratic programming with second order cone constraints, which can be efficiently solved by software. The effectiveness and robustness of the proposed control scheme was verified on a modified IEEE 33-bus system.