An Decomposition Algorithm for Distribution Network Reconfiguration Schedule Considering Demand Response

Network reconfiguration and demand response can both reduce the loss and improve the security of the distribution networks (DNs). In this paper, we describe a day-ahead DN reconfiguration schedule model considering demand response, in which network reconfiguration is conducted by distribution system operator (DSO) while the demand response strategies are realized by customer aggregators. To preserve information privacy and reduce computational burden, a two-level decomposition & coordination algorithm is proposed to solve this model, which is based on a log-barrier cost function. In the upper level, the DSO optimizes the network reconfiguration schedule, calculates the barrier cost of every load bus and then sends it to the corresponding customer aggregator. In the lower level, every customer aggregator exploits available controllable demands like heat pump (HP), electric vehicle (EV) to minimize the nodal daily cost based on the barrier cost calculated in DSO. Numerical tests verify the promising convergence of this decomposition algorithm and show a reduction of the total cost in DN.