A Study on Distribution Network Reconfiguration Considering the Stochastic Output of Distributed Generation

This study addresses the impact of the inherent randomness and volatility of distributed generation on the stability of distribution networks. Traditional reconfiguration strategies are inadequate for handling these challenges. To overcome this, the paper proposes a reconfiguration strategy that incorporates a demand response mechanism to improve the integration of distributed generation and reduce operational costs. A secondorder cone relaxation method is applied to transform the nonconvex optimization problem into a convex one, which is then solved using Mixed-Integer Second-Order Cone Programming. Case studies on the IEEE 33-bus system demonstrate that the proposed strategy significantly reduces power losses, improves voltage quality, and lowers operational costs by considering both the stochastic nature of generation and the demand response.