Two-stage Optimization Scheduling of Distribution Networks Considering Power Quality

This paper presents a novel two-stage optimization model for the scheduling of distributed generation (DG) in distribution networks, aiming to minimize operating costs and improve electricity quality. In the first stage, the model optimizes DG dispatch, considering factors such as market electricity prices, generation unit selection, and flexible load contract pricing. The second stage focuses on reactive power optimization, adjusting DG outputs and reactive power compensating devices to maintain voltage stability and reduce active power losses. To enhance the optimization process, an Hour-related particle swarm optimization (Hour-related PSO) algorithm is integrated, which leverages the continuity of optimal solutions between stages to accelerate convergence and reduce computational complexity. Simulations using the IEEE 33-node test system demonstrate that the proposed model, combined with Hour-related PSO, significantly lowers operational costs while improving voltage regulation and overall network performance. The results highlight the effectiveness of the approach in achieving optimal, cost-efficient dispatch and enhanced grid stability.