Two-Stage Optimal Dispatching for Active Distribution Networks Considering the Modeling of Power and Energy Balance

Driven by the global energy transformation and carbon neutrality goals, the efficient operation and optimal dispatching of distribution networks are essential. This paper proposes a two-stage dispatching strategy that combines economic optimization and reactive power optimization for active distribution networks (ADNs) by considering the power and energy balance. When constructing the economic optimization model, the power and energy balance constraints are fully considered to guarantee the supply as well as demand balance in each period. The improved NSGAII-MOPSO algorithm solves the model to decrease the operating costs and carbon emissions of the ADNs. The dispatching strategy also optimizes the adjustable loads to achieve peak shaving and valley filling, thereby improving flexibility and economy. The simulation validations are implemented on the IEEE 33-node system containing renewable energy sources, which verifies the effectiveness of the proposed two-stage strategy.