基于CVTs空间划分的主动配电网有功无功协调优化OA

The large-scale integration of distributed photovoltaics into the distribution network significantly affects the power flow distribution and voltage stability due to the intermittency and volatility of photovoltaic power generation,leading to problems such as voltage violations and power fluctuations,which threatens the economy and stability of the power grid.To address this challenge,an improved particle swarm optimization algorithm based on Centroidal Voronoi Tessellations(CVTs)spatial partitioning is proposed for active and reactive power coordination optimization in active distribution networks.Firstly,to comprehensively consider the impact of photovoltaic integration on distribution network voltage,a multi-objective function containing active power loss,voltage deviation,and minimum node voltage is constructed.Then,a regional adjustment strategy based on CVTs spatial partitioning is proposed,which improves the global optimization capability and optimization precision of the particle swarm algorithm by uniformly dividing the complex high-dimensional variable space into multiple low-dimensional subspaces.On this basis,niche techniques and dynamic weight adjustment factors are introduced to further enhance the algorithm's global search capability and convergence speed.Based on the MATLAB simulation system,simulation verifications is conducted on the IEEE 30-node system.The results demonstrate that the proposed algorithm can reduce network losses by up to 6.7%,reduce the standard deviation of photovoltaic power fluctuation by 57.37%,effectively increase the minimum grid voltage by 2.7%,and decrease the maximum grid voltage by 0.873%,providing an effective solution for reactive power optimization after large-scale photovoltaic integration into distribution networks.