A Multi-Resource Cooperative Voltage Support Control Strategy Based on an Improved Particle Swarm Optimization Algorithm

As flexible and controllable resources, PV and wind power can provide effective cooperative voltage support in renewable-rich distribution networks. This paper proposes a multi-resource cooperative voltage support strategy based on an improved particle swarm optimization (PSO) algorithm to coordinate heterogeneous controllable resources for optimal reactive power allocation and enhanced voltage stability. The proposed PSO integrates a sensitivity-matrix-guided initialization to improve feasibility and accelerate early-stage convergence, together with an adaptive parameter adjustment mechanism to enhance search efficiency and robustness. The method is validated on an IEEE 69-bus distribution network implemented in MATPOWER. Simulation results show that the proposed strategy increases the voltage qualification rate from 86.96% to 100% and reduces the average voltage deviation by 61.3%.