基于BSSSO算法的无功补偿容量优化方法

无功补偿容量的目标是将有功功率损耗降至最低且兼顾电压平衡。首先，针对无功补偿容量优化实际，建立考虑有功功率损耗、电压偏差、电压稳定性的多目标无功补偿容量优化模型；然后，提出基于鸟群算法（bird swarm algorithm,BSA）与混合牧羊人优化算法（shuffled shepherd optimization algorithm,SSOA）的鸟群牧羊混合优化（bird swarm shuffled shepherd optimization, BSSSO）算法，以优化无功补偿容量；最后，通过仿真算例验证了所提方法，结果表明所提方法性能优越，可以兼顾各指标平衡。

Reactive Power Compensation Capacity Optimization Method Based on BSSSO Algorithm

The objective of reactive compensation capacity is to minimize the active power loss and take into account the voltage balance. Firstly, according to the actual optimization of reactive power compensation capacity, a multi-objective reactive power compensation capacity optimization model considering active power loss, voltage deviation and voltage stability was established. Then, a BSSSO algorithm based on bird swarm algorithm (BSA) and shuffled shepherd optimization algorithm (SSOA) is proposed to optimize reactive power compensation capacity. Finally, the proposed method is verified by a simulation example, and the results show that the proposed method has superior performance and can take into account the balance of all indexes.