基于PSO算法的直流有功功率调制参数优化研究

Study on Parameter Optimization of DC Active Power Modulation Based on PSO

针对直流有功功率提升/回降调制中的参数优化问题,提出了基于暂态稳定性指标的粒子群(PSO)参数优化方法。通过分析调制前后的加/减面积,确定能够反应系统暂态稳定性的目标函数;结合PSO算法对调制参数进行优化,实现从工程经验数据到人工智能搜索的转变。在三华电网仿真中获得了交/直流外送通道的故障情况下的调制策略表。仿真结果表明,该方法可以实现参数的智能化搜索,能够提高有功功率调制的效果,并实现了多条直流线路的灵活和协调控制。

This paper proposes optimized parameters of particle swarm optimization （PSO） based on transient stability index in accordance with parameter optimization in DC active power upgrade/downgrade modulation. Through analysis of the accelerated and decelerated area before which can measure transient stability is defined. The modulation and after modulation, the objective function parameter is optimized by combining PSO to realize the transformation from engineering experience data to artificial intelligence search. Finally, the modu- lation strategy table is obtained in case of AC/DC transmission channel fault through simulation of Sanhua power grid. The simulation results show that this method can not only realize the intelligent parameter search but improve the active power modulation effect and further realize flexible and coordinated control anmng the multiple DC lines.