基于改进粒子群算法的交直流系统低压切负荷优化控制策略

摘要

The development of high voltage direct current transmission speeds up the interconnec-tion development of large scale and long distance power systems,which brings unprecedented challenges to the voltage stability of power system.In this paper,a new method based on im-proved particle swarm optimization algorithm (PSOBSA)for under-voltage load shedding in AC/DC power system was proposed.Firstly,the power flow calculation model of AC/DC power sys-tem was revised.Secondly,the drift problem of Thevenin equivalent parameters was improved. And a voltage stability margin index was set up.Considering the requirements of fast load shed-ding,a method,which used the sensitivity of AC/DC power system to choose the location of load shedding,was proposed.Finally,under-voltage load shedding model of AC/DC system was set up.Taking minimize control cost as a target,the optimal control steps were presented based on the PSOBSA.Simulation of the IEEE30 node system results show that the proposed method can effectively improve the voltage stability in the AC/DC system.%高压直流输电技术的发展推进了大规模、远距离电力系统互联，但也带来了电压稳定控制的挑战。提出一种基于改进粒子群算法的交直流系统低压切负荷搜索方法。首先，修正交直流系统潮流计算模型；其次，针对戴维南等值参数漂移问题改进模型，建立电压稳定裕度指标；为满足切负荷的快速性要求，采用灵敏度选取交直流系统切负荷点集；然后，建立交直流系统低压切负荷模型，以最小控制成本为目标，并给出算法的优化步骤；最后，基于 IEEE 30节点系统进行验证，仿真结果表明：该方法能有效提高交直流系统电压稳定性。