高比例新能源直流送端系统分布式调相机优化配置

高比例新能源直流送端系统故障可能引发新能源暂态过电压脱网，在新能源场站或汇集站配置分布式调相机是抑制暂态过电压脱网的有效手段。针对高比例新能源直流送端系统分布式调相机优化配置的技术需求，首先分析高比例新能源直流送端系统的暂态过电压传播特性。基于此，提出考虑节点和系统综合暂态压升严重性指标的分布式调相机候选节点筛选方法。然后，以计及运维费用的分布式调相机综合配置成本最小为优化目标，考虑多场景和多故障下的暂态电压稳定性约束，构建分布式调相机优化配置模型。最后，利用粒子群算法进行寻优得到分布式调相机优化配置方案，并构建高比例新能源直流外送试验系统。采用BPA-PYTHON-Matlab联合仿真验证所提配置方法的有效性。

Optimal configuration of a distributed synchronous condenser for an HVDC sending-end system with a high-proportion of renewable energy

A fault happening on an HVDC sending-end system with a high-proportion of renewable energy may lead to renewable energy transient overvoltage tripping. Configuring distributed synchronous condensers in renewable energy stations or collection stations is an effective means for restraining transient overvoltage. In view of the technical requirement for optimal configuration of distributed synchronous condensers, this paper first analyzes transient overvoltage propagation characteristics of the HVDC sending-end system. Based on this, the candidate node selection method of condenser considering the comprehensive transient voltage rise severity index of node and system is proposed. Then, taking into account the optimization goal of minimizing the operational and maintenance costs of the condenser, considering transient voltage stability constraints under multiple scenarios and multiple faults, the optimal configuration model of the distributed synchronous condensers is established. Finally, the optimal configuration scheme is obtained by using a particle swarm optimization algorithm, and a high-proportion of renewable energy DC transmission test system is established. The effectiveness of the proposed configuration method is verified by BPA-PYTHON-Matlab joint simulation. This work is supported by the Science and Technology Project of the Headquarters of State Grid Corporation of China (No. 5100-202136012A-0-0-00).