基于SNOP的主动配电网多时间尺度优化策略

Multi-Time Scale Optimization Strategy of Active Distribution Network Based on SNOP

针对主动配电网(active distribution network,ADN)中分布式电源和负荷随机波动的特点,提出了基于软常开开关(soft normally open point,SNOP)的主动配电系统多时间尺度控制策略。考虑SNOP的运行工作特性,提出了在长时间尺度上通过配电网全局优化策略实现对SNOP输出进行控制,在短时间尺度上通过引入电压波动迟滞控制实现对SNOP输出参考值的动态调整,以维持线路电压平稳,提升分布式电源的消纳能力。在改进的IEEE 33节点系统中,进行了长时间尺度全局优化、短时间尺度动态调整分析,并对SNOP的安装位置、容量和数量进行了讨论。结果表明,基于SNOP的主动配电系统多时间尺度优化策略是有效可行的,且统一潮流控制器(unified power flow controller,UPFC)型SNOP较背靠背(back to back,B2B)型有更小的容量需求。

According to the stochastic volatility characteristics of distributed generation and load in active distribution network, this paper proposes the multi-time scale optimization strategy for active distribution network based on soft normally open point （SNOP）. With considering the operating characteristics of SNOP, we control the output power of SNOP through the global optimization strategy of distribution network on long-time scale, and realize the dynamic adjustment on the output reference value of SNOP through voltage fluctuation hysteresis control on short-time scale, which can maintain the line voltage stable, and enhance the absorptive capacity of the distributed generation. In the improved IEEE-33 bus system, we analyze the global optimization on long-time scale and the dynamic adjustment on short-time scale, as well as discuss the installation position, capacity and number of SNOP. The results show that the multi-time scale optimization strategy of active distribution network based on SNOP is feasible and effective, and UPFC-type SNOP has a smaller capacity requirement than that of B2B-type.