基于元模型的智能软开关就地控制策略优化方法

Optimization Method of Local Control Strategy of Soft Open Point Based on Metamodel

不可控分布式电源(uncontrollable distributed generators,NDG)的大量接入加剧了有源配电网(active distribution networks,ADN)电压违规的风险。智能软开关(soft open point,SOP)通过精确的功率控制能够有效应对分布式电源接入带来的一系列新问题。通信及数据处理负担使得智能软开关的集中控制方式难以适应可再生能源高渗透率有源配电网的运行要求。基于本地测量的就地控制方式可以快速响应分布式电源的频繁波动。本文提出了一种基于元模型的智能软开关就地控制策略优化方法。以网络损耗最小为目标函数,基于克里金方法建立了智能软开关就地控制元模型。基于实时测量求解最优加权向量,制定智能软开关运行策略。所提出就地控制策略可以快速响应分布式电源的频繁波动,减轻计算负担。采用IEEE 33节点算例验证了所提出方法的有效性,结果表明该方法能够有效解决高渗透率分布式电源引起的电压偏差和电压波动问题。

The increasing penetration of uncontrollable distributed generators(NDGs)exacerbates the risk of voltage violations in active distribution networks(ADNs).Soft open point(SOP)can realize accurate power flow control and continuous voltage regulation.Centralized control strategies of SOP are difficult to meet the requirement of fast voltage and reactive power control because of the heavily computational and communicational burdens.Local voltage control based on the real-time measurements has a fast response to the frequent distributed generators(DGs)fluctuations.In this paper,an optimization method of local control strategy of SOP based on kriging metamodel is proposed.Taking minimum network losses as the objective function,the metamodel for local control of SOP is constructed based on the kriging methods.Then,the operation strategies of SOP are developed by calculating the optimal weighted vector based on real-time measurements.The proposed local voltage control strategies of SOP based on only local measurements can quickly response to the frequent DGs fluctuations and lighten the computation burdens with large networks.Case studies under different scenarios on the IEEE 33-node system are conducted to verify the effectiveness of the proposed method,and the results show that the proposed method can effectively solve the problems of voltage deviation and voltage fluctuation caused by high penetration of DGs.