基于DIgSILENT数据接口DGS的含风电电力系统随机潮流分析

Analysis of Probabilistic Load Flow in Power Gird Integrated with Wind Farms Based on DGS Data Interface of DIg SILENT

同一风区的不同风电场由于地理位置相近,各风电场的风速和出力具有强相关性。针对该特点,提出了一种考虑风电场之间相关性的含风电电力系统随机潮流算法。首先建立了多个风电场出力的离散化联合概率分布模型,在此基础上采用线性化潮流方法分析随机潮流的各项指标。结合随机潮流算法和DIg SILENT软件的优势,研究了一种基于DIg SILENT数据接口DGS的数据转换方法,有效地提高了计算效率。最后利用IEEE-24节点系统以及我国新疆地区2015年规划电网进行方法验证。算例结果表明,建立的考虑风电场相关性的含风电电力系统随机潮流算法具有可行性和优越性,DGS数据接口技术可以使该潮流算法在实际大型电力系统中推广使用,工程实用性较强。

The wind speed and power of wind farms which have near geographical location in the same wind region possess strong correlativity. Therefore,a probabilistic load flow method in power grid considering the correlation between wind farms is proposed in this paper. Firstly, discretized joint probability distribution model of wind power of multi wind farms is built.Then linearized algorithm is used to analyze indices of proba-bilistic load flow. Meanwhile combining the advantages of probabilistic load flow method and the DIg SILENT software,an effective data transformation method is studied based on DIg SILENT data interface DGS. Finally,the method is verified through IEEE 24-bus test system and the planning power grid of 2015 in Xinjiang. The calculation results show the feasibility and superiority of the present method. The DGS data interface technology can promote the use of load flow algorithm in largescale power system with strong practicability.