基于稀疏多项式混沌展开的孤岛微电网概率潮流计算

考虑到可再生能源的不确定性对微电网运行的影响,传统确定性潮流计算难以全面描述系统运行状态与潮流分布情况。在计及微电网源荷随机性与相关性的情况下,文中建立了孤岛交流微电网的概率潮流模型。进一步,提出了一种稀疏多项式混沌展开方法用于快速准确得到孤岛微电网的输出响应,在含有高维输入随机变量时,有效提高了孤岛微电网的概率潮流计算效率。采用接入多台分布式电源的33节点孤岛微电网系统进行仿真,通过与传统方法的对比,验证了所提方法的高效性和准确性。

Probabilistic Power Flow Calculation of Islanded Microgrid Based on Sparse Polynomial Chaos Expansion

Considering the effect of uncertainty of renewable energy source(RES)on the operation of microgrid, it is hard to comprehensively describe operation states and power flow distribution through the traditional deterministic power flow calculation. Based on the randomness and dependency of generators and loads in microgrid, this paper develops a probabilistic power flow model of islanded AC microgrid. The sparse polynomial chaos expansion method is adopted to obtain output response of islanded microgrid quickly and accurately, also it can improve the efficiency of probabilistic power flow calculation of microgrid with high-dimensional input variables. Finally, a 33-node islanded microgrid with several distributed generators is simulated, and the effectiveness and accuracy of the proposed method are verified by comparing with traditional methods.