基于SRSM的含分布式电源及电动汽车充电负荷配电系统的概率潮流计算

Probabilistic Load Flow Calculation of Distribution System Containing Distributed Generation and Electric Vehicle Charging Load Based on SRSM

为了准确描述配电系统中不确定因素对系统概率潮流分析的影响,引入随机响应面法(stochastic response surface method,SRSM)对含分布式电源(distributed generators,DG)及电动汽车充电负荷(electric vehicle charging load,EVCL)配电系统的概率潮流进行分析。该方法充分考虑了风速、光照强度的随机性以及基础负荷和EVCL的不确定性,仅需较少的仿真次数便可快速估计出响应的概率统计信息。通过对IEEE14和IEEE30节点系统的算例分析,结果表明SRSM具有较高的计算效率和模拟精度,同时验证了所提方法的有效性、准确性、快速性和实用性。

In order to accurately describe the influence of the random factors in distribution systems on the probabilistic load flow analysis, the stochastic response surface method （SRSM） is introduced to perform analysis of the probabilistic load flow of the distribution system containing distributed generations and electric vehicle charging load（EVCL）. This method sufficiently considers the randomness of wind speed and light intensity as well as uncertainty of basic load and EVCL, and the statistical information of the response could be assessed by faster simulation process. Simulation results on IEEE14-bus system and IEEE30-bus system show that SRSM has high computational efficiency and simulation accuracy, and have verified the validity, accuracy, rapidity and practicability of the proposed method.