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节能减排背景下,以分布式风电和光伏为代表的间歇性分布式电源得到了快速发展。考虑风速、光照强度和负荷间的相关性,以年综合费最小为目标,利用机会约束规划方法建立了间歇性分布式电源选址定容规划模型。采用秩相关系数矩阵表征风速、光照强度和负荷间的相关性,利用拉丁超立方采样和Cholesky分解生成相关性样本矩阵。应用动态小生境差分进化算法对规划模型进行求解。IEEE 33节点配电网算例的仿真结果验证了模型的合理性。
Under the background of energy saving and emission reduction, intermittent distributed power represented by distributed wind power and photovoltaic has been rapidly developed. Considering the correlation between wind speed, light intensity and load, aiming at the minimum annual comprehensive fee, a fixed-volume planning model of intermittent distributed power location was established using the opportunistic constrained programming method. The rank correlation coefficient matrix was used to characterize the correlation between wind speed, light intensity and load, and the correlation sample matrix was generated by Latin hypercube sampling and Cholesky decomposition. The dynamic niche difference evolutionary algorithm is used to solve the planning model. The simulation results of IEEE 33-bus distribution network show that the model is reasonable.