计及风电置信风险成本的多目标最优潮流计算

Multi-objective optimal power flow calculation considering wind power confidence risk cost

风电并网不确定性给电力系统最优潮流带来的风险性难以评估。首先基于风电机会约束概率提出了风电的高估/低估置信风险成本计算方法。然后计及风电置信风险成本构建了经济/环境多目标最优潮流模型,并提出了一种基于非劣性排序的复合回溯搜索(NSCBS)算法,以实现对多目标最优潮流模型高效准确的求解。最后以IEEE30节点为例进行计及风电置信风险成本的多目标最优潮流计算。结果验证了所提出方法的有效性和优越性。

In view of the difficulty in assessing the risks brought by the uncertainty of grid-connected wind power to the optimal power flow of the power system,a calculation method of overestimate/underestimate confidence risk cost for wind power based on the probability of a wind power opportunity constraint is proposed.Then,a multi-objective optimal power flow model for an environment/economy is established in consideration of wind power confidence risk cost,and a Non-Dominated Sorting Compound Backtracking Search(NSCBS)algorithm is proposed to achieve an efficient and accurate solution for the multi-objective optimal power flow model.Finally,a modified IEEE30-bus test system is taken as an example to calculate the multi-objective optimal power flow considering wind power confidence risk cost.The results verify the effectiveness and superiority of the proposed method.