摘要
大规模风电场并网,其波动性和间歇性给传统动态最优潮流带来了极大的挑战。同时考虑风速的随机性和时空相关性,建立基于机会约束规划的含风电场电力系统动态随机最优潮流模型。采用基于原对偶解耦内点法的确定性动态最优潮流计算得到最优调度方案,在此调度方案下,基于半不变量法求解计及相关性的动态随机潮流,从而得到状态变量的概率分布,并据此调整机会约束的上下界,迭代计算解得一组满足所有机会约束的最优调度方案。对改进IEEE14节点系统进行仿真,验证了算法的准确性和实用性,并在此基础上分析风速时空相关性和线路随机故障对系统运行特性的影响。
Large-scale wind power integrates into power grid. The fluctuant andintermittent nature of wind speed greatly challenges the conventionaldynamic optimal power flow. Considering randomness as well as temporal and spatial correlation of wind speed, a dynamic stochastic optimal power flow modelof wind integrated power system based on chance constrained programming was built. Based on primal-dual decomposed interior point method, an optimal dispatching was got through the deterministic optimal power flow. The dynamic probabilistic power flow based on cumulant method considering correlation was used to calculate probability distributions of state variables. New upper and lower bounds to the corresponding variables were formed if chance constraints were violated. The iteration terminated until a final optimal dispatching was found with all the chance constraints satisfied. The precision and efficiency of the algorithm is verified through the stimulation of modified IEEE14-bus system. On such basis, the impacts of random branch outages and wind speed correlation on power system operation characteristic are investigated.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2015年第17期4308-4317,共10页
Proceedings of the CSEE
基金
国家自然科学基金项目(51277052
51107032
61104045)~~
关键词
时空相关性
动态随机最优潮流
自回归滑动平均
机会约束规划
半不变量
原对偶解耦内点法
temporal and spatial correlation
dynamicstochastic optimal power flow
auto regressive moving average（ARMA）
chance constrained programming
cumulant
primal-dual decomposed interior point method
