考虑概率分布约束的含高渗透率风电电力系统储能鲁棒优化方法

发布时间：2018-06-26 21:32

本文选题：风电不确定性 + 波动区间　；参考：《电网技术》2017年03期

【摘要】：提出一种考虑风电功率预测误差概率分布不确定性的储能容量优化配置方法。该方法可保证在风电功率任意可能分布下,通过调度可调发电机组及配置储能以保证系统安全运行,同时最小化储能配置成本。首先鉴于历史数据的不完备性,将根据历史数据获得的风电二阶矩信息描述为波动区间,然后采用概率分布鲁棒联合机会约束模型描述含风场系统储能最优配置问题,进而采用拉格朗日对偶消去优化模型中的随机变量,将鲁棒机会约束模型转化为确定性的线性矩阵不等式问题,最后采用凸优化算法求解,并分析风电预测误差精度、机会约束置信度、风电功率波动性对储能配置容量的影响。采用修改的Garver 6节点算例验证了该方法的可行性和有效性。
[Abstract]:An optimal allocation method of energy storage capacity considering uncertainty of probability distribution of wind power prediction error is proposed. This method can ensure the safe operation of the system and minimize the cost of energy storage by dispatching adjustable generating units and configuring energy storage under arbitrary distribution of wind power. In view of the incompleteness of historical data, the second-order moment information obtained from historical data is described as a fluctuation interval, and then the probabilistic distribution robust combined opportunistic constraint model is used to describe the optimal allocation of energy storage in wind-bearing systems. Then using Lagrange dual elimination of random variables in the optimization model, the robust chance constraint model is transformed into a deterministic linear matrix inequality problem. Finally, the convex optimization algorithm is used to solve the problem, and the accuracy of wind power prediction error is analyzed. The influence of chance constraint confidence and wind power fluctuation on storage capacity. A modified Garver 6 node example is used to verify the feasibility and effectiveness of the method.
【作者单位】：浙江大学电气工程学院;浙江省电力公司;
【基金】：国家863高技术基金项目(2015AA050202) 国家自然科学基金资助项目(51577168)~~
【分类号】：TM614

【相似文献】