计及注入转移分布因子估计误差的鲁棒实时调度

发布时间：2019-07-10 21:38

【摘要】：注入转移分布因子是电网运行分析中的一种重要的线性化灵敏度因子,常用以校验一定发电计划下输电支路的潮流安全。注入转移分布因子的估计误差,会造成对支路潮流估计的偏差,从而威胁电网的安全运行。提出一种可以计及电网注入转移分布因子估计误差的电网实时鲁棒调度方法。首先利用实时量测数据,基于贝叶斯线性回归理论建立注入转移分布因子的概率估计模型,并求解获得注入转移分布因子的误差区间。进而,以电网运行经济性为目标,构建同时考虑节点注入功率扰动及注入转移分布因子估计误差的实时调度模型,并基于Soyster鲁棒优化方法,给出了模型的求解算法。通过对6节点系统、IEEE 118节点系统及IEEE 300节点系统的测试计算与分析,验证了方法的有效性。
[Abstract]:Injection transfer distribution factor is an important linear sensitivity factor in power network operation analysis, which is often used to verify the power flow safety of transmission branches under a certain power generation plan. The estimation error of injection transfer distribution factor will cause the deviation of branch power flow estimation, which will threaten the safe operation of power grid. In this paper, a real-time robust dispatching method is proposed, which can take into account the estimation error of injection transfer distribution factor. Firstly, based on the real-time measurement data, the probability estimation model of injection transfer distribution factor is established based on Bayes linear regression theory, and the error interval of injection transfer distribution factor is solved. Furthermore, aiming at the operation economy of power grid, a real-time dispatching model considering both node injection power disturbance and injection transfer distribution factor estimation error is constructed, and based on Soyster robust optimization method, the algorithm of solving the model is given. The effectiveness of the method is verified by the test calculation and analysis of 6-node system, IEEE 118bus system and IEEE 300bus system.
【作者单位】：山东大学电网智能化调度与控制教育部重点实验室;国网青岛供电公司;国网山东省电力公司检修公司;中国电力科学研究院;
【基金】：国家自然科学基金(51007047、51477091) 国家重点基础研究发展计划(973计划)(2013CB228205) 国家电网公司科技项目(XT71-15-056) 山东大学基本科研业务费专项资金资助
【分类号】：TM73

【相似文献】