Interval optimal dispatching method of power system considering source-load uncertainty and frequency security

被引:0
|
作者
Song, Xiaofang [1 ,2 ]
Zhou, Haiqiang [3 ]
Xue, Feng [1 ,2 ]
Gao, Chao [3 ]
Zhao, Chunzhu [3 ]
Yan, Yunsong [1 ,2 ]
机构
[1] State Key Laboratory of Smart Grid Protection and Control, Nanjing,211106, China
[2] NARI Technology Co.,Ltd., Nanjing,211106, China
[3] College of Energy and Electrical Engineering, Hohai University, Nanjing,210098, China
基金
中国国家自然科学基金;
关键词
Benders' decompositions - Dispatching methods - Frequency security - High-risk scenario set - Interval optimization - Load-frequency - Optimal dispatching - Power - Risks scenarios - Uncertainty;
D O I
10.16081/j.epae.202206004
中图分类号
学科分类号
摘要
An interval optimal dispatching method of power system considering source-load uncertainty and frequency security is proposed. Firstly,the dynamic frequency characteristic of system is analyzed,and the nonlinear frequency security constraint is approximately simplified to linear constraint. Then,based on considering the interval uncertainty of source-load prediction error,the mathematical model of the optimal dispatching problem of power system considering frequency security constraint is established. The interval optimization problem is decomposed into the master problem in the baseline scenario and the feasibility check subproblem for correction dispatching in uncertain scenarios and then solved based on the Benders decomposition method. In order to reduce the amounts of scenarios to be studied,a few high-risk scenarios are screened out according to the extent that the constraints of power balance,reserve and transmitted power of line are violated,and the feasibility of the dispatching scheme in the high-risk scenarios is checked. Finally,the proposed method is applied in the 10-generator 39-bus system integrated with wind generations. The simulative results show that the interval optimal dispatching method can guarantee the power system security in uncertain scenarios. Compared with the scenario-based method,the computational efficiency is significantly improved,and the computational tasks are reduced largely. © 2022 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码:212 / 220
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