| 引用本文: | 宋晓芳,周海强,薛峰,高超,赵春祝,颜云松.计及源荷不确定性及频率安全的电力系统区间优化调度方法[J].电力自动化设备,2022,42(7): |
| SONG Xiaofang,ZHOU Haiqiang,XUE Feng,GAO Chao,ZHAO Chunzhu,YAN Yunsong.Interval optimal dispatching method of power system considering source-load uncertainty and frequency security[J].Electric Power Automation Equipment,2022,42(7): |
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| 摘要: |
| 提出了一种计及源荷不确定性及频率安全的电力系统区间优化调度方法。首先，对系统动态频率特性进行分析，将非线性频率安全约束近似简化为线性约束。接着，在考虑源荷预测误差区间不确定性的基础上，建立了计及频率安全约束的电力系统优化调度问题数学模型。基于Benders分解方法将区间优化问题分解为基准场景下的主问题和不确定场景下校正调度的可行性校验子问题进行求解，为减少需要考虑的场景数量，根据系统违反功率平衡、备用、线路潮流等安全约束的程度筛选出少量高风险场景，并对其进行可行性校验。最后，将该方法应用于含风电的10机39节点系统，仿真结果表明，区间优化调度方法可确保系统在不确定场景下的安全性，与场景法相比，其计算效率显著提高，计算量大幅减少。 |
| 关键词: 电力系统 不确定性 频率安全 区间优化 Benders分解 高风险场景集 |
| DOI：10.16081/j.epae.202206004 |
| 分类号:TM73 |
| 基金项目:智能电网保护和运行控制国家重点实验室资助项目(SGTYHT/20-JS-221)；国家自然科学基金委员会-国家电网公司智能电网联合基金资助项目(U2066601) |
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| Interval optimal dispatching method of power system considering source-load uncertainty and frequency security |
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SONG Xiaofang1,2, ZHOU Haiqiang3, XUE Feng1,2, GAO Chao3, ZHAO Chunzhu3, YAN Yunsong1,2
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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
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| Abstract: |
| 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. |
| Key words: electric power systems uncertainty frequency security interval optimization Benders decomposition high-risk scenario set |
