| 引用本文: | 李志伟,赵书强,董凌.考虑预测误差的风火协调滚动调度[J].电力自动化设备,2020,40(12): |
| LI Zhiwei,ZHAO Shuqiang,DONG Ling.Coordinated rolling dispatch of wind and thermal power considering forecasting error[J].Electric Power Automation Equipment,2020,40(12): |
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| 摘要: |
| 在风电大规模接入电力系统的背景下，建立基于机会约束相关机会目标规划的电力系统滚动优化调度模型。考虑风电功率预测误差对调度模型功率平衡方程的影响，建立基于相关机会规划的功率平衡模型，将功率平衡的等式约束转化为最大化随机事件发生概率的目标函数。考虑风电功率预测误差“近小远大”的特点，确定系统旋转备用容量不同时刻机会约束条件的置信水平，并设计AⅢ段→BⅡ段→CⅠ段多次覆盖、逐次修改的滚动调度模式。为了实现模型的快速求解，引入目标规划将所建多目标优化模型转化为单目标优化模型。算例仿真验证了所建模型的有效性，所建模型能根据未来较长时段的风电和负荷情况进行预先调整，提高可再生能源的消纳能力。 |
| 关键词: 电力系统 滚动调度 机会约束规划 相关机会规划 风电 |
| DOI：10.16081/j.epae.202011015 |
| 分类号:TM614;TM732 |
| 基金项目:国家重点研发计划项目(2017YFB0902200)；国家电网公司科技项目(5228001700CW)；中央高校基本科研业务费专项资金资助项目(2020MS091)；河北省自然科学基金资助项目(E2020502066)；国网河北省电力有限公司项目(SGHEDK00DYJS2000145) |
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| Coordinated rolling dispatch of wind and thermal power considering forecasting error |
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LI Zhiwei1, ZHAO Shuqiang1, DONG Ling2
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1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China;2.State Grid Qinghai Electric Power Company, Xining 810000, China
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| Abstract: |
| In the background of large-scale wind power integrated into power system, a rolling optimal dispatch model for power system is built based on the chance-constrained dependent chance goal programming. Considering the influence of wind power forecasting error on power balance equations of dispatch model, a power balance model is established based on dependent chance programming, which transforms the power balance equality constraints into an objective function of maximizing the occurrence probability of random events. Considering the characteristics of “near small but far big” of wind power forecasting error, the confidence levels of chance-constrained conditions of system spinning reserve capacity at different moments are determined, and a rolling dispatch mode of section AⅢ→ BⅡ→ CⅠ is designed with multiple coverage and successive modification. In order to solve the model fast, the goal programming is introduced to transform the multi-objective optimization model into a single-objective optimization model. The case simulation verifies the effectiveness of the proposed model. The proposed model can adjust in advance according to the wind power and load condition of a long period in the future, which improves the consumption ability of renewable energy. |
| Key words: electric power systems rolling dispatch chance-constrained programming dependent chance programming wind power |
