| 考虑风电降载的电力系统鲁棒备用调度模型 |
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| 引用本文： | 林峰,汪震,王冠中,辛焕海.考虑风电降载的电力系统鲁棒备用调度模型[J].电力系统自动化,2018,42(19):64-70. |
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| 作者姓名： | 林峰 汪震 王冠中 辛焕海 |
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| 作者单位： | 浙江大学电气工程学院;浙江省海洋可再生能源电气装备与系统技术研究重点实验室 |
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| 基金项目： | 国家重点研发计划资助项目(2017YFB0902000)；国家自然科学基金资助项目(51677165)；国家电网公司科技项目(SGXJ0000KXJS700841) |
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| 摘 要： | 风电主动控制可抑制风电出力的波动,有效缓解系统备用压力。文中提出了一种考虑风电降载的电力系统鲁棒备用调度模型,考虑风电场和负荷功率预测误差的不确定性,引入风电降载比定量描述风电备用持有水平,建立风电场备用、旋转备用等鲁棒约束条件,同时根据对偶原理将鲁棒优化模型转化为确定性的数学规划问题,利用线性松弛技术和空间分支定界法寻找模型的全局最优解。最后,采用改进的IEEE 39节点算例验证模型的有效性。
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| 关 键 词： | 备用调度 鲁棒优化 降载运行 空间分支定界 |
| 收稿时间： | 2017/10/11 0:00:00 |
| 修稿时间： | 2018/8/25 0:00:00 |
Robust Reserve Scheduling Model of Electric Power System Considering WTG De-loading Capability |
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| LIN Feng,WANG Zhen,WANG Guanzhong and XIN Huanhai.Robust Reserve Scheduling Model of Electric Power System Considering WTG De-loading Capability[J].Automation of Electric Power Systems,2018,42(19):64-70. |
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| Authors: | LIN Feng WANG Zhen WANG Guanzhong and XIN Huanhai |
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| Affiliation: | College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; Zhejiang Provincial Key Laboratory of Electrical Equipment & Systems on Marine Renewable Energy, Hangzhou 310027, China,College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; Zhejiang Provincial Key Laboratory of Electrical Equipment & Systems on Marine Renewable Energy, Hangzhou 310027, China,College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; Zhejiang Provincial Key Laboratory of Electrical Equipment & Systems on Marine Renewable Energy, Hangzhou 310027, China and College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; Zhejiang Provincial Key Laboratory of Electrical Equipment & Systems on Marine Renewable Energy, Hangzhou 310027, China |
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| Abstract: | The active power control makes the wind turbine generators(WTG)have the ability to suppress the wind power fluctuations and reduce the system reserve burden. This paper proposes a robust reserve scheduling model considered the WTG de-loading capability that can take the uncertainty of wind power and load into account. The de-loading control for WTG is introduced to quantify the reserve holding level of wind power and the robust constraints including the wind farm reserve limits, the spinning reserve capacity are formulated. Furthermore, the robust optimization model is transformed into a certainty mathematic programming problem based on the duality theory. Then a linear relaxation technology and the spatial branch-and-bound method are used to achieve the global optimum. Finally, the simulation results of a modified IEEE 39-bus system with wind power integrated verify the effectiveness of the proposed method. |
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| Keywords: | reserve scheduling robust optimization de-loading control spatial branch-and-bound |
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