| 引用本文: | 杨楠,王璇,周峥,等.基于改进约束序优化方法的带安全约束的不确定性机组组合问题研究[J].电力系统保护与控制,2018,46(11):109-117.[点击复制] |
| YANG Nan,WANG Xuan,ZHOU Zheng,et al.Research on uncertain unit commitment problem with security constraints based on improved constraint ordinal optimization method[J].Power System Protection and Control,2018,46(11):109-117[点击复制] |
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| 摘要: |
| 为快速有效地求解考虑间歇性可再生能源接入的SCUC问题，在现有约束序优化的基础上，提出了一种适用于不确定性SCUC问题求解的改进约束序优化算法。该方法针对序优化的粗糙模型和精确模型分别融入了离散变量识别策略和无效安全约束削减策略。相比于传统求解方法，提出的改进约束序优化算法在充分发挥传统序优化计算效率方面优势的同时，进一步增强了算法的紧凑性，降低了计算冗余度，有效提升了算法的求解效率。基于IEEE-118节点标准算例的仿真验证了所提算法的正确性和有效性。 |
| 关键词: 约束序优化 无效安全约束识别 离散变量辨识 考虑安全约束的机组组合 风力发电 |
| DOI：10.7667/PSPC171312 |
| 投稿时间：2017-09-01修订日期：2017-11-09 |
| 基金项目:国家自然科学基金项目(51607104) |
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| Research on uncertain unit commitment problem with security constraints based on improved constraint ordinal optimization method |
| YANG Nan,WANG Xuan,ZHOU Zheng,CHEN Daojun,LI Suoya,LI Hongsheng |
| (New Energy Micro-grid Collaborative Innovation Center of Hubei Province China Three Gorges University, Yichang 443002, China;Wuhan Power Supply Company, State Grid Hubei Electric Power Company, Wuhan 430014, China;State Grid Hunan Electric Power Corporation Research Institute, Changsha 410007, China) |
| Abstract: |
| For the sake of solving the Security Constrained Unit Commitment (SCUC) problem of intermittent renewable energy access quickly and effectively, an improved ordinal optimization algorithm which can be applied to solve the uncertain SCUC problem is proposed on the basis of existing constrained ordinal optimization. In order to solve the crude model and precise model, discrete variable identification strategy and effective security constraint reduction strategy are respectively adopted. Compared to the traditional method, this modified ordinal optimization algorithm gives full play to the traditional ordinal optimization in computational efficiency while further enhances the compactness and reduces the computation redundancy. The correctness and effectiveness of the proposed algorithm are verified by the IEEE-118 simulation results. This work is supported by National Natural Science Foundation of China (No. 51607104). |
| Key words: constrained ordinal optimization invalid security constraint identification discrete variable identification security constrained unit commitment wind power |
