电工技术学报  2018, Vol. 33 Issue (23): 5509-5522    DOI: 10.19595/j.cnki.1000-6753.tces.171759
电力系统 |
基于改进并行子空间算法的输配两级电网协同优化
叶畅, 苗世洪, 李超, 杨炜晨, 孙丹丹
华中科技大学电气与电子工程学院强电磁工程与新技术国家重点实验室 武汉 430074
Coordination Optimal Scheduling Strategy for Transmission and Distribution System Based on Improved CSSO Algorithm
Ye Chang, Miao Shihong, Li Chao, Yang Weichen, Sun Dandan
State Key Laboratory of Advanced Electromagnetic Engineering and TechnologySchool of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China
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摘要 针对传统输配分离调度可能产生的边界功率不平衡、资源利用不充分等问题,提出一种从全局角度对系统进行优化的输配两级电网协同调度策略。首先,以输配系统整体供电成本最低为目标函数,建立了输配两级电网基础调度模型,并讨论了相应的约束条件。为了降低该模型求解的复杂度,引入改进并行子空间算法对该模型进行标准化处理,进而建立了基于改进并行子空间算法的输配两级电网协同调度通用模型。该模型将输电网和各配电网作为并行子空间进行学科分析,并在系统层统一完成优化设计,可有效避免优化过程中输配网频繁地进行信息交互。此外,为了进一步提高求解效率,提出输配两级电网学科响应面近似模型的构建方法,并采用径向基函数(RBF)神经网络对学科分析过程进行拟合。最后,采用仿真算例验证了所提调度策略的必要性和有效性。
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叶畅
苗世洪
李超
杨炜晨
孙丹丹
关键词 输配协同优化调度并行子空间RBF神经网络响应面    
Abstract:In view of the unbalanced boundary power and insufficient utilization of grid resources resulted from traditional separation scheduling schemes, a coordination optimal scheduling strategy was proposed to optimize the transmission and distribution (T&D) system from an overall perspective. Firstly, taking the minimum power supply cost as the objective function, a basic scheduling model was established and the corresponding constraints were discussed. In order to reduce complexity of solving the aforesaid model, an improved concurrent subspace optimization (CSSO) algorithm was introduced, and then a universal model of coordination optimal scheduling for the T&D system was established. This universal model regards the T&D grids as concurrent subspaces for disciplinary analysis, and completes the optimal design unified in the system layer. In addition, construction method of response surface approximation model was proposed, in order to imitate the discipline analysis process by RBF neural networks. The results illustrate the availability and necessity of the proposed strategy.
Key wordsIntegration of transmission and distribution    optimal scheduling    concurrent subspace optimization    RBF neural networks    response surface   
收稿日期: 2018-01-02      出版日期: 2018-12-17
PACS: TM73  
基金资助:国家重点研发计划项目(2016YFB0900400)和国家自然科学基金项目(51777088)资助
作者简介: 叶 畅 男,1989年生,博士研究生,研究方向为主动配电网协调优化及运行控制技术。E-mail:yech0131@163.com;苗世洪 男,1963年生,教授,博士生导师,研究方向为电力系统继电保护及智能电网协调控制技术。E-mail:shmiao@mail.hust.edu.cn(通信作者)
引用本文:   
叶畅, 苗世洪, 李超, 杨炜晨, 孙丹丹. 基于改进并行子空间算法的输配两级电网协同优化[J]. 电工技术学报, 2018, 33(23): 5509-5522. Ye Chang, Miao Shihong, Li Chao, Yang Weichen, Sun Dandan. Coordination Optimal Scheduling Strategy for Transmission and Distribution System Based on Improved CSSO Algorithm. Transactions of China Electrotechnical Society, 2018, 33(23): 5509-5522.
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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.171759          https://dgjsxb.ces-transaction.com/CN/Y2018/V33/I23/5509