基于改进不确定边界的主动配电网鲁棒优化调度

doi:10.19595/j.cnki.1000-6753.tces.181161

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摘要针对主动配电网中可再生能源出力不确定性问题,提出一种基于改进不确定边界的主动配电网可调节鲁棒优化调度策略。首先,引入可调节鲁棒优化方法,建立含压缩空气储能和柔性负荷的主动配电网鲁棒优化经济调度模型;然而,通过线性对偶理论和拉格朗日变换,将含不确定变量的鲁棒优化模型转换为仅含确定变量的混合整数优化模型;同时利用数学归纳法及不等式性质,通过数学推导提出基于改进不确定边界的鲁棒成本决策方法,并对含不确定变量约束的最大置信度进行定量分析,所提改进边界改善了现有不确定边界的保守度,并具有较好的求解特性,可有效地保证系统鲁棒性和经济性之间的协调关系;最后,采用算例验证了所提调度策略的有效性和合理性。

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	叶畅
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关键词 ：主动配电网, 可调节鲁棒优化, 改进不确定边界, 鲁棒成本, 优化调度

Abstract：In view of the uncertainty of renewable energy generations (REGs) in active distribution network (ADN), an adjustable robust optimal scheduling strategy was proposed for ADN based on improved uncertain boundary. Firstly, adjustable robust optimization method was introduced and a robust optimization economic scheduling model was established for ADN which contains compressed air energy storage system and flexible loads. Through linear duality theory and Lagrange transformation, the robust optimization model with uncertain variables was turned into mixed integer optimization problems, which contains only certain variables and can be solved by conventional solutions. Meanwhile, a decision making method for the price of robustness was proposed based on an improved uncertain boundary. Then quantitative analysis was also done for the maximum confidence of constraints with uncertain variables. The proposed improved boundary improves the conservativeness of the existing robust boundary and has better solution characteristics. Finally, The results illustrate the availability and reasonability of the proposed strategy.

Key words： Active distribution network adjustable robust optimization improved uncertain boundary price of robustness optimal scheduling

收稿日期: 2018-07-06 出版日期: 2019-10-12

PACS:

TM73

基金资助:国家重点研发计划（2016YFB0900400）、国家自然科学基金（51777088）和2018年国家电网总部科技项目（SGHADK00PJJS1800072）资助

通讯作者: 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、微网及配电网新技术。E-mail：shmiao@mail.hust.edu.cn

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。E-mail：yech0131@163.com

引用本文:

叶畅, 苗世洪, 李姚旺, 李超, 徐斌. 基于改进不确定边界的主动配电网鲁棒优化调度[J]. 电工技术学报, 2019, 34(19): 4084-4095. Ye Chang, Miao Shihong, Li Yaowang, Li Chao, Xu Bin. Robust Optimal Scheduling for Active Distribution Network Based on Improved Uncertain Boundary. Transactions of China Electrotechnical Society, 2019, 34(19): 4084-4095.

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