电工技术学报  2020, Vol. 35 Issue (1): 189-200    DOI: 10.19595/j.cnki.1000-6753.tces.190809
电力系统 |
考虑风电高阶不确定性的分布式鲁棒优化调度模型
夏鹏1, 刘文颖1, 张尧翔1, 王维洲2, 张柏林2
1. 新能源电力系统国家重点实验室(华北电力大学) 北京 102206;
2. 国网甘肃省电力公司 兰州 730050
A Distributionally Robust Optimization Scheduling Model Considering Higher-Order Uncertainty of Wind Power
Xia Peng1, Liu Wenying1, Zhang Yaoxiang1, Wang Weizhou2, Zhang Bolin2
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China;
2. State Grid Gansu Electric Power Company Lanzhou 730050 China
全文: PDF (2406 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 传统计及风电不确定性优化调度方法忽略了风电概率分布规律的高阶不确定性特征,在运行成本、风电消纳水平方面存在进一步优化的空间,为此,建立一种考虑风电高阶不确定性的分布式鲁棒优化调度模型。首先,引入云模型理论,建立能够同时描述风电功率及其概率分布不确定性的风电高阶不确定性模型;在此基础上,结合分布式鲁棒优化理论,以系统综合运行成本最低为优化目标,建立考虑风电高阶不确定性的分布式鲁棒优化调度模型;引入多维序列运算理论,离散化处理风电高阶不确定性云模型,将分布式鲁棒优化模型转换为两阶段非线性优化模型,简化求解。最后,以某地区电网为例,验证了所提模型在提升含风电接入系统优化调度效果方面的有效性。
服务
把本文推荐给朋友
加入我的书架
加入引用管理器
E-mail Alert
RSS
作者相关文章
夏鹏
刘文颖
张尧翔
王维洲
张柏林
关键词 风电高阶不确定性云模型分布式鲁棒优化优化调度    
Abstract:Higher-order uncertainty of wind power probability distribution is ignored in traditional optimal dispatching methods considering wind power uncertainty, and there is further optimization space for operation cost and wind power consumption capacity. Therefore, a distributionally robust optimization scheduling model considering higher-order uncertainty of wind power was proposed in this paper. Firstly, a wind power higher-order uncertainty model was established by introducing cloud model theory, which could simultaneously describe the uncertainty of wind power and its probability distribution. On this basis, combined with distributionally robust optimization theory, taking the lowest comprehensive operation cost as optimal target, a distributionally robust optimization scheduling model was established. And then, multi-dimensional sequential operation theory was introduced to discretize the higher-order uncertainty cloud model of wind power, so as to transform distributionally robust optimization model into a two-stage nonlinear optimization model and simplified its solution. Finally the effectiveness of proposed model in improving optimal dispatching effect of wind power system are verified.
Key wordsWind power    higher-order uncertainty    cloud model    distributionally robust optimization    optimal scheduling   
收稿日期: 2019-07-05      出版日期: 2020-01-17
PACS: TM732  
基金资助:国家科技支撑计划项目(2015BAA01B04)、国家电网公司科技项目(SGGSKY00DJJS1900024)和中央高校基本科研业务费专项(2019QN118)资助
通讯作者: 夏 鹏 男,1992年生,博士研究生,研究方向为电力系统分析与控制,新能源电力系统特性与多能互补。E-mail:xiapeng23@163.com   
作者简介: 刘文颖 女,1955年生,教授,博士生导师,电力系统分析与控制,新能源电力系统特性与多能互补。E-mail:liuwenyingls@sina.com
引用本文:   
夏鹏, 刘文颖, 张尧翔, 王维洲, 张柏林. 考虑风电高阶不确定性的分布式鲁棒优化调度模型[J]. 电工技术学报, 2020, 35(1): 189-200. Xia Peng, Liu Wenying, Zhang Yaoxiang, Wang Weizhou, Zhang Bolin. A Distributionally Robust Optimization Scheduling Model Considering Higher-Order Uncertainty of Wind Power. Transactions of China Electrotechnical Society, 2020, 35(1): 189-200.
链接本文:  
https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.190809          https://dgjsxb.ces-transaction.com/CN/Y2020/V35/I1/189