Page 5 - 《中国电力》2026年第4期
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第 59 卷 第 4 期                                                                          Vol. 59, No. 4
               2026 年 4 月                            ELECTRIC POWER                                   Apr. 2026

              引用格式:阮宏华, 邓子琦, 陈飞雄, 等. 风水储联合运行双层滚动优化调度方法[J]. 中国电力, 2026, 59(4): 1−11.
              Citation: RUAN Honghua, DENG Ziqi, CHEN Feixiong, et al. Double layer rolling based optimization model for joint operation of wind-hydro-
              storage system[J]. Electric Power, 2026, 59(4): 1−11.



                           风水储联合运行双层滚动优化调度方法



                                      阮宏华 ,邓子琦 ,陈飞雄 ,林俊杰                             2
                                                                         2
                                                            1
                                               1
                (1. 福建华电电力工程有限公司,福建 福州 350000;2. 福州大学 电气工程与自动化学院,福建 福州 350000)
                             Double layer rolling based optimization model for joint
                                      operation of wind-hydro- storage system

                                                                              2
                                                              1
                                                  1
                                   RUAN Honghua , DENG Ziqi , CHEN Feixiong , LIN Junjie 2
                                   (1. Fujian Huadian Electric Power Engineering Co., Ltd., Fuzhou 350000, China;
                            2. Department of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350000, China)

              Abstract: With the gradual increase in the penetration rate of  power stations; model predictive control; two-layer rolling
              wind  power  and  other  renewable  energy  sources,  the
              uncertainty  of  power  grids  operation  has  intensified  摘 要:随着风电等新能源的渗透率逐步提高,电网运
              accordingly. How to safely and efficiently exert the regulating  行的不确定性也随之加剧,如何安全、高效地发挥水电
              effect  of  hydropower  is  of  great  significance  to  the  stable  的调节作用对电网的稳定运行具有重要意义。为此,提
              operation of power grids. To this end, a bi-level rolling optimal  出 一 种 风 水 储 联 合 运 行 的 双 层 滚 动 优 化 调 度 方 法 。 首
              scheduling  method  for  the  joint  operation  of  wind-hydro-  先,构建风水储联合运行的双层滚动优化控制模型,上
              storage  systems  is  proposed.  First,  a  bi-level  rolling  optimal  层 优 化 基 于 长 时 间 尺 度 , 以 最 小 化 系 统 运 行 成 本 为 目
              control  model  for  wind-hydro-storage  joint  operation  is  标,下层优化基于短时间尺度,以最小化系统出力偏差
              constructed.  The  upper-level  optimization  is  based  on  a  long  为目标;其次,采用模型预测控制方法对优化模型进行
              time  scale,  with  the  goal  of  minimizing  the  system  operation  求解,通过下层的实时滚动优化对上层调度计划进行反
              cost; the lower-level optimization is based on a short time scale,  馈校正,降低了不确定性对系统的影响。最后,以中国
              aiming  to  minimize  the  system  output  deviation.  Second,  the  南方某梯级水电系统为算例对象进行仿真分析,验证了
              model predictive control (MPC) method is adopted to solve the  所提方法在提升能源利用效率、降低运行成本和处理不
              optimization  model.  The  real-time  rolling  optimization  of  the  确定性方面的有效性。
              lower  level  is  used  to  feedback  and  correct  the  upper-level  关键词:可再生能源;不确定性;梯级水电站;模型预
              scheduling plan, thereby reducing the impact of uncertainty on  测控制;双层滚动
              the  system.  Finally,  a  case  study  is  carried  out  on  a  cascade  DOI:10.11930/j.issn.1004-9649.202504088

              hydropower  system  in  South  China.  The  simulation  results
              verify  the  effectiveness  of  the  proposed  method  in  improving
                                                                0    引言
              energy  utilization  efficiency,  reducing  operation  costs  and
              addressing system uncertainty.
                                                                    近年来,以水电、风电为代表的可再生能源
              This work is supported by National Natural Science Foundation
                                                                已成为电能生产的重要来源              [1-3] 。然而,风电出力
              of China (No.52107080), Natural Science Foundation of Fujian
                                                                具有波动性和随机性的特征,在实际系统中时常
              Province (No.2021J05135).
              Keywords:  renewable  energy;  uncertainty;  cascade  hydro-  出现大量弃风,风电资源利用率较低,给系统的
                                                                稳定运行带来巨大挑战            [4-5] 。梯级水电站具有库容
              收稿日期:2025−04−29; 修回日期:2026−01−14。                 调节能力强、响应迅速、运行灵活等特点,其与
              基金项目:国家自然科学基金资助项目(52107080);福                     风电协同运行被认为是促进大规模风电并网消纳
              建省自然科学基金资助项目(2021J05135)。                         的有效解决方案        [6-7] 。为此,如何在风电等不确定

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