[1] KUNDUR P. Power system stability and control[M]. New York: McGraw-Hill, 1994. [2] 杨蕾, 王智超, 周鑫, 等. 大规模双馈风电机组并网频率稳定控制策略[J]. 中国电力, 2021, 54(5): 186–194 YANG Lei, WANG Zhichao, ZHOU Xin, et al. Frequency stability control strategy for large-scale grid connections with DFIG units[J]. Electric Power, 2021, 54(5): 186–194 [3] 付红军, 陈惠粉, 赵华, 等. 高渗透率下风电的调频技术研究综述[J]. 中国电力, 2021, 54(1): 104–115 FU Hongjun, CHEN Huifen, ZHAO Hua, et al. Review on frequency regulation technology with high wind power penetration[J]. Electric Power, 2021, 54(1): 104–115 [4] 赵志高, 周建中, 张勇传, 等. 抽水蓄能机组复杂空载工况增益自适应PID控制[J]. 电网技术, 2018, 42(12): 3918–3927 ZHAO Zhigao, ZHOU Jianzhong, ZHANG Yongchuan, et al. Heuristic gain-scheduling nonlinear PID control of pumped storage units under complicated no-load condition[J]. Power System Technology, 2018, 42(12): 3918–3927 [5] 单华, 和婧, 范立新, 等. 面向抽水蓄能电站区域负荷频率的分数阶PID控制研究[J]. 电网技术, 2020, 44(4): 1410–1418 SHAN Hua, HE Jing, FAN Lixin, et al. Research on fractional order PID control of regional load frequency of pumped storage power station[J]. Power System Technology, 2020, 44(4): 1410–1418 [6] 许颜贺, 周建中, 薛小明, 等. 抽水蓄能机组空载工况分数阶PID调节控制[J]. 电力系统自动化, 2015, 39(18): 43–48 XU Yanhe, ZHOU Jianzhong, XUE Xiaoming, et al. Fractional order PID-based regulation and control of pumped storage units under no-load condition[J]. Automation of Electric Power Systems, 2015, 39(18): 43–48 [7] 鄢波, 李超顺, 徐教锋, 等. 大型水电机组调节系统无模型自适应PID控制器设计[J]. 水电能源科学, 2020, 38(11): 145–148, 159 YAN Bo, LI Chaoshun, XU Jiaofeng, et al. Model-free adaptive-PID controller design for large hydropower units regulating system[J]. Water Resources and Power, 2020, 38(11): 145–148, 159 [8] 唐耀华, 郭为民, 崔杨. 水-火电机组频率控制策略研究[J]. 中国电力, 2020, 53(6): 153–160, 178 TANG Yaohua, GUO Weimin, CUI Yang. Research on the frequency control strategy of hydro-thermal power generating units[J]. Electric Power, 2020, 53(6): 153–160, 178 [9] 巩宇. 大型抽水蓄能机组调速器各工况控制算法研究及应用[J]. 水力发电, 2012, 38(8): 61–64, 85 GONG Yu. Control algorithm of governor under different operating conditions of large-scale pumped-storage units and its application[J]. Water Power, 2012, 38(8): 61–64, 85 [10] 王春. 水电机组一次调频理论积分电量计算方法[J]. 水电能源科学, 2021, 39(10): 186–189 WANG Chun. Calculation method of theoretical integral electric quantity for primary frequency regulation of hydropower units[J]. Water Resources and Power, 2021, 39(10): 186–189 [11] 张东升, 许中平, 郭翔. 含风电互联电网负荷频率鲁棒控制模型构建[J]. 制造业自动化, 2022, 44(6): 156–160 ZHANG Dongsheng, XU Zhongping, GUO Xiang. Construction of robust control model for load frequency of interconnected power grid with wind power[J]. Manufacturing Automation, 2022, 44(6): 156–160 [12] 邹屹东, 钱晶, 张文英, 等. 基于CPSOGSA算法的风-光-小水电微电网负荷频率最优H2/H∞鲁棒控制[J]. 电力系统保护与控制, 2022, 50(11): 42–51 ZOU Yidong, QIAN Jing, ZHANG Wenying, et al. Optimal H2/H∞ robust control for the load frequency of a microgrid including wind power-photovoltaic-small hydropower based on CPSOGSA[J]. Power System Protection and Control, 2022, 50(11): 42–51 [13] 邹金, 赖旭, 汪宁渤. 大规模风电并网下的抽水蓄能机组调频控制研究[J]. 中国电机工程学报, 2017, 37(2): 564–572 ZOU Jin, LAI Xu, WANG Ningbo. Study on control of pumped storage units for frequency regulation in power systems integrated with large-scale wind power generation[J]. Proceedings of the CSEE, 2017, 37(2): 564–572 [14] 李红伟, 张力丹, 韩璐, 等. 基于下垂控制的直流电网线性潮流计算研究[J]. 智慧电力, 2021, 49(12): 66–71, 103 LI Hongwei, ZHANG Lidan, HAN Lu, et al. Research on linear power flow calculation of DC network based on sag control[J]. Smart Power, 2021, 49(12): 66–71, 103 [15] 张嘉诚, 夏向阳, 邓子豪, 等. 储能电站安全参与电网一次调频的优化控制策略[J]. 中国电力, 2022, 55(2): 19–27 ZHANG Jiacheng, XIA Xiangyang, DENG Zihao, et al. Optimal control strategy for energy storage power station in primary frequency regulation of power grid[J]. Electric Power, 2022, 55(2): 19–27 [16] 沈祖诒. 水轮机调节[M]. 3版. 北京: 中国水利水电出版社, 1998. [17] 卫志农, 张清松, 赵静波, 等. 电力系统线性化模型研究综述与改进[J]. 电网技术, 2017, 41(9): 2919–2927 WEI Zhinong, ZHANG Qingsong, ZHAO Jingbo, et al. Review and improvement of power system linearization models[J]. Power System Technology, 2017, 41(9): 2919–2927 [18] 姜涛, 朱金福. 权重不确定情形下中心选址的鲁棒优化方法[J]. 统计与决策, 2007(5): 32–33 JIANG Tao, ZHU Jinfu. Robust optimization method for center location under uncertain weight[J]. Statistics & Decision, 2007(5): 32–33 [19] 王晓兰, 王科祖. 基于LMI的直流微电网分布式鲁棒H∞控制[J]. 太阳能学报, 2022, 43(5): 45–52 WANG Xiaolan, WANG Kezu. Distributed robust h∞ control in dc microgrid based on linear matrix inequaliities[J]. Acta Energiae Solaris Sinica, 2022, 43(5): 45–52 [20] 庄旭, 戈宝军, 陶大军. 基于分块Hankel矩阵的抽水蓄能电机扩展卡尔曼滤波模型子空间循环辨识[J]. 中国电机工程学报, 2017, 37(24): 7328–7337, 7447 ZHUANG Xu, GE Baojun, TAO Dajun. Sub space cycle identification of pumped storage motor extended calman filter model based on block Hankel matrix[J]. Proceedings of the CSEE, 2017, 37(24): 7328–7337, 7447 [21] 邵凯旋, 何怡刚, 汪磊. 基于多尺度熵分析与改进SVM的变压器故障识别[J]. 电子测量与仪器学报, 2022, 36(6): 161–168 SHAO Kaixuan, HE Yigang, WANG Lei. Fault identification of transformer based on multiscale entropy analysis and improved SVM[J]. Journal of Electronic Measurement and Instrumentation, 2022, 36(6): 161–168 [22] 左剑, 谢平平, 李银红, 等. 基于智能优化算法的互联电网负荷频率控制器设计及其控制性能分析[J]. 电工技术学报, 2018, 33(3): 478–489 ZUO Jian, XIE Pingping, LI Yinhong, et al. Intelligent optimization algorithm based load frequency controller design and its control performance assessment in interconnected power grids[J]. Transactions of China Electrotechnical Society, 2018, 33(3): 478–489 [23] 田书欣, 刘浪, 魏书荣, 等. 基于改进灰狼优化算法的配电网动态重构[J]. 电力系统保护与控制, 2021, 49(16): 1–11 TIAN Shuxin, LIU Lang, WEI Shurong, et al. Dynamic reconfiguration of a distribution network based on an improved grey wolf optimization algorithm[J]. Power System Protection and Control, 2021, 49(16): 1–11 [24] FU W L, WANG K, TAN J W, et al. A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting[J]. Energy Conversion and Management, 2020, 205: 112461. [25] 陈晨, 李平康, 贾智州. 基于鲁棒方差优化的电力系统频率控制研究[J]. 电力系统保护与控制, 2016, 44(11): 53–60 CHEN Chen, LI Pingkang, JIA Zhizhou. Frequency control for power systems based on robust variance optimization[J]. Power System Protection and Control, 2016, 44(11): 53–60 |