上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (6): 954-964.doi: 10.16183/j.cnki.jsjtu.2022.459
• 新型电力系统与综合能源 • 上一篇
吴振龙1, 刘艳红1(), 薛亚丽2, 李东海2, CHEN Yangquan3
收稿日期:
2022-11-15
修回日期:
2023-03-08
接受日期:
2023-03-10
出版日期:
2024-06-28
发布日期:
2024-07-05
通讯作者:
刘艳红,教授,博士生导师,电话(Tel.):0371-67783113;E-mail: 作者简介:
吴振龙(1992-),副教授,从事PID控制、自抗扰控制及其在热力系统和电力系统中的应用研究.
基金资助:
WU Zhenlong1, LIU Yanhong1(), XUE Yali2, LI Donghai2, CHEN Yangquan3
Received:
2022-11-15
Revised:
2023-03-08
Accepted:
2023-03-10
Online:
2024-06-28
Published:
2024-07-05
摘要:
针对高比例可再生能源并入微电网带来的负荷频率控制问题,提出基于预期动态方程的比例-积分-微分(PID)控制策略.在分析微电网负荷频率控制模型和控制难点的基础上,设计基于预期动态方程的PID控制策略,采用单一变量法分析控制器参数对控制效果的影响,总结了简单、实用的参数整定流程,并在微电网负荷频率控制系统中应用.在不同工况下与多种控制器进行仿真对比,结果表明:所提控制策略能够在保证鲁棒性的前提下取得最佳控制效果,展现出很高的工程应用价值.
中图分类号:
吴振龙, 刘艳红, 薛亚丽, 李东海, CHEN Yangquan. 基于预期动态方程的含高比例可再生能源孤岛运行微电网负荷频率控制[J]. 上海交通大学学报, 2024, 58(6): 954-964.
WU Zhenlong, LIU Yanhong, XUE Yali, LI Donghai, CHEN Yangquan. Load Frequency Control of Islanding Micro-Grid with High-Proportional Renewable Energy Based on Desired Dynamics Equation[J]. Journal of Shanghai Jiao Tong University, 2024, 58(6): 954-964.
[1] | 刘吉臻, 王玮, 胡阳, 等. 新能源电力系统控制与优化[J]. 控制理论与应用, 2016: 33(12): 1555-1561. |
LIU Jizhen, WANG Wei, HU Yang, et al. Control and optimization of alternate electrical power system with renewable energy sources[J]. Control Theory & Applications, 2016, 33(12): 1555-1561. | |
[2] |
陈春, 高靖, 曹一家, 等. 多源配网主动孤岛恢复过程电压频率波动的平抑方法[J]. 上海交通大学学报, 2022, 56(5): 543-553.
doi: 10.16183/j.cnki.jsjtu.2021.418 |
CHEN Chun, GAO Jing, CAO Yijia, et al. Voltage and frequency suppression of intentional islanding restoration process for distribution system with multi-generations[J]. Journal of Shanghai Jiao Tong University, 2022, 56(5): 543-553. | |
[3] | JIANG T Y, JU P, WANG C, et al. Coordinated control of air-conditioning loads for system frequency regulation[J]. IEEE Transactions on Smart Grid, 2021, 12(1): 548-560. |
[4] | ALHELOU H, HAMEDANI-GOLSHAN M E, ZAMANI R, et al. Challenges and opportunities of load frequency control in conventional, modern and future smart power systems: A comprehensive review[J]. Energies, 2018, 11(10): 2497. |
[5] | ABOU EL-ELA A A, EL-SEHIEMY R A, SHAHEEN A M, et al. Design of cascaded controller based on coyote optimizer for load frequency control in multi-area power systems with renewable sources[J]. Control Engineering Practice, 2022, 121: 105058. |
[6] | SINGH K. Load frequency regulation by de-loaded tidal turbine power plant units using fractional fuzzy based PID droop controller[J]. Applied Soft Computing, 2020, 92: 106338. |
[7] | WU Z L, LIU Y H, CHEN Y Q, et al. Load frequency regulation for multi-area power systems with renewable sources via active disturbance rejection control[J]. Energy Reports, 2022, 8: 401-409. |
[8] | MI Y, XU Y W, SHI S, et al. Sliding mode load frequency control design for the novel integrated model of time-delay renewable power system[J]. Proceedings of the CSEE, 2022, 42(11): 3953-3963. |
[9] | MU C X, TANG Y F, HE H B. Improved sliding mode design for load frequency control of power system integrated an adaptive learning strategy[J]. IEEE Transactions on Industrial Electronics, 2017, 64(8): 6742-6751. |
[10] | 杨德友, 蔡国伟. 含规模化风电场/群的互联电网负荷频率广域分散预测控制[J]. 中国电机工程学报, 2015, 35(3): 583-591. |
YANG Deyou, CAI Guowei. Decentralized model predictive control based load frequency control for high wind power penetrated power systems[J]. Proceedings of the CSEE, 2015, 35(3): 583-591. | |
[11] | KAMAL F, CHOWDHURY B. Model predictive control and optimization of networked microgrids[J]. International Journal of Electrical Power & Energy Systems, 2022, 138: 107804. |
[12] | HAN J Q. From PID to active disturbance rejection control[J]. IEEE Transactions on Industrial Electronics, 2009, 56(3): 900-906. |
[13] | YAN Z M, XU Y. Data-driven load frequency control for stochastic power systems:A deep reinforcement learning method with continuous action search[J]. IEEE Transactions on Power Systems, 2019, 34(2): 1653-1656. |
[14] | 范培潇, 柯松, 杨军, 等. 基于改进多智能体深度确定性策略梯度的多微网负荷频率协同控制策略[J]. 电网技术, 2022, 46(9): 3504-3515. |
FAN Peixiao, KE Song, YANG Jun, et al. Load frequency coordinated control strategy of multi-microgrid based on improved MA-DDPG[J]. Power System Technology, 2022, 46(9): 3504-3515. | |
[15] | SOMEFUN O A, AKINGBADE K, DAHUNSI F. The dilemma of PID tuning[J]. Annual Reviews in Control, 2021, 52: 65-74. |
[16] | SHI G J, LI D H, DING Y J, et al. Desired dynamic equational proportional-integral-derivative controller design based on probabilistic robustness[J]. International Journal of Robust & Nonlinear Control, 2022, 32(18): 9556-9592. |
[17] | BALAJI K. Load frequency control in stochastic macro grid[EB/OL]. (2020-12-05)[2022-05-29]. https://www.mathworks.com/matlabcentral/fileexchange/83908-load-frequency-control-in-stochastic-dynamic-micro-grid. |
[18] | ÅSTRÖM K J, PANAGOPOULOS H, HÄGGLUND T. Design of PI controllers based on non-convex optimization[J]. Automatica, 1998, 34(5): 585-601. |
[1] | 杨森, 郭宁, 张寿明. 不确定性条件下农业微电网与灌溉系统相结合的鲁棒优化调度[J]. 上海交通大学学报, 2024, 58(9): 1432-1442. |
[2] | 米阳, 张浩杰, 钱翌明, 邢海军, 龚锦霞, 孙改平. 基于扩散算法的无下垂分布式储能控制[J]. 上海交通大学学报, 2024, 58(6): 836-845. |
[3] | 郭阳1,李绍良2,黄艺明1,骆曼箬1,刘华1. 基于参数共振磁强计的主动磁补偿[J]. J Shanghai Jiaotong Univ Sci, 2024, 29(2): 280-289. |
[4] | 姜恩宇, 陈宇, 施峥靖, 吴哲城, 林顺富, 李东东. 考虑碳配额引导需求响应的微电网能量管理策略[J]. 上海交通大学学报, 2023, 57(9): 1126-1136. |
[5] | 米阳, 李海鹏, 陈博洋, 彭建伟, 魏炜, 姚艳. 基于模糊场景聚类的微电网两阶段优化配置[J]. 上海交通大学学报, 2023, 57(9): 1137-1145. |
[6] | 周儒畅, 王子强, 王杰. 基于预定时间一致性的直流微电网分布式协同控制[J]. 上海交通大学学报, 2023, 57(7): 824-834. |
[7] | 蒋思, 方斯顿. 面向双碳目标的物流中心微电网能效管理研究综述[J]. 上海交通大学学报, 2023, 57(7): 769-780. |
[8] | 符杨, 丁枳尹, 米阳. 计及储能调节的时滞互联电力系统频率控制[J]. 上海交通大学学报, 2022, 56(9): 1128-1138. |
[9] | 潘险险, 陈霆威, 许志恒, 王天伦, 张俊潇. 适应多场景的微电网一体化柔性规划方法[J]. 上海交通大学学报, 2022, 56(12): 1598-1607. |
[10] | 邱明波, 史璟云, 俞晓春, 刘志东. 比例-积分-微分压力控制的放电雾化烧蚀磨削加工方法[J]. 上海交通大学学报, 2019, 53(1): 111-117. |
[11] | 张加林,张一鸣,丁建智,高俊侠. 基于全控整流技术的电磁发射机[J]. 上海交通大学学报(自然版), 2018, 52(9): 1023-1030. |
[12] | 赵俊瑞,王占山,王继东,张化光. 微网故障特性分析及保护方法[J]. 上海交通大学学报(自然版), 2015, 49(06): 913-922. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||