Multiple Time and Space Scale Reactive Power Optimization for Distribution Network with Multi-Heterogeneous RDG Participating in Regulation and Considering Network Dynamic Reconfiguration
Yan Xiangwu, Xu Yun
Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province North China Electric Power University Baoding 071003 China
Abstract:The locality of voltage distribution, diversity of load/power characteristic and pulsation of active power determine that the voltage and reactive power regulation of the distribution network needs “multi-level coordination and step-by-step refinement” in the time domain and the spatial domain. A multi-time-space-scale reactive power optimization model for distribution network is established. In the spatial domain, the coordination of “global collaborative optimization”, “zonal self-regulation” and “global coordinated regulation” is carried out, and network dynamic reconstruction is integrated into the global collaborative optimization. Herein, the “feasible domain” is optimized; and dynamic partitioning and self-regulation is performed based on the modularity function and dynamic reactive reserve index to achieve “partition autonomy”; the partition autonomy control results return to the global level for system-wide detection and coordinated control to improve control accuracy. In the time domain, the global synergistic optimization is 1d cycle 1h granularity, the partition self-regulation is 5min granularity, and the model predictive control “predictive model”, “rolling optimization” and “feedback correction” is embedded in each layer to achieve the “partition layer by layer” optimization control of space-time coupling. Finally, the IEEE 33-node system is taken as an example for simulation analysis. The results show that the model built in this paper achieves granular control in both spatial and temporal domains, which shows significant engineering application value.
颜湘武, 徐韵. 考虑网络动态重构含多异质可再生分布式电源参与调控的配电网多时空尺度无功优化[J]. 电工技术学报, 2019, 34(20): 4358-4372.
Yan Xiangwu, Xu Yun. Multiple Time and Space Scale Reactive Power Optimization for Distribution Network with Multi-Heterogeneous RDG Participating in Regulation and Considering Network Dynamic Reconfiguration. Transactions of China Electrotechnical Society, 2019, 34(20): 4358-4372.
[1] Mahmud Nasif, Zahedi A.Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation[J]. Renewable & Sustainable Energy Reviews, 2016, 64: 582-595. [2] 姚良忠, 朱凌志, 周明, 等. 高比例可再生能源电力系统的协同优化运行技术展望[J]. 电力系统自动化, 2017, 41(9): 36-43. Yao Liangzhong, Zhu Lingzhi, Zhou Ming, et al.Prospects of coordination and optimization for power systems with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2017, 41(9): 36-43. [3] Zubo Rana H A, Mokryani Geev, Rajamani Haile Selassie, et al. Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: a review[J]. Renewable & Sustainable Energy Reviews, 2016, 72: 1177-1198. [4] Tanvir Aman Abdulla, Merabet Adel, Beguenane Rachid.Real-time control of active and reactive power for doubly fed induction generator (DFIG)- based wind energy conversion system[J]. Energies, 2015(8): 10389-10408. [5] 肖浩, 裴玮, 邓卫, 等. 分布式电源对配电网电压的影响分析及其优化控制策略[J]. 电工技术学报, 2016, 31(增刊1): 203-213. Xiao Hao, Pei Wei, Deng Wei, et al.Analysis of the impact of distributed generation on distribution network voltage and its optimal control strategy[J]. Transactions of China Electrotechnical Society, 2016, 31(S1): 203-213. [6] 袁爽, 戴朝华, 赵传, 等. 多异质能源接入下的无功电压局部/全局融合优化[J]. 中国电机工程学报, 2018, 38(4): 1006-1015. Yuan Shuang, Dai Zhaohua, Zhao Chuan, et al.Local/global collaborative optimization of reactive power/voltage with multiple heterogeneous energy sources integration[J]. Proceedings of the CSEE, 2018, 38(4): 1006-1015. [7] 范士雄, 蒲天骄, 刘广一, 等. 主动配电网中分布式发电系统接入技术及其进展[J]. 电工技术学报, 2016, 31(增刊2): 92-101. Fan Shixiong, Pu Tianjiao, Liu Guangyi, et al.Technologies and its trends of grid integration of distributed generation in active distribution net- work[J]. Transactions of China Electrotechnical Society, 2016, 31(S2): 92-101. [8] 窦晓波, 常莉敏, 倪春花, 等. 面向分布式光伏虚拟集群的有源配电网多级调控[J]. 电力系统自动化, 2018, 42(3): 21-31. Dou Xiaobo, Chang Limin, Ni Chunhua, et al.Multi- level dispatching and control of active distribution network for virtual cluster of distributed photo- voltaic[J]. Automation of Electric Power Systems, 2018, 42(3): 21-31. [9] 孙宏斌, 张智刚, 刘映尚, 等. 复杂电网自律协同无功电压优化控制: 关键技术与未来展望[J]. 电网技术, 2017, 41(12): 3741-3749. Sun Hongbin, Zhang Zhigang, Liu Yingshang, et al.Autonomous-synergic voltage control for com- plicated power systems: key technologies and prospects[J]. Power System Technology, 2017, 41(12): 3741-3749. [10] 赵毅, 于继来. 多微网智能配电系统协同自律运控模式初探[J]. 电网技术, 2018, 42(4): 1200-1209. Zhao Yi, Yu Jilai.Preliminary research on operation and control model of coordination and self- discipline for smart distribution system with multi microgrids[J]. Power System Technology, 2018, 42(4): 1200-1209. [11] 郭庆来, 王彬, 孙宏斌, 等. 支撑大规模风电集中接入的自律协同电压控制技术[J]. 电力系统自动化, 2015, 39(1): 88-93, 130. Guo Qinglai, Wang Bin, Sun Hongbin, et al.Autonomous-synergic voltage control technology supporting large-scale wind power integration[J]. Automation of Electric Power Systems, 2015, 39(1): 88-93, 130. [12] 肖传亮, 赵波, 周金辉, 等. 配电网中基于网络分区的高比例分布式光伏集群电压控制[J]. 电力系统自动化, 2017, 41(21): 147-155. Xiao Chuanliang, Zhao Bo, Zhou Jinhui, et al.Network partition based cluster voltage control of high-penetration distributed photovoltaic systems in distribution networks[J]. Automation of Electric Power Systems, 2017, 41(21): 147-155. [13] 冯凯, 应展烽, 陈汹, 等. 计及线路热惯性效应的模型预测控制安全经济调度模型[J]. 电工技术学报, 2018, 33(8): 1875-1883. Feng Kai, Ying Zhanfeng, Chen Xiong, et al.Model predictive control security economic dispatch model considering transmission line thermal inertia effect[J]. Transactions of China Electrotechnical Society, 2018, 33(8): 1875-1883. [14] 刘立阳, 吴军基, 孟绍良. 基于预测控制的含风电滚动优化调度[J]. 电工技术学报, 2017, 32(17): 75-83. Liu Liyang, Wu Junji, Meng Shaoliang.A rolling dispatch model for wind power integrated power system based on predictive control[J]. Transactions of China Electrotechnical Society, 2017, 32(17): 75-83. [15] 朱俊澎, 顾伟, 张韩旦, 等. 考虑网络动态重构的分布式电源选址定容优化方法[J]. 电力系统自动化, 2018, 42(5): 111-119. Zhu Junpeng, Gu Wei, Zhang Handan, et al.Optimal siting and sizing of distributed generators considering dynamic network reconfiguration[J]. Automation of Electric Power Systems, 2018, 42(5): 111-119. [16] 肖轩怡, 汪沨, 陈春, 等. 基于自适应负荷调整网络矩阵的配电网重构[J]. 电工技术学报, 2018, 33(10): 2217-2226. Xiao Xuanyi, Wang Feng, Chen Chun, et al.A network reconfiguration method based on adaptive load regulation matrix[J]. Transactions of China Electrotechnical Society, 2018, 33(10): 2217-2226. [17] 蔡宇, 林今, 宋永华, 等. 基于模型预测控制的主动配电网电压控制[J]. 电工技术学报, 2015, 30(23): 42-49. Cai Yu, Lin Jin, Song Yonghua, et al.Voltage control strategy in active distribution network based on model predictive control[J]. Transactions of China Electrotechnical Society, 2015, 30(23): 42-49. [18] 刘方, 杨秀, 时珊珊, 等. 基于序列运算的微网经济优化调度[J]. 电工技术学报, 2015, 30(20): 227-237. Liu Fang, Yang Xiu, Shi Shanshan, et al.Economic operation of micro-grid based on sequence operation[J]. Transactions of China Electrotechnical Society, 2015, 30(20): 227-237. [19] 王成山, 宋关羽, 李鹏, 等. 考虑分布式电源运行特性的有源配电网智能软开关SOP规划方法[J]. 中国电机工程学报, 2017, 37(7): 1889-1897. Wang Chengshan, Song Guanyu, Li Peng, et al.Optimal configuration of soft open point for active distribution network considering the characteristics of distributed generation[J]. Proceedings of the CSEE, 2017, 37(7): 1889-1897. [20] 邢海军, 程浩忠, 张逸. 基于多种主动管理策略的配电网综合无功优化[J]. 电网技术, 2015, 39(6): 1504-1510. Xing Haijun, Cheng Haozhong, Zhang Yi.Reactive power comprehensive optimization in distribution network based on multiple active management schemes[J]. Power System Technology, 2015, 39(6): 1504-1510. [21] 王志强, 郭晨阳, 刘文霞, 等. 计及负荷特性的配电网多时间尺度电压控制及协调修正[J]. 电力系统自动化, 2017, 41(15): 51-57. Wang Zhiqiang, Guo Chenyang, Liu Wenxia, et al.Multi-time scale voltage control and coordinated correction for distribution networks considering load characteristics[J]. Automation of Electric Power Systems, 2017, 41(15): 51-57. [22] 徐志成, 赵波, 丁明, 等. 基于电压灵敏度的配电网光伏消纳能力随机场景模拟及逆变器控制参数优化整定[J]. 中国电机工程学报, 2016, 36(6): 1578-1587. Xu Zhicheng, Zhao Bo, Ding Ming, et al.Photovoltaic hosting capacity evaluation of distri- bution networks and inverter parameters optimization based on node voltage sensitivity[J]. Proceedings of the CSEE, 2016, 36(6): 1578-1587. [23] 严干贵, 王茂春, 穆钢, 等. 双馈异步风力发电机组联网运行建模及其无功静态调节能力研究[J]. 电工技术学报, 2008, 23(7): 98-104. Yan Gangui, Wang Maochun, Mu Gang, et al.Modeling of grid-connected doubly-fed induction generator for reactive power static regulation capacity study[J]. Transactions of China Electro- technical Society, 2008, 23(7): 98-104. [24] 吴文传, 张伯明, 巨云涛. 主动配电网网络分析与运行调控[M]. 北京: 科学出版社, 2017. [25] 丁明, 刘先放, 毕锐, 等. 采用综合性能指标的高渗透率分布式电源集群划分方法[J]. 电力系统自动化, 2018, 42(15): 47-52, 141. Ding Ming, Liu Xianfang, Bi Rui, et al.Method for cluster partition of high-penetration distributed generators based on comprehensive performance index[J]. Automation of Electric Power Systems, 2018, 42(15): 47-52, 141. [26] 韦钢, 李明, 卢炜, 等. 充放储一体站并网的多级阶梯电压控制分区方法[J]. 中国电机工程学报, 2015, 35(15): 3823-3831. Wei Gang, Li Ming, Lu Wei, et al.Multistage ladder voltage control partitioning method containing grid- connected charging-discharging-storage integrative station[J]. Proceedings of the CSEE, 2015, 35(15): 3823-3831.