A Cluster Partition Method for Distributed Generation Considering Flexibility Supply-Demand Balance and Response Speed

doi:10.11930/j.issn.1004-9649.202203115

Abstract

Abstract: The large-scale connection of distributed generation (DG) to the power grid brings about significant difficulties to the conventional centralized regulation of the power system. In order to improve the regulation flexibility of distributed generation cluster (DGC), a cluster partition method is proposed considering the supply-demand balance and response speed of DGC. Firstly, the cluster climbing flexibility is analyzed and a power allocation strategy is proposed to meet the demand of FM flexibility. Then, the DGC supply and demand balance index and response speed index are proposed, and the cluster partition method is obtained. Finally, an IEEE 33 node example is given to verify the effectiveness of the proposed method.

Key words: cluster partition, distributed generation, climbing flexibility, frequency flexibility

YE Chang, YI Huamao, ZHU Jiongda, ZHAO Jingjing, WU Lian. A Cluster Partition Method for Distributed Generation Considering Flexibility Supply-Demand Balance and Response Speed[J]. Electric Power, 2023, 56(2): 150-156.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202203115

https://www.electricpower.com.cn/EN/Y2023/V56/I2/150

References

[1] 李振坤, 陈思宇, 符杨, 等. 基于时序电压灵敏度的有源配电网储能优化配置[J]. 中国电机工程学报, 2017, 37(16): 4630–4640, 4888
LI Zhenkun, CHEN Siyu, FU Yang, et al. Optimal allocation of ESS in distribution network containing DG base on timing-voltage-sensitivity analysis[J]. Proceedings of the CSEE, 2017, 37(16): 4630–4640, 4888
[2] ABDMOULEH Z, GASTLI A, BEN-BRAHIM L, et al. Review of optimization techniques applied for the integration of distributed generation from renewable energy sources[J]. Renewable Energy, 2017, 113: 266–280.
[3] 丁明, 王伟胜, 王秀丽, 等. 大规模光伏发电对电力系统影响综述[J]. 中国电机工程学报, 2014, 34(1): 1–14
DING Ming, WANG Weisheng, WANG Xiuli, et al. A review on the effect of large-scale PV generation on power systems[J]. Proceedings of the CSEE, 2014, 34(1): 1–14
[4] 杨作祥, 王晶晶, 吴江, 等. 计及源荷不确定性的配电网综合节能潜力评估方法[J]. 中国电力, 2022, 55(8): 151–156, 164
YANG Zuoxiang, WANG Jingjing, WU Jiang, et al. Assessment method of comprehensive energy saving potential of distribution network considering source-load power uncertainty[J]. Electric Power, 2022, 55(8): 151–156, 164
[5] 梁志峰, 叶畅, 刘子文, 等. 分布式电源集群并网调控: 体系架构与关键技术[J]. 电网技术, 2021, 45(10): 3791–3802
LIANG Zhifeng, YE Chang, LIU Ziwen, et al. Grid-connected scheduling and control of distributed generations clusters: architecture and key technologies[J]. Power System Technology, 2021, 45(10): 3791–3802
[6] 盛万兴, 吴鸣, 季宇, 等. 分布式可再生能源发电集群并网消纳关键技术及工程实践[J]. 中国电机工程学报, 2019, 39(8): 2175–2186
SHENG Wanxing, WU Ming, JI Yu, et al. Key techniques and engineering practice of distributed renewable generation clusters integration[J]. Proceedings of the CSEE, 2019, 39(8): 2175–2186
[7] 毕锐, 刘先放, 丁明, 等. 以提高消纳能力为目标的可再生能源发电集群划分方法[J]. 中国电机工程学报, 2019, 39(22): 6583–6592
BI Rui, LIU Xianfang, DING Ming, et al. Renewable energy generation cluster partition method aiming at improving accommodation capacity[J]. Proceedings of the CSEE, 2019, 39(22): 6583–6592
[8] COTILLA-SANCHEZ E, HINES P D H, BARROWS C, et al. Multi-attribute partitioning of power networks based on electrical distance[J]. IEEE Transactions on Power Systems, 2013, 28(4): 4979–4987.
[9] 丁明, 高平平, 毕锐, 等. 考虑灵活性高渗透率可再生能源集群划分方法[J]. 电力系统及其自动化学报, 2021, 33(1): 115–122, 150
DING Ming, GAO Pingping, BI Rui, et al. Cluster partition method for high-permeability renewable energy considering flexibility[J]. Proceedings of the CSU-EPSA, 2021, 33(1): 115–122, 150
[10] 魏震波. 复杂网络社区结构及其在电网分析中的应用研究综述[J]. 中国电机工程学报, 2015, 35(7): 1567–1577
WEI Zhenbo. Overview of complex networks community structure and its applications in electric power network analysis[J]. Proceedings of the CSEE, 2015, 35(7): 1567–1577
[11] SRINIVAS M, PATNAIK L M. Adaptive probabilities of crossover and mutation in genetic algorithms[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1994, 24(4): 656–667.
[12] PREDA T N, UHLEN K, NORDGÅRD D E. Clustering distributed generation using the instantaneous Euclidean distance in polar coordinates[C]//IEEE PES ISGT Europe. Lyngby, Denmark. IEEE, 2014: 1–5.
[13] BISERICA M, FOGGIA G, CHANZY E, et al. Network partition for coordinated control in active distribution networks[C]//2013 IEEE Grenoble Conference. Grenoble, France. IEEE, 2013: 1–5.
[14] 赵东元, 胡楠, 傅靖, 等. 提升新能源电力系统灵活性的中国实践及发展路径研究[J]. 电力系统保护与控制, 2020, 48(24): 1–8
ZHAO Dongyuan, HU Nan, FU Jing, et al. Research on the practice and road map of enhancing the flexibility of a new generation power system in China[J]. Power System Protection and Control, 2020, 48(24): 1–8
[15] 肖定垚, 王承民, 曾平良, 等. 电力系统灵活性及其评价综述[J]. 电网技术, 2014, 38(6): 1569–1576
XIAO Dingyao, WANG Chengmin, ZENG Pingliang, et al. A survey on power system flexibility and its evaluations[J]. Power System Technology, 2014, 38(6): 1569–1576
[16] 鲁宗相, 李海波, 乔颖. 高比例可再生能源并网的电力系统灵活性评价与平衡机理[J]. 中国电机工程学报, 2017, 37(1): 9–20
LU Zongxiang, LI Haibo, QIAO Ying. Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity[J]. Proceedings of the CSEE, 2017, 37(1): 9–20
[17] NEWMAN M J. Modularity and community structure in networks[J]. Proceedings of the National Academy of Sciences of the United States of America, 2006, 103(23): 8577–8582.
[18] 刘先放. 高渗透率分布式可再生能源发电集群划分方法研究[D]. 合肥: 合肥工业大学, 2019.
LIU Xianfang. Study on cluster partition method of high permeability distributed renewable energy power generation[D]. Hefei: Hefei University of Technology, 2019.
[19] 郭祚刚, 徐敏, 于浩, 等. 考虑多重不确定性的园区综合能源系统区间优化调度[J]. 中国电力, 2022, 55(11): 121–128, 141
GUO Zuogang, XU Min, YU Hao, et al. Interval optimal dispatching of community integrated energy system considering multiple uncertainties[J]. Electric Power, 2022, 55(11): 121–128, 141
[20] 张黎明, 李浩, 吴亚雄, 等. 基于运行优化的含储能电力系统可靠性评估方法[J]. 中国电力, 2022, 55(9): 23–28
ZHANG Liming, LI Hao, WU Yaxiong, et al. A reliability evaluation method for power system with energy storage based on operation optimization[J]. Electric Power, 2022, 55(9): 23–28
[21] 黄飞, 陈纪宇, 欧阳金鑫, 等. 基于正序电压差的含分布式电源配电网断线接地复合故障定位方法[J]. 电力系统保护与控制, 2022, 50(24): 37–48
HUANG Fei, CHEN Jiyu, OUYANG Jinxin, et al. Fault location method of a compound break fault with grounding for distribution network contained distributed generation based on positive sequence voltage difference[J]. Power System Protection and Control, 2022, 50(24): 37–48
[22] 侯祖锋, 陈建钿, 丘冠新, 等. 考虑分布式电源无功调节的配电网两级动态无功调度策略[J]. 电力系统保护与控制, 2022, 50(6): 158–164
HOU Zufeng, CHEN Jiandian, QIU Guanxin, et al. Two-level dynamic reactive power scheduling strategy in a distribution network considering reactive power regulation of distributed generation[J]. Power System Protection and Control, 2022, 50(6): 158–164
[23] 叶耀, 龚锦霞, 李琛舟, 等. 一种考虑分布式电源的配电自动化系统规划方法[J]. 智慧电力, 2022, 50(10): 109–115
YE Yao, GONG Jinxia, LI Chenzhou, et al. A planning method for distribution automation system considering distributed generation[J]. Smart Power, 2022, 50(10): 109–115
[24] 邓成江, 李海锋, 曾德辉, 等. 含逆变型分布式电源的不平衡配电网短路电流计算方法研究[J]. 智慧电力, 2021, 49(2): 39–46
DENG Chengjiang, LI Haifeng, ZENG Dehui, et al. Calculation method of short-circuit current in unbalanced distribution network with inverter-based distributed generation[J]. Smart Power, 2021, 49(2): 39–46
[25] 李子健, 郭佩乾, 马宁宁, 等. 融合双重策略粒子群算法的分布式电源配网无功优化[J]. 南方电网技术, 2022, 16(6): 14–22, 81
LI Zijian, GUO Peiqian, MA Ningning, et al. Reactive power optimization for distribution system with DG by particle swarm optimization algorithm integrating dual strategies[J]. Southern Power System Technology, 2022, 16(6): 14–22, 81
[26] 郭沛, 王利利, 李锰, 等. 基于灵敏度聚类的含DG配电网电压分区控制方法[J]. 电力科学与技术学报, 2022, 37(6): 100–107
GUO Pei, WANG Lili, LI Meng, et al. Voltage partition control method for distribution network with DG based on sensitivity clustering[J]. Journal of Electric Power Science and Technology, 2022, 37(6): 100–107
[27] 赵一男, 宋斌, 钱振宇, 等. 未来配电网的分布式形态及规划方法[J]. 中国电力, 2022, 55(4): 70–77
ZHAO Yinan, SONG Bin, QIAN Zhenyu, et al. Dispatching architecture and planning method of future distribution network[J]. Electric Power, 2022, 55(4): 70–77
[28] 王秀茹, 刘刚, 黄华峰, 等. 考虑分布式电源的配电网无功调度和储能优化方法[J]. 电力科学与技术学报, 2022, 37(4): 134–142, 208
WANG Xiuru, LIU Gang, HUANG Huafeng, et al. Reactive power dispatching and energy storage optimization for distribution network with distributed power resources[J]. Journal of Electric Power Science and Technology, 2022, 37(4): 134–142, 208