Optimization of Grid Dynamic Investment Strategy for Urban Distribution System Considering GIS Information

doi:10.12204/j.issn.1000-7229.2021.11.006

Abstract

Abstract:

Zoning planning can make the distribution network planning from large to small, from complex to simple. Independent grid planning can avoid the problem of too much calculation burden in centralized distribution network planning. Therefore, according to the results of grid division, this paper proposes a grid dynamic investment strategy for urban distribution network considering Geographic Information System (GIS). Firstly, this paper establishes a distribution network investment simulation platform based on Matlab-OpenDSS, where Matlab generates distribution network investment strategies, OpenDSS establishes a physical model of the computing grid, and calculates the corresponding investment indicators to correct the feasibility of the investment strategy. Secondly, we clarify the multi-objective and the number of cycles of the investment in the distribution network planning. Then, the NSGA-II algorithm is used to optimize the investment strategy for each cycle, which takes into account the multi-objective requirements of the power network planning scheme, and the investment in the next cycle depends on the optimal investment plan of the previous cycle for measurement, so as to make the dynamic investment more in line with the actual investment and construction process of the distribution network. In the proposed method, a number of planning evaluation indicators are added to the objective function, which can improve the economy and feasibility of the investment strategy; at the same time, dynamic programming is used to divide the total investment cycle into several short-term processes, which is more in line with the needs of investment planning. Finally, a real city distribution network is used as the test system to verify the feasibility of the proposed method.

Key words: urban distribution network, grid planning, geographic information system(GIS), dynamic investment, NSGA-II

CLC Number:

TM715

MA Jie, LI Qiuyan, WANG Lili, YU Haozheng, GUO Xinzhi, TANG Zao, LI Zhengbo, SU Tong, LIU Youbo. Optimization of Grid Dynamic Investment Strategy for Urban Distribution System Considering GIS Information[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(11): 54-62.

Figures/Tables 18

Fig.1 Multi-stage dynamic programming

Fig.2 Flow chart of dynamic investment strategy

Fig.3 Chromosome coding

Fig.4 Chromosomal mutation

Fig.5 Chromosomal crossing

Fig.6 Grid division result of a distribution network

Fig.7 Distribution map of substations, loads and corridors in the distribution grid 2

Fig.8 5-year load growth graph of the distribution grid

Table 1 Pareto optimal front of investment strategies

Fig.9 First-year investment in the planning strategy

Fig.10 Third-year investment in the planning strategy

Fig.11 Fifth-year investment in the planning strategy

Fig.12 The planning strategy of the distribution grid after adding interconnection switch

Fig.13 The final planning strategy after adding PV

Table 2 Evaluation results of investment index under the optimal investment strategy for each year

Fig.14 Schematic diagram of power flow

Table 3 Number of each cable lines

Table 4 Comparison of the proposed method and traditional investment method

References 26

[1]	王敬宇, 王主丁, 张永斌, 等. 基于三层宏观组网约束的中压配网精准规划[C]// 2018第三届电气工程,机械工程与自动化国际会议. 2018.
	WANG Jingyu, WANG Zhuding, ZHANG Yongbin, et al. Three layer macro network constraint based precision planning of middle voltage distribution networks[C]// Proceedings of 2018 3rd International Conference on Electrical Engineering, Mechanical Engineering and Automation (ICEEMEA 2018), 2018.
[2]	张铭昕, 刘洪志. 配电网规划的网格化方法应用[J]. 科学与信息化, 2017(6): 76-78.
[3]	葛少云, 蔡期塬, 刘洪, 等. 考虑负荷特性互补及供电单元划分的中压配电网实用化自动布线[J]. 中国电机工程学报, 2020, 40(3): 790-803.
	GE Shaoyun, CAI Qiyuan, LIU Hong, et al. Practical automatic planning for MV distribution network considering complementation of load characteristic and power supply unit partitioning[J]. Proceedings of the CSEE, 2020, 40(3): 790-803.
[4]	明煦, 王主丁, 王敬宇, 等. 基于供电网格优化划分的中压配电网规划[J]. 电力系统自动化, 2018, 42(22): 159-164,186.
	MING Xu, WANG Zhuding, WANG Jingyu, et al. Medium-voltage distribution network planning based on mesh optimization generation[J]. Automation of Electric Power Systems, 2018, 42(22): 159-164,186.
[5]	刘瑞生. 中低压配电网网格化规划探讨[J]. 电工文摘, 2015(1): 40-43.
[6]	刘伟生, 刘洪, 刘志清, 等. 配电网模块化规划体系与方法[J]. 电力系统及其自动化学报, 2019, 31(11): 139-144.
	LIU Weisheng, LIU Hong, LIU Zhiqing, et al. Framework and methods of modular planning for distribution network[J]. Proceedings of the CSU-EPSA, 2019, 31(11): 139-144.
[7]	卫泽晨, 赵凤展, 王佳慧, 等. 网格化中低压智能配电网评价指标体系与方法[J]. 电网技术, 2016, 40(1): 249-255.
	WEI Zechen, ZHAO Fengzhan, WANG Jiahui, et al. Gridding evaluation index system and method of MV and LV intelligent distribution network[J]. Power System Technology, 2016, 40(1): 249-255.
[8]	姚刚, 仲立军, 张代红. 复杂城市配电网网格化供电组网方式优化研究及实践[J]. 电网技术, 2014, 38(5): 1297-1301.
	YAO Gang, ZHONG Lijun, ZHANG Daihong. Research and practice of mesh-networking optimization for power supply by complex urban distribution network[J]. Power System Technology, 2014, 38(5): 1297-1301.
[9]	李海涛, 孙波, 王轩. 配电网网格化规划方法及其应用[J]. 电力系统及其自动化学报, 2015, 27(S1): 33-37.
	LI Haitao, SUN Bo, WANG Xuan. Power grid planning method and its application[J]. Proceedings of the CSU-EPSA, 2015, 27(S1): 33-37.
[10]	柴雁欣, 向月, 刘俊勇. 面向可靠性提升的关联规则驱动下配电网投资规划优选模型与方法[J]. 电力自动化设备, 2020, 40(3): 85-92.
	CHAI Yanxin, XIANG Yue, LIU Junyong. Optimization model and method of distribution network investment planning driven by correlation rules for reliability improvement[J]. Electric Power Automation Equipment, 2020, 40(3): 85-92.
[11]	王茜, 张粒子. 采用NSGA-Ⅱ混合智能算法的风电场多目标电网规划[J]. 中国电机工程学报, 2011, 31(19): 17-24.
	WANG Qian, ZHANG Lizi. Multi-objective transmission planning associated with wind farms applying NSGA-Ⅱ hybrid intelligent algorithm[J]. Proceedings of the CSEE, 2011, 31(19): 17-24.
[12]	方学智, 李傲伟, 龙琴, 等. 适应配电网网格化规划的可靠性预测方法[J]. 电测与仪表, 2020, 57(3): 72-78,93.
	FANG Xuezhi, LI Aowei, LONG Qin, et al. Reliability prediction method adapted to grid planning in distribution network[J]. Electrical Measurement & Instrumentation, 2020, 57(3): 72-78,93.
[13]	陈非凡, 高亚静, 梁海峰, 等. 基于地理分区的综合能源园区用能特性评价模型及供能分区方法[J]. 电力建设, 2019, 40(6): 23-32.
	CHEN Feifan, GAO Yajing, LIANG Haifeng, et al. Energy consumption characteristic evaluation model and energy supply partition method of integrated energy park based on geographical partition[J]. Electric Power Construction, 2019, 40(6): 23-32.
[14]	肖白, 郭蓓, 姜卓, 等. 基于负荷点聚类分区的配电网网架规划方法[J]. 电力建设, 2018, 39(11): 85-95.
	XIAO Bai, GUO Bei, JIANG Zhuo, et al. Distribution network planning method based on clustering blocks of load nodes[J]. Electric Power Construction, 2018, 39(11): 85-95.
[15]	徐成司, 董树锋, 朱嘉麒, 等. 基于供电环路非连通条件的配电网辐射状约束描述方法[J]. 电力系统自动化, 2019, 43(20): 82-89.
	XU Chengsi, DONG Shufeng, ZHU Jiaqi, et al. Description method of radial constraints for distribution network based on disconnection condition of power supply loop[J]. Automation of Electric Power Systems, 2019, 43(20): 82-89.
[16]	王颖, 许寅, 和敬涵, 等. 基于断线解环思想的配电网辐射状拓扑约束建模方法[J]. 中国电机工程学报, 41(7): 2395-2403.
	WANG Ying, XU Yin, HE Jinghan, et al. Radiality constraint modelling method in distribution network based on cutting-line and opening-loop idea[J]. Proceedings of the CSEE, 41(7): 2395-2403.
[17]	顾丹珍, 戴海锋, 曾健. 基于增量最短路径法的全电缆中压配电网络规划[J]. 电力自动化设备, 2019, 39(5): 30-36,44.
	GU Danzhen, DAI Haifeng, ZENG Jian. Full-cable medium voltage distribution network planning based on incremental shortest path method[J]. Electric Power Automation Equipment, 2019, 39(5): 30-36,44.
[18]	徐芮, 刘俊勇, 刘友波, 等. 考虑负荷聚类分区与分布式发电接入的配电网主次网架规划方法[J]. 电力自动化设备, 2016, 36(6): 48-55,63.
	XU Rui, LIU Junyong, LIU Youbo, et al. Primary and subordinate distribution network planning considering load clustering partition and DG integration[J]. Electric Power Automation Equipment, 2016, 36(6): 48-55,63.
[19]	孔涛, 程浩忠, 李钢, 等. 配电网规划研究综述[J]. 电网技术, 2009, 33(19): 92-99.
	KONG Tao, CHENG Haozhong, LI Gang, et al. Review of power distribution network planning[J]. Power System Technology, 2009, 33(19): 92-99.
[20]	张漫, 王主丁, 李强, 等. 中压目标网架规划中供电分区优化模型和方法[J]. 电力系统自动化, 2019, 43(16): 125-131.
	ZHANG Man, WANG Zhuding, LI Qiang, et al. Optimization model and method of power supply area division for planning of medium-voltage target network[J]. Automation of Electric Power Systems, 2019, 43(16): 125-131.
[21]	苏童, 刘友波, 沈晓东, 等. 深度学习驱动的电力系统暂态稳定预防控制进化算法[J]. 中国电机工程学报, 2020, 40(12): 3813-3824.
	SU Tong, LIU Youbo, SHEN Xiaodong, et al. Deep learning-driven evolutionary algorithm for preventive control of power system transient stability[J]. Proceedings of the CSEE, 2020, 40(12): 3813-3824.
[22]	张李盈, 范明天. 配电网综合规划模型与算法的研究[J]. 中国电机工程学报, 2004, 24(6): 59-64.
	ZHANG Liying, FAN Mingtian. A new model and methodology for distribution network integration planning[J]. Proceedings of the CSEE, 2004, 24(6): 59-64.
[23]	王杨, 向月, 刘俊勇. 聚类网架拓扑与源荷关联场景生成下配电网分布式电源规划方法[J]. 电力自动化设备, 2020, 40(12): 49-60,65.
	WANG Yang, XIANG Yue, LIU Junyong. Distributed generator planning method in distribution network based on clustering network topology and source-load correlation scenarios[J]. Electric Power Automation Equipment, 2020, 40(12): 49-60,65.
[24]	刘金朋, 刘福炎, 吕睿博, 等. 考虑网格信息熵的配电网资产运维投入优化方法研究[J]. 智慧电力, 2020, 48(12): 65-70.
	LIU Jinpeng, LIU Fuyan, LYU Ruibo, et al. Research on optimization method of distribution network asset operation and maintenance investment considering grid information entropy[J]. Smart Power, 2020, 48(12): 65-70.
[25]	曾鸣, 彭丽霖, 樊倩男, 等. 基于COA-EO混合算法的含DG的配电网Pareto最优规划[J]. 电力建设, 2015, 36(11): 1-9.
	ZENG Ming, PENG Lilin, FAN Qiannan, et al. Pareto optimal planning model of distribution network with DG based on COA-EO hybrid algorithm[J]. Electric Power Construction, 2015, 36(11): 1-9.
[26]	孙建龙, 吴锁平, 陈燕超. 基于改进NSGA2算法的配电网分布式电源优化配置[J]. 电力建设, 2014, 35(2): 86-90.
	SUN Jianlong, WU Suoping, CHEN Yanchao. Optimal configuration of distributed generation in distribution network based on improved NSGA2[J]. Electric Power Construction, 2014, 35(2): 86-90.