计及可靠性收益的配电网柔性多状态开关及分布式电源综合优化配置

doi:10.12204/j.issn.1000-7229.2022.06.010

电力建设 ›› 2022, Vol. 43 ›› Issue (6): 93-100.doi: 10.12204/j.issn.1000-7229.2022.06.010

计及可靠性收益的配电网柔性多状态开关及分布式电源综合优化配置

陈泽西¹^,²(), 王朴², 肖万芳², 贾东强³(), 耿欣扬⁴, 杨立²

1.华北电力大学新能源学院,北京市 102206
2.国网北京市电力公司城区供电公司,北京市 100034
3.国网北京市电力公司电力科学研究院,北京市 100075
4.英大泰和财产保险股份有限公司,北京市 100005

收稿日期:2021-08-08 出版日期:2022-06-01 发布日期:2022-05-31
通讯作者: 贾东强 E-mail:jdq2020@126.com
作者简介:陈泽西(1990),男,博士研究生,主要研究方向为可再生能源发电、智能电网技术、能源互联网技术等
王朴(1983),男,硕士,高级工程师,主要研究方向为电网设备运维与检修技术、电网继电保护及自动化、智能电网技术、配网运维及分布式电源技术
肖万芳(1977),男,硕士,高级工程师,主要研究方向为电力设备检修运维、电网运行控制及自动化技术、高可靠性供用电技术等
耿欣扬(1991),女,硕士,中级经济师,主要研究方向综合能源、系统经济运行、新能源发电系统成本分析、电力保险精算等
杨立(1992), 男,硕士,工程师,主要研究方向为电网柔性直流输电技术、配电网技术、电能质量控制等
基金资助:
国网北京市电力公司科技项目(520202200064)

Integrated Optimal Configuration of Flexible Multi-state Switch and Distributed Generation in Distribution Network Considering Reliability Gain

CHEN Zexi¹^,²(), WANG Pu², XIAO Wanfang², JIA Dongqiang³(), GENG Xinyang⁴, YANG Li²

1. School of New Energy, North China Electric Power University, Beijing 102206, China
2. State Grid Beijing Urban Power Supply Company, Beijing 100034, China
3. State Grid Beijing Electric Power Research Institute, Beijing 100075, China
4. Yingda Taihe Property Insurance Company Ltd.,Beijing 100005, China

Received:2021-08-08 Online:2022-06-01 Published:2022-05-31
Contact: JIA Dongqiang E-mail:jdq2020@126.com
Supported by:
State Grid Beijing Electric Power Co., Ltd. Research Program(520202200064)

摘要/Abstract

摘要：

柔性多状态开关(flexible multi-state switch,FMS)是支撑新型电力系统背景下配电网运行控制能力提升和可再生能源接入渗透率改善的重要技术装备,针对现有配电网中FMS的规划并未详细考虑FMS与分布式电源(distributed generation,DG)的协调配置,以及对于FMS接入带来的可靠性提升考虑不足的问题。文章在规划配置阶段详细考虑了含FMS和DG的协同优化运行,并充分计及FMS接入带来的可靠性收益,构建了基于嵌套优化的FMS和DG选址定容双层优化配置模型。针对双层嵌套规划模型求解的复杂性,提出了基于改进粒子群算法和GAMS(general algebraic modeling language)算法相结合的模型求解策略,以改造后的IEEE 33节点算例系统为例,对所提出模型和方法的有效性进行了验证,结果表明提出的方法相比传统单一FMS规划具有更好的经济性,能最大程度地降低配电网年综合费用,同时减少用户因停电带来的损失。

关键词: 柔性多状态开关(FMS), 配电网, 分布式电源(DG), 双层优化, 选址定容

Abstract:

Flexible multi-state switch (FMS) has an important advantage in improving the operation control ability of distribution network and improving renewable energy access. The existing FMS planning methods in distribution network do not consider the coordinated configuration of FMS and distributed generation (DG) in detail, and the reliability improvement brought by FMS access is not considered. To this end, this paper considers the cooperative optimal operation of distribution network with FMS and DG in detail, fully takes into account the reliability benefits brought by FMS access, and constructs a two-level optimal configuration model based on nested optimization for sizing and siting of FMS and DG. Aiming at the complexity of solving two-level nested programming model, a model solving strategy based on the combination of improved particle swarm optimization and general algebraic modeling language (GAMS) is proposed. The effectiveness of the proposed model and method is verified on an improved IEEE 33-node example system. The results show that the proposed method has better economy than the traditional FMS planning method because it can reduce the annual comprehensive cost of distribution network to the greatest extent, and reduce the loss of users due to power failure.

Key words: flexible multi-state switch(FMS), distribution network, distributed generation(DG), two-level optimization, sizing and siting

中图分类号:

TM73

陈泽西, 王朴, 肖万芳, 贾东强, 耿欣扬, 杨立. 计及可靠性收益的配电网柔性多状态开关及分布式电源综合优化配置[J]. 电力建设, 2022, 43(6): 93-100.

CHEN Zexi, WANG Pu, XIAO Wanfang, JIA Dongqiang, GENG Xinyang, YANG Li. Integrated Optimal Configuration of Flexible Multi-state Switch and Distributed Generation in Distribution Network Considering Reliability Gain[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(6): 93-100.

图/表 13

图1 多端口FMS结构

Fig.1 Multi-port FMS structure

图2 VSC运行边界

Fig.2 Operation boundary of VSC

图3 模型求解流程

Fig.3 Model solving process

图4 IEEE 33节点系统

Fig.4 IEEE 33-node system

表1 FMS和DRE待选位置

Table 1 Alternative locations for FMS and DRE

表2 负荷类别及停电损失

Table 2 Load category and blackout loss

表3 FMS和DG的经济性配置参数

Table 3 Economic parameters of FMS and DG

图5 WT、PV和3类负荷数据

Fig.5 WT, PV and three types of load data

图6 DG和负荷场景

Fig.6 DG and load scenarios

表4 各个场景发生概率

Table 4 Probability of occurrence of each scenario

表5 三种方案的配置结果

Table 5 Configuration results for three schemes

表6 Comparison of different planning schemes万元

Table 6

图7 不同方案下各类负荷的年失电量

Fig.7 Annual power loss of various loads under different schemes

参考文献 24

[1]	LARGOT S, DIABI R. Distributed generation influence on the voltage level and power losses[J]. International Journal of Electrical & Power Engineering, 2009, 3(4): 223-229.
[2]	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(S1): 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.
[3]	霍群海, 粟梦涵, 吴理心, 等. 柔性多状态开关新型复合控制策略[J]. 电力系统自动化, 2018, 42(7): 166-170.
	HUO Qunhai, SU Menghan, WU Lixin, et al. Compound control strategy for flexible multi-state switch[J]. Automation of Electric Power Systems, 2018, 42(7): 166-170.
[4]	张今, 江全元, 周自强, 等. 含柔性多状态开关的配电网分区方法[J]. 电力建设, 2019, 40(2): 71-78.
	ZHANG Jin, JIANG Quanyuan, ZHOU Ziqiang, et al. A partitioning method for distribution network with flexible multi-state switches[J]. Electric Power Construction, 2019, 40(2): 71-78.
[5]	LIU W X, HUANG Y C, YANG Y H, et al. Reliability evaluation and analysis of multi-terminal interconnect power distribution system with flexible multi-state switch[J]. IET Generation, Transmission & Distribution, 2020, 14(21): 4746-4754.
[6]	CAO W Y, WU J Z, JENKINS N, et al. Benefits analysis of Soft Open Ppoints for electrical distribution network operation[J]. Applied Energy, 2016, 165: 36-47.
[7]	QI Q, WU J Z, LONG C. Multi-objective operation optimization of an electrical distribution network with soft open point[J]. Applied Energy, 2017, 208: 734-744.
[8]	HUO Y D, LI P, JI H R, et al. Data-driven adaptive operation of soft open points in active distribution networks[J]. IEEE Transactions on Industrial Informatics, 2021, 17(12): 8230-8242.
[9]	HU R N, WANG W, WU X Z, et al. Interval optimization based coordinated control for distribution networks with energy storage integrated soft open points[J]. International Journal of Electrical Power & Energy Systems, 2022, 136: 107725.
[10]	LONG C, WU J Z, THOMAS L, et al. Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation[J]. Applied Energy, 2016, 184: 427-437.
[11]	QI Q, WU J Z. Increasing distributed generation penetration using network reconfiguration and soft open points[J]. Energy Procedia, 2017, 105: 2169-2174.
[12]	王志强, 方正, 徐艺铭, 等. 计及重要用户失负荷风险的多端智能软开关优化配置方法[J]. 高电压技术, 2020, 46(4): 1142-1153.
	WANG Zhiqiang, FANG Zheng, XU Yiming, et al. Optimization configuration method for multi-terminal soft open point considering the load loss risk of important users[J]. High Voltage Engineering, 2020, 46(4): 1142-1153.
[13]	WANG C S, SONG G Y, LI P, et al. Optimal siting and sizing of soft open points in active electrical distribution networks[J]. Applied Energy, 2017, 189: 301-309.
[14]	林湘宁, 李卓, 叶雨晴, 等. 基于并查集的柔性多状态开关定容方法[J]. 电力自动化设备, 2020, 40(6): 1-8.
	LIN Xiangning, LI Zhuo, YE Yuqing, et al. Sizing method of flexible multi-state switches based on union-find set[J]. Electric Power Automation Equipment, 2020, 40(6): 1-8.
[15]	张国荣, 罗柳, 彭勃, 等. 基于柔性多状态开关的有源配电网双层优化方法[J]. 电测与仪表, 2020, 57(24): 58-65.
	ZHANG Guorong, LUO Liu, PENG Bo, et al. Bi-level optimization method for active distribution network based on soft open point[J]. Electrical Measurement & Instrumentation, 2020, 57(24): 58-65.
[16]	王俊丰, 孔令生, 范心明, 等. 面向有源配电网运行经济性的智能储能软开关规划[J]. 电力建设, 2020, 41(10): 63-70.
	WANG Junfeng, KONG Lingsheng, FAN Xinming, et al. Optimal planning for soft open point integrated with ESS to improve the economy of active distribution network[J]. Electric Power Construction, 2020, 41(10): 63-70.
[17]	欧繁, 范心明, 彭元泉, 等. 主动配电网中多端柔性多状态开关的选址定容优化[J]. 电力电容器与无功补偿, 2021, 42(1): 142-149.
	OU Fan, FAN Xinming, PENG Yuanquan, et al. Optimal sizing and placement of multi-terminal flexible distribution switch in active distribution network[J]. Power Capacitor & Reactive Power Compensation, 2021, 42(1): 142-149.
[18]	XIAO H, PEI W, DENG W, et al. Enhancing risk control ability of distribution network for improved renewable energy integration through flexible DC interconnection[J]. Applied Energy, 2021, 284: 116387.
[19]	张国荣, 马晓芳, 彭勃, 等. 基于三端口柔性多状态开关的电压波动治理研究[J]. 电力系统保护与控制, 2019, 47(23): 57-64.
	ZHANG Guorong, MA Xiaofang, PENG Bo, et al. Distribution network voltage fluctuation control based on flexible multi-state switch[J]. Power System Protection and Control, 2019, 47(23): 57-64.
[20]	LIU Y C, FERRIS M C, ZHAO F. Computational study of security constrained economic dispatch with multi-stage rescheduling[J]. IEEE Transactions on Power Systems, 2015, 30(2): 920-929.
[21]	RAO R S, RAVINDRA K, SATISH K, et al. Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation[J]. IEEE Transactions on Power Systems, 2013, 28(1): 317-325.
[22]	EBRAHIMI N, SOOFI E S. Wiley StatsRef: Statistics reference online[M]. 2014.
[23]	白斌, 韩明亮, 林江, 等. 含风电和光伏的可再生能源场景削减方法[J]. 电力系统保护与控制, 2021, 49(15): 141-149.
	BAI Bin, HAN Mingliang, LIN Jiang, et al. Scenario reduction method of renewable energy including wind power and photovoltaic[J]. Power System Protection and Control, 2021, 49(15): 141-149.
[24]	MOHAMMADI S, SOLEYMANI S, MOZAFARI B. Scenario-based stochastic operation management of microgrid including wind, photovoltaic, micro-turbine, fuel cell and energy storage devices[J]. International Journal of Electrical Power & Energy Systems, 2014, 54: 525-535.

计及可靠性收益的配电网柔性多状态开关及分布式电源综合优化配置

Integrated Optimal Configuration of Flexible Multi-state Switch and Distributed Generation in Distribution Network Considering Reliability Gain

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 13

参考文献 24

相关文章 15

编辑推荐

Metrics

本文评价

[1]	宫建锋, 周宗川, 靳盘龙, 张斌, 韩一鸣, 冯雪. 考虑灵活性的交直流混合配电网储能双层规划[J]. 电力建设, 2022, 43(7): 48-56.
[2]	张桂红, 王琛, 张祥成, 王世斌, 白左霞, 张中锋. 一种适用于直流配电网中半桥-全桥混合型MMC的全电平逼近调制策略[J]. 电力建设, 2022, 43(6): 75-83.
[3]	徐加银, 汪涛, 王加庆, 刘琛, 马英浩. 考虑微电网灵活性资源属性的配电网规划方法[J]. 电力建设, 2022, 43(6): 84-92.
[4]	王萍萍, 许建中, 闫庆友, 林宏宇. 计及灵活性负荷资源需求响应和不确定性的楼宇微网调度双层优化模型[J]. 电力建设, 2022, 43(6): 128-140.
[5]	潘思宇, 刘宝柱. 面向配电网故障快速处理的边缘计算单元优化配置方法[J]. 电力建设, 2022, 43(3): 31-41.
[6]	白星振, 宋昭杉, 葛磊蛟, 张波, 朱爱莲, 牛峰. 含分布式电源的复杂配电网相间故障定位等效解耦模型[J]. 电力建设, 2022, 43(2): 45-53.
[7]	刘艳茹, 刘洪, 谷毅, 韩柳, 滑雪娇. 考虑多种终端配置的中低压配电网供电可靠性协同评估[J]. 电力建设, 2022, 43(2): 54-62.
[8]	董存, 陶以彬, 张牟发, 王士柏, 桑丙玉, 李志军, 张家安. 基于虚拟同步发电机的逆变器类电源频率特性及重塑技术[J]. 电力建设, 2022, 43(2): 109-116.
[9]	廖宗毅, 万文略, 陈曦, 陈岚. 基于服务商引导的综合能源系统源-荷协同优化方法[J]. 电力建设, 2022, 43(1): 38-48.
[10]	李英量, 蔡鹤鸣, 王康, 孙西瑶, 周丽雯, 高兆迪. 改善不平衡配电网电压质量的分布式储能序次优化配置方法[J]. 电力建设, 2022, 43(1): 87-95.
[11]	邓靖微, 李华强, 温丰瑞, 王俊翔, 谢康胜, 金智博. 计及虚拟电厂市场交易的主动配电网两阶段优化调度[J]. 电力建设, 2021, 42(9): 22-31.
[12]	谢康胜, 李华强, 王俊翔, 邓靖微. 考虑输配电网协同的源荷储资源统筹规划[J]. 电力建设, 2021, 42(9): 41-52.
[13]	赵允文, 李鹏, 孙煜皓, 沈鑫, 杨晓华. 基于相空间重构和随机配置网络的电力负荷短期预测[J]. 电力建设, 2021, 42(9): 120-128.
[14]	江卓翰, 刘志刚, 许加柱, 伍敏, 谢欣涛, 侯益灵. 计及风光储的冷热电联供系统双层协同优化配置方法[J]. 电力建设, 2021, 42(8): 71-80.
[15]	张林垚, 郑洁云, 胡志坚, 倪识远, 吴桂联, 翁菖宏, 陈志, 陈锦鹏. 基于混合用户均衡理论和充放电管理的快/慢充电站规划[J]. 电力建设, 2021, 42(8): 99-109.