利用需求侧资源降低配电网脆弱性的优化方法研究

董厚琦; 曾博; 吴晨; 周吟雨; 方伟; 曾鸣

doi:10.19912/j.0254-0096.tynxb.2020-0050

PDF(1669 KB)

太阳能学报 ›› 2022, Vol. 43 ›› Issue (2) : 120-126. DOI: 10.19912/j.0254-0096.tynxb.2020-0050

利用需求侧资源降低配电网脆弱性的优化方法研究

董厚琦, 曾博, 吴晨, 周吟雨, 方伟, 曾鸣

作者信息 +

OPTIMIZATION METHOD FOR MITIGATING VULNERABILITY OF DISTRIBUTION NETWORK BASED ON DEMAND-SIDE RESOURCES

Dong Houqi, Zeng Bo, Wu Chen, Zhou Yinyu, Fang Wei, Zeng Ming

Author information +

文章历史 +

摘要

基于需求侧用户资源能量转换和存储设备的可调特性,分析电网故障后需求侧资源对改善配电网的脆弱性的价值。为最大化挖掘需求侧分布式能源对电网负荷恢复的作用,构建考虑规划-运行的两阶段需求侧资源优化选择模型。该模型在充分考虑不同电网故障场景的基础上,以系统投资成本和失负荷运行成本之和最小化为目标,同时考虑用户用能、系统运行等约束,通过优化选择可调用的需求侧分布式能源,实现需求侧资源对改善电网脆弱性的评估。选择某配电网为案例,分析不同需求侧资源优化选择方案对改善提升配电网脆弱性的效果,验证所提方法对于支撑配电网快速恢复的有效性。

Abstract

Based on the adjustable characteristics of demand-side energy conversion and storage devices, the value of demand-side resources to improve the vulnerability of distribution network after power failure was analyzed. In order to maximize the effect of demand-side distributed energy on power grid load recovery, a two-stage optimization demand-side resource optimization selection model considering planning and operation was constructed. On the basis of considering different fault scenarios, the model aims to minimize the sum of system investment cost and off-load operation cost. At the same time, considering the constraints of user energy consumption and system operation, the demand-side resources can be used to evaluate the vulnerability of power grid by optimizing and selecting the callable demand-side distributed energy. A distribution network was selected as a case to analyze the effect of different demand-side resource optimization options on improving the vulnerability of the distribution network, and the effectiveness of the proposed method for supporting the rapid recovery of the distribution network was verified.

导出引用

董厚琦, 曾博, 吴晨, 周吟雨, 方伟, 曾鸣. 利用需求侧资源降低配电网脆弱性的优化方法研究[J]. 太阳能学报. 2022, 43(2): 120-126 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0050

Dong Houqi, Zeng Bo, Wu Chen, Zhou Yinyu, Fang Wei, Zeng Ming. OPTIMIZATION METHOD FOR MITIGATING VULNERABILITY OF DISTRIBUTION NETWORK BASED ON DEMAND-SIDE RESOURCES[J]. Acta Energiae Solaris Sinica. 2022, 43(2): 120-126 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0050

中图分类号： O325 TK79

参考文献

[1] 王子欣, 苗世洪, 郭舒毓, 等.考虑分布式电源出力随机特性的配电网节点脆弱性评估[J]. 电力自动化设备, 2021, 41(8): 33-40.
WANG Z X, MIAO S H, GUO S Y, et al.Node vulnerability evaluation of distribution network considering randomness characteristic of distributed generation output[J]. Electric power automation equipment, 2021, 41(8): 33-40.
[2] 陈彪, 赵志新, 陈晨, 等. 基于节点脆弱性评估的配电网光伏优化配置[J]. 浙江电力, 2021, 40(11): 101-110.
CHEN B, ZHAO Z X, CHEN C, et al.An optimal PV configuration method of distribution networks based on node vulnerability assessment[J]. Zhejiang electric power, 2021, 40(11): 101-110.
[3] 沈青文, 程若发, 付鑫. 一种计及脆弱性指标的分布式电源优化配置方法[J]. 电力建设, 2020, 41(3): 54-61.
SHEN Q W, CHENG R F, FU X.Optimization configuration method of distributed power Supply considering vulnerability index[J]. Electric power construction, 2020, 41(3): 54-61.
[4] 丁梁, 黄建杨, 徐恩, 等. 考虑复杂环境特性的电网线路脆弱性综合评估与结构优化分析[J]. 电力系统保护与控制, 2021, 49(13): 105-113.
DING L, HUANG J Y, XU E, et al.Comprehensive vulnerability assessment and structure optimization analysis of power grid lines considering complex environmental characteristics[J]. Power system protection and control, 2021, 49(13): 105-113.
[5] 王一帆. 考虑主动配电网脆弱性的储能配置[D]. 徐州: 中国矿业大学, 2019.
WANG Y F.Energy storage allocation considering vulnerability of active distribution network[D]. Xuzhou: China University of Mining and Technology, 2019.
[6] CHEN Y B, JIA J J, ZHAO Y C, et al.Vulnerability assessment of urban power grid based on combination evaluation[J]. Safety science, 2019, 113: 144-153.
[7] ROBERTO R, EDOARDO P.Assessment of power grid vulnerabilities accounting for stochastic loads and model imprecision[J]. Electrical power and energy systems, 2018, 98: 219-232.
[8] 陈超洋, 周勇, 池明, 等.基于复杂网络理论的大电网脆弱性研究综述[J/OL]. 控制与决策. [2021-12-16]. https://doi.org/10.13195/j.kzyjc.2021.0126.
CHEN C Y, ZHOU Y, CHI M, et al.Review of large power grid vulnerability based on complex network theory[J/OL]. Control and decision. [2021-12-16]. https://doi.org/10.13195/j.kzyjc.2021.0126.
[9] 张一嘉. 基于复杂网络理论的电力网络脆弱性和可控性研究[D]. 青岛: 中国石油大学(华东), 2018.
ZHANG Y J.Research on vulnerability and controllability of power grids based on complex network theory[D]. Qingdao: China University of Petroleum (East China), 2018.
[10] HU P, FAN W L.Mitigation strategy against cascading failures considering vulnerable transmission line in power grid[J]. Physica A, 2020, 540: 123230.
[11] BLAZHE G, GIOVANNI S.Identifying and assessing power system vulnerabilities to transmission asset outages via cascading failure analysis[J]. Reliability engineering and system safety, 2021, 217: 108085.
[12] SWYED M M, INNOCENT K, ABBAS R.Chung.stochastic optimal transmission switching: A novel approach to enhance power grid security margins through vulnerability mitigation under renewables uncertainties[J]. Applied energy, 2021, 305: 117851.
[13] 张弘历, 李华强, 王羽佳, 等. 考虑电网脆弱性的输电网扩展规划模型[J]. 电测与仪表, 2017, 54(23): 28-34.
ZHANG H L, LI H Q, WANG Y J, et al.Transmission network expansion planning model considering the grid vulnerability[J]. Electrical measurement & instrumentation, 2017, 54(23): 28-34.
[14] 孔维旭. 脆弱性评估视角下的有源配电网重构研究[D]. 西安: 西安石油大学, 2021.
KONG W X.Research on active distribution network reconfiguration from the perspective of vulnerability assessment[D]. Xi'an: Xi'an Shiyou University, 2021.
[15] SAEED M, MAHMOUD R H, MOHAMMAD H S.A linear two-stage method for resiliency analysis in distribution systems considering renewable energy and demand response resources[J]. Applied energy, 2018, 211: 443-460.
[16] SESHU K R, PHANI R L, KOTESWARA R D, et al.Impact of multiple demand side management programs on the optimal operation of grid-connected microgrids[J]. Applied energy, 2021, 301: 117466.
[17] 曾博, 白婧萌, 郭万祝, 等. 智能配电网需求响应效益综合评价[J]. 电网技术, 2017, 41(5): 1603-1612.
ZENG B,BAI J M,GUO W Z,et al.Comprehensive evaluation for benefits of demand response in smart distribution networks[J]. Power system technology, 2017, 41(5): 1603-1612.
[18] 靳小龙, 穆云飞, 贾宏杰, 等. 融合需求侧虚拟储能系统的冷热电联供楼宇微网优化调度方法[J]. 中国电机工程学报, 2017, 37(2): 581-591.
JIN X L, MU Y F, JIA H J, et al.Optimal scheduling method for a combined cooling, heating and power building microgrid considering virtual storage system at demand side[J]. Proceedings of the CSEE, 2017, 37(2): 581-591.
[19] 王成山, 洪博文, 郭力, 等. 冷热电联供微网优化调度通用建模方法[J]. 中国电机工程学报, 2013, 33(31): 26-33.
WANG C S, HONG B W, GUO L, et al.A general modeling method for optimal dispatch of combined cooling, heating and power microgrid[J]. Proceedings of the CSEE, 2013, 33(31): 26-33.
[20] ZENG B, ZHU X, CHEN C, et al.Unified probabilistic energy flow analysis for electricity-gas coupled systems with integrated demand response[J]. IET generation, transmission and distribution, 2019, 13(13): 2697-2710.