[1]刘燕,王婷婷,高 虹.智能电网环境下负荷响应对系统消纳风电能力影响模型探析[J].机械与电子,2020,(01):10-14.
 ,,et al.Research on the Model of the Impact of Load Response on Wind Power Absorption in Smart Grid Environment[J].Machinery & Electronics,2020,(01):10-14.
点击复制

智能电网环境下负荷响应对系统消纳风电能力影响模型探析()
分享到:

机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2020年01期
页码:
10-14
栏目:
设计与研究
出版日期:
2020-01-24

文章信息/Info

Title:
Research on the M odel of the I mpact of Load Response on Wind Power Absorption in Smart Grid Environment
文章编号:
1001- 2257(2020)01- 0010- 05
作者:
刘燕12 王婷婷1高 虹1
1.贵州理工学院,贵州 贵阳 550003;
2.华北电力大学,河北 保定 071003
Author(s):
LIUYanWANGTingtingGAOHong
1.GuizhouInstituteofTechnology ,Guiyang550003,China;
2.NorthChinaElectricPowerUniversity,Baoding071003,China
关键词:
智能电网消纳负荷响应电力系统风力发电多层调度
Keywords:
smartgridabsorptionloadresponsepowersystemwindpowergenerationmultilayerdispatch
分类号:
TM614;TM714
文献标志码:
A
摘要:
为了更多消纳智能电网环境中风力发电,依据需求与负载的交互响应,提出了一种多层时间尺度连续调度操作模型。分析了风力发电不确定性的产生机理,在此基础上建立了风电功率预测算法,再引入基于风电消纳的需求响应概率的多级调度概念,提高了电网调度模型对风力发电随机性、间歇性的整体适应性。通过案例验证该方法的可靠性和有效性,数据证实该方法能在保证智能电网调度经济可靠的条件下有效地提升风力发电的消纳水平。
Abstract:
In order to absorb more wind power generation in smart grid environment, a multi-layer time scale continuous dispatching operation model was proposed based on the interaction between demand and load. Firstly, the generation mechanism of uncertainty in wind power generation was analyzed. On this basis, a wind power prediction algorithm was established. Then the concept of multi-level dispatching based on demand response probability of wind power dissipation was introduced, which improves the overall adaptability of the grid dispatching model to the randomness and intermittentity of wind power generation. Finally, the reliability and validity of the method were verified by a case study. The data show that the method can effectively improve the wind power consumption level under the condition of guaranteeing the smart grid dispatching economy and reliability.

参考文献/References:

[1] ZHANG N,HU Z G,SHEN B,etal.Asource grid loadcoordinatedpowerplanningmodelconsideringtheintegrationofwindpowergeneration[J].AppliedEnergy,2016,168:13- 24.

[2] LIX,HUANG Y,MAS,etal.Analysisontheinfluencefactorsof wind poweraccommodation[J].JournalofPowerand Energy Engineering,2016,3
(4):162- 169.
[3] 邓清闯,费怀胜,李朝锋.风电场智能运维管控系统方案设计[J].机械与电子,2019,37(1):71- 74,80.
[4] 袁泉,吴云亮,李豹,等.计及源荷不确定性的多时间尺度滚动调度计划模型与方法[J].电力系统保护与控制,2019,47(16):8- 16.
[5] REKASS,RAMESHV.Ademandresponsemodelingfor residentialconsumersinsmartgridenvironmentusinggame theorybasedenergyschedulingalgorithm[J].AinShams EngineeringJournal,2016,7(2):835- 845.
[6] 崔杨,张汇泉,仲悟之,等.计及价格型需求响应及 CSP
电站参 与 的 风 电 消 纳 日 前 调 度 [J/OL].电 网 技 术,2019,43(10):1 7[2019 09 08].http:∥kns.cnki.net/kcms/detail/11.2410.TM.20190313.1709.005.html.
[7] 宋艺航,谭忠富,李欢欢,等.促进风电消纳的发电侧、储能及需求侧联合优化模型[J].电网技术,2014,38
(3):610- 615.
[8] 张晓辉,江静,李茂林,等.考虑柔性负荷响应的含风电场电力系 统 多 目 标 经 济 调 度[J].电 力 系 统 自 动 化,2017,41(11):61- 67.
[9] 符杨,陈铤,李振坤.计及风电和需求响应的电网动态经济调度[J].上海电力学院学报,2016,32(3):296- 300.
[10] 于娜,李伟蒙,黄大为,等.计及可转移负荷的含风电场日前调度模型[J].电力系统保护与控制,2018,46(17):61- 67.
[11] COELHO V N,COELHOIM,COELHOB N,et al.Aself adaptiveevolutionaryfuzzymodelforload forecastingproblemsonsmartgridenvironment[J].AppliedEnergy,2016,169:567- 584.
[12] 田世明,王蓓蓓,张晶.智能电网条件下的需求响应关键技术[J].中国电机工程学报,2014,34(22):3576- 3589.

相似文献/References:

[1]潘可佳,王 鑫,吴 岩,等.基于电网智能算法下大数据在电力行业中的应用[J].机械与电子,2018,(04):76.
 PAN Kejia,WANG Xin,WU Yan,et al.Application of Big Data in Electric Power Industry Based on Power Grid Intelligent Algorithm[J].Machinery & Electronics,2018,(01):76.
[2]张雪霏,贺兰菲,李智威,等.一种面向智能电网的分布式电压控制方法[J].机械与电子,2021,(11):57.
 ZHANG Xuefei,HE Lanfei,LI Zhiwei,et al.A Distributed Voltage Control Method for Smart Grid[J].Machinery & Electronics,2021,(01):57.
[3]方 勇,孔晨华,张建军.基于数字和智能化的变电站安全工器具管理模式研究[J].机械与电子,2022,(04):77.
 FANG Yong,KONG Chenhua,ZHANG Jianjun.Research on the Management Mode of Safety Apparatus of Substation Based on Digital and Intelligent[J].Machinery & Electronics,2022,(01):77.
[4]邢智辉.智能电网设备监控运行大数据平台总体设计[J].机械与电子,2023,41(04):41.
 XING Zhihui.Overall Design of Big Data Platform for Smart Grid Equipment Monitoring and Operation[J].Machinery & Electronics,2023,41(01):41.

备注/Memo

备注/Memo:
收稿日期:2019- 09- 09
基金项目:贵州省电力大数据重点实验室开放基金(2003008004)
作者简介:刘 燕 (1977-),女,江苏泰州人,副教授,博士研究生,主要研究领域为智能电网的互动及其控制;王婷婷 (1975-),女,贵州遵义人,副教授,主要从事智能电网控制的测试技术研究,通信作者;高 虹 (1966-),女,安徽当涂人,教授,主要从事配电网运行和控制研究。
更新日期/Last Update: 2020-01-13