基于效益耦合和时序关联特性的配电网规划项目优选模型
CSTR:
作者:
通讯作者:

李文龙(1988—),男,高级工程师,主要从事配电网规划方面的研究;E-mail:jainwek56@163.com

中图分类号:

TM73

基金项目:

国家电网公司科技攻关项目(GW3830092021X)


Optimization model of distribution network planning project based on benefit coupling and time series correlation characteristics
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [15]
  • |
  • 相似文献
  • | | |
  • 文章评论
    摘要:

    针对有限投资预算下多个高渗透新能源的配电网项目的经济组合优选问题,考虑不同供电区域可靠性边际效益的差异和项目之间的复杂相关性,提出考虑效益耦合和时序关联特性的配电网规划项目优选模型。考虑不同供电区域可靠性边际效益的差异和项目之间的复杂相关性,提出考虑效益耦合和时序关联特性的配电网规划项目优选模型。首先,建立项目效益耦合方程,提取项目效益耦合特性;其次,根据时序关联规则定义,确定项目时序关联特性,定义配电网规划项目关系,并设计配电网规划项目优化约束。最后以项目最大投资效益为目标建立优选模型,对现有两种方法进行对比验证。结果表明:本文模型优选的配电网规划项目成本低、效益高,可为有限预算下配电网多区域项目优选提供依据。

    Abstract:

    Under the limited investment budget, the best project combination problem is investigated for multiple distribution network projects with a high penetration new energy to achieve the highest reliability and economy. Considering the difference of marginal benefit of reliability in different power supply areas and the complex correlation between projects, an optimization model is proposed for the distribution network planning project. Firstly, the characteristics of benefit coupling and time series correlation are taken into account to establish the project benefit coupling equation. On this basis, the project benefit coupling characteristics are extracted. Secondly, the association characteristics of project time series are determined according to the definition of time series association rules. The relationship between distribution network planning projects are defined, and the constraints of distribution network planning projects are designed. Then, the optimization model is established to maximize the project investment benefit. In the end, two existing methods are compared and verified. It is shown that the proposed model is low in cost and high in benefit. It also provides a basis for the optimization of distribution network multi-area projects under limited budget.

    参考文献
    [1] 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.
    [2] 刘雪飞,刘洋,马国真,等.考虑负荷差异化需求响应的配电网多目标扩展规划[J].电力系统保护与控制,2022,50(22):131-141.LIU Xuefei,LIU Yang,MA Guozhen,et al.Multi-objective extended planning for a distribution network considering demarcation ofdemand response schemes[J].Power System Protection and Control,2022,50(22):131-141.
    [3] 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.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.
    [4] 郝露茜,吴军,王智冬,等.电力系统源—网—荷—储协调水平综合评价方法研究[J].智慧电力,2021,49(3):12-18.HAO Luxi,WU Jun,WANG Zhidong,et al.Research on comprehensive evaluation method of source-grid-load-storage coordination level in power system[J].Smart Power,2021,49(3):12-18.
    [5] 易淑智,刘云凯,吴海星,等.计及全寿命周期成本和设备利用率的配电变压器规划优选[J].供用电,2021,38(4):52-56+63.YI Shuzhi,LIU Yunkai,WU Haixing,et al.Optimization planning of distribution transformer considering life cycle cost and equipment utilization[J].Distribution & Utilization,2021,38(4):52-56+63.
    [6] 南开辉,方向,翟晓萌,等.电网侧储能项目管理模式选择——基于IFS与TOPSIS灰色关联投影法的实证分析[J].科技管理研究,2020,40(12):205-210.NAN Kaihui,FANG Xiang,ZHAI Xiaomeng,et al.Management mode selection of energy storage project at grid side:an empirical analysis based on the grey correlation projection method of IFS and TOPSIS[J].Science and Technology Management Research,2020,40(12):205-210.
    [7] 路坦,李建泽,吴仲超,等.不确定性下柔性分布式多能源发电系统扩展规划[J].计算技术与自动化,2020,39(3):114-119.LU Tan,LI Jianze,WU Zhongchao,et al.Expansion planning of flexible distributed multi-energy power generation system under uncertainty[J].Computing Technology and Automation,2020,39(3):114-119.
    [8] 邢亚虹,杜欣慧.基于贪婪算法的配电网网格负荷预测与规划方法[J].计算机工程,2016,42(11):316-321.XING Yahong,DU Xinhui.Method of grid load forecasting and planning for distribution network based on greedy algorithm[J].Computer Engineering,2016,42(11):316-321.
    [9] 王海军,董颖华.基于多策略改进的遗传算法在配电网规划中的应用[J].电网与清洁能源,2021,37(11):47-54.WANG Haijun,DONG Yinghua.Application of genetic algorithm based on multi-strategy improvement in distribution network planning[J].Power System and Clean Energy,2021,37(11):47-54.
    [10] 李霄鹏.贪婪算法与遗传算法结合的建设项目合同优化选择[J].统计与决策,2019,35(6):76-79.LI Xiaopeng.Optimal selection of construction project contract based on greedy algorithm and genetic algorithm[J].Statistics and Decision,2019,35(6):76-79.
    [11] 沈美燕,胡哲晟,刘曌煜,等.考虑效益耦合和时序关联特性的配电网规划项目多阶段双Q优选[J].电力自动化设备,2020,40(6):22-28+48.SHEN Meiyan,HU Zhesheng,LIU Zhaoyu,et al.Optimal multi-stage dual-Q selection for distribution network planning projects considering benefit coupling and timing correlation characteristics[J].Electric Power Automation Equipment,2020,40(6):22-28+48.
    [12] 吴晓欣,何怡刚,段嘉珺,等.考虑复杂时序关联特性的Bi-LSTM变压器DGA故障诊断方法[J].电力自动化设备,2020,40(8):184-193.WU Xiaoxin,HE Yigang,DUAN Jiajun,et al.DGA fault diagnosis method of Bi-LSTM transformer considering complex timing correlation characteristics[J].Electric Power Automation Equipment,2020,40(8):184-193.
    [13] 马小铭,靳伍银.基于改进蚁群算法的多目标路径规划研究[J].计算技术与自动化,2020,39(4):100-105.MA Xiaoming,JIN Wuyin.Research on multi-objective path planning based on improved ant colony algorithm[J].Computing Technology and Automation,2020,39(4):100-105.
    [14] 李秉祥,乔建民,牛晓琴,等.管理防御视角下经理人长短期投资项目选择的博弈分析[J].管理评论,2019,31(1):197-205.LI Bingxiang,QIAO Jianmin,NIU Xiaoqin,et al.Game analysis of managers' long-termand short-term investment project selection from the perspective of managerial entrenchment[J].Management Review,2019,31(1):197-205.
    [15] 邵华,贺春光,安佳坤,等.基于线性约束的有源配电网规划研究[J].电力科学与技术学报,2020,35(5):66-74.SHAO Hua,HE Chunguang,AN Jiakun,et al.Research on active distribution network planning based on linear constraints[J].Journal of Electric Power Science and Technology,2020,35(5):66-74.
    相似文献
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

李文龙,张华东,于宝鑫.基于效益耦合和时序关联特性的配电网规划项目优选模型[J].电力科学与技术学报,2022,37(6):55-61.
LI Wenlong, ZHANG Huadong, YU Baoxin. Optimization model of distribution network planning project based on benefit coupling and time series correlation characteristics[J]. Journal of Electric Power Science and Technology,2022,37(6):55-61.

复制
分享
文章指标
  • 点击次数:195
  • 下载次数: 727
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 在线发布日期: 2023-01-16
文章二维码