|本期目录/Table of Contents|

[1]颉玉娟,蒋力波,吴丽珍,等.计及电池寿命和经济环保的主动配电网容量优化[J].工业仪表与自动化装置,2018,(01):3-6.[doi:1000-0682（2018）01-0003-00]
　XIE Yujuan,JIANG Libo,WANG Xiaoting,et al.Capacity optimization for active distribution network considering battery life and economic-environmental protection[J].Industrial Instrumentation & Automation,2018,(01):3-6.[doi:1000-0682（2018）01-0003-00]
点击复制

计及电池寿命和经济环保的主动配电网容量优化

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2018年01期
页码:
3-6
栏目:
出版日期:
2018-02-15

文章信息/Info

Title:
Capacity optimization for active distribution network considering battery life and economic-environmental protection
作者:
颉玉娟1; 蒋力波2; 吴丽珍2; 王晓婷2; 刘腾飞2
1.甘肃省电力公司天水供电公司，甘肃 天水741000；2.兰州理工大学 电气工程与信息工程学院，兰州730050
Author(s):
XIE Yujuan1;  JIANG Libo2;  WANG Xiaoting2;  LIU Tengfei2;  WU Lizhen2
1. State Grid Gansu Electric Power Company Tianshui Electric Power Supply Company, Gansu Tianshui 737000, China；2. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
关键词:
主动配电网; 场景法; 储能; 优化; 改进的人工蜂群算法
Keywords:
active distribution network;  scenario method;  energy storage;  optimization;  improved artificial bee colony algorithm
分类号:
TM76
DOI:
1000-0682（2018）01-0003-00
文献标志码:
A
摘要:
针对间歇性分布式电源输出功率的不确定性和随机性对接入配电网带来的风险，提出场景方法合理配置储能装置，通过优化不仅能提高主动配电网对分布式电源的有效的利用还能实现经济安全的运行。以主动配电网经济运行成本最小和污染物排放最小为目标函数，并计及电池的寿命，建立主动配电网容量优化模型，并采用改进的人工蜂群算法对进行模型求解。以IEEE-33节点为例，验证所提模型的合理性和、可行性和有效性。
Abstract:
considering the risk of intermittent DG output uncertainty and randomness of access to the distribution network, puts forward the scene methods of rational allocation of energy storage devices, the optimization can not only improve the operation of active distribution network of distributed power supply can realize the effective use of economic security. With the minimum active distribution network economic operation cost and minimal pollutant emissions as the objective function, and the battery life, the establishment of active distribution network capacity optimization model, and using the improved artificial bee colony algorithm to solve the model. IEEE-33 node is taken as an example to verify the rationality, feasibility and validity of the proposed model.

参考文献/References:

[1] 赵波,王财胜,周金辉,等.主动配电网现状与未来发展[J].电力系统自动化, 2014, 38(18): 125-135.

[2] 王淳,高元海.基于概率统计的含间歇性分布式发电的配电网无功优化[J].电网技术, 2014, 38(4): 1032-1037.
[3] Chen S X, Gooi H b, Wang M Q. Sizing of energy storage for micro-grids[J].IEEE Transactions on Smart Grid, 2012, 3(1): 142-151.
[4] 黄伟,黄婷,周欢,等.基于改进微分进化算法的微电网动态经济优化调度[J].电力系统自动化,2014,5(10): 211-217.
[5] 尤毅,刘东,于文鹏,等.主动配电网储能系统的多目标优化配置[J].电力系统自动化,2014, 38(18): 46-52.
[6] 杨艳红,裴玮,邓卫,等.计及蓄电池储能寿命影响的微电网日前调度优化[J].电工技术学报,2015,30(22):172-180.
[7] Liu Xian. Economic load dispatch constrained by wind power availability:a wait-and-see approach[J].IEEE Transactions on Smart Grid, 2010,1(3): 347-355.
[8] Jenkins D P, Fletcher J, Kane D. Lifetime prediction and sizing of lead–acid batteries for microgeneration storage applications[J].IET Renewable Power Generation,2008, 2(3): 191-200.
[9] 江铭炎,袁东风.人工蜂群算法及其应用[M].北京:科学出版社, 2014.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期：2017-06-05
基金项目：国家自然科学基金项目(51467009)；兰州市科技计划项目（2016-3-67）。
作者简介：颉玉娟（1987），女，甘肃天水人，在职硕士研究生，助理工程师，从事电力调度、分布式发电及微电网的运行控制。
更新日期/Last Update: 2018-02-01