Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

Article retrieval

文章检索

首页 >> 文章检索 >> 最新索引

基于改进NSGA-Ⅱ的考虑负载率指标的风电接入电网规划

来源:电工电气发布时间:2020-07-16 16:16 浏览次数:41
基于改进NSGA-Ⅱ的考虑负载率指标的风电接入电网规划
 
王轩1,蒋海峰2,韩伟1,李峰1,雷文宝1,李海涛1,王冰冰2
(1 国网江苏省电力有限公司淮安供电分公司, 江苏 淮安 223002;2 南京理工大学 自动化学院, 江苏 南京 210094)
 
    摘 要:为保证风电接入电网的经济性和安全性,提出了基于机会约束的多目标电网规划模型。经济性目标中包含了新建线路成本、网损和切负荷惩罚费用。安全性目标考虑了期望值潮流熵和某置信度下线路的负载率水平。针对传统NSGA-算法的不足,采用基于个体支配等级的自适应参数调整策略改进了NSGA-Ⅱ,增加了最优解集的多样性且改进了算法的收敛效果。以加入风电场的18节点系统为算例,结果表明,该模型获得的方案切负荷量较低,系统越限线路少,具有较高的可靠性和适应性。
    关键词:风电;负载率;期望值潮流熵;多目标电网规划;改进NSGA-Ⅱ算法
    中图分类号:TM715     文献标识码:A     文章编号:1007-3175(2020)07-0001-08
 
Multi-Objective Grid Planning Connected with Wind Farm Considering Load Rate Based on Improved NSGA-II Algorithm
 
WANG Xuan1, JIANG Hai-feng2, HAN Wei1, LI Feng1, LEI Wen-bao1, LI Hai-tao1, WANG Bing-bing2
(1 State Grid Huaian Power Supply Company, Huaian 223002, China;
2 School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China)
 
    Abstract: In order to ensure the economics and safety of wind power connected to the power grid, a multi-objective grid planning model based on chance constraints is proposed. The economic goals include the cost of newly constructed lines, network loss and load-shedding costs.The safety objective takes into account the expected power flow entropy and the load factor level of the line at a certain confidence level.In response to the shortcomings of the traditional NSGA-II algorithm, an adaptive parameter adjustment strategy based on individual dominance levels is used to improve NSGA-II, increase the diversity of optimal solution sets and improve the convergence effect of the algorithm. Taking an 18-bus system set on a wind farm as an example, the results show that the scheme obtained by this model has a lower loadshedding capacity, fewer lines beyond the system limit, and high reliability and adaptability.
    Key words: wind power; load rate; expected value power flow entropy; multi-objective power grid planning; improved NSGA-II algorithm
 
参考文献
[1] 田书欣,程浩忠,曾平良,等. 大型集群风电接入输电系统规划研究综述[J]. 中国电机工程学报,2014,34(10):1566-1574.
[2] 张衡, 程浩忠, 曾平良, 等. 基于随机优化理论的输电网规划研究综述[J]. 电网技术,2017,41(10):3121-3129.
[3] MOREIRA A, POZO D, STREET A, et al.Reliable Renewable Generation and Transmission Expansion Planning: Co-Optimizing System's Resources for Meeting Renewable Targets[J]. IEEE Transactions on Power Systems,2017,32(4):3246-3257.
[4] 彭超锋,袁铁江,魏喜慧. 基于机会约束规划的分散式风电场优化规划[ J ] . 可再生能源,2016,34(3):427-436.
[5] JIN L, SUN Yuanzhang, SORENSEN P, et al. Method for Assessing Grid Frequency Deviation Due to Wind Power Fluctuation Based on “Time-Frequency Transformation”[J].IEEE Transactions on Sustainable Energy,2012,3(1):65-73.
[6] 刘自发,于寒霄,王帅,等. 综合考虑运行效率和弃风损失的输电网规划[J]. 电网技术,2018,42(3):827-834.
[7] 刘学,李晖,周明,等. 考虑风速相关性的多目标电网规划[J]. 电力自动化设备,2015,35(10):87-94.
[8] 许沛东,方华亮,黄烁. 考虑风电消纳及潮流均衡度的分散式风电选址定容[J]. 电力建设,2018,39(1):99-105.
[9] 姜惠兰,安星,王亚微,等. 基于改进NSGA2算法的考虑风机接入电能质量的多目标电网规划[J].中国电机工程学报,2015,35(21):5405-5411.
[10] 时思思,张新燕,王志浩,等. 基于改进NSGA-Ⅱ算法的风光组合多馈入直流送端系统装机容量优化配置研究[J]. 可再生能源,2019,37(8):1198-1205.
[11] 张福民,崔海波,李占凯,等. 基于改进NSGA-Ⅱ算法的微网交互式多目标优化[J]. 电力系统保护与控制,2018,46(12):24-31.
[12] 李勇,刘俊勇,刘晓宇,等. 基于潮流熵的电网连锁故障传播元件的脆弱性评估[J]. 电力系统自动化,2012,36(19):11-16.
[13] 郑强. 带精英策略的非支配排序遗传算法的研究与应用[D]. 杭州:浙江大学,2006.
[14] MOEINI-AGHTAIE M, ABBASPOUR A, FOTUHIFIRUZABAD M.Incorporating Large-Scale Distant Wind Farms in Probabilistic Transmission Expansion Planning-PartⅠ: Theory and Algorithm[J].IEEE Transactions on Power Systems,2012,27(3):1585-1593.
[15] 王锡凡. 电力系统优化规划[M]. 北京:水利电力出版社,1990.

 

欢乐斗牛 喜盈盈彩票开户 广西快3开奖 九亿九彩票注册开户投注平台 福建快3开奖 旺彩彩票开户 必发彩票开户 立鼎彩票注册开户投注平台 安徽快3计划 河北快3基本走势