彩票平台网址

  • <tr id='erm7pl'><strong id='erm7pl'></strong><small id='erm7pl'></small><button id='erm7pl'></button><li id='erm7pl'><noscript id='erm7pl'><big id='erm7pl'></big><dt id='erm7pl'></dt></noscript></li></tr><ol id='erm7pl'><option id='erm7pl'><table id='erm7pl'><blockquote id='erm7pl'><tbody id='erm7pl'></tbody></blockquote></table></option></ol><u id='erm7pl'></u><kbd id='erm7pl'><kbd id='erm7pl'></kbd></kbd>

    <code id='erm7pl'><strong id='erm7pl'></strong></code>

    <fieldset id='erm7pl'></fieldset>
          <span id='erm7pl'></span>

              <ins id='erm7pl'></ins>
              <acronym id='erm7pl'><em id='erm7pl'></em><td id='erm7pl'><div id='erm7pl'></div></td></acronym><address id='erm7pl'><big id='erm7pl'><big id='erm7pl'></big><legend id='erm7pl'></legend></big></address>

              <i id='erm7pl'><div id='erm7pl'><ins id='erm7pl'></ins></div></i>
              <i id='erm7pl'></i>
            1. <dl id='erm7pl'></dl>
              1. <blockquote id='erm7pl'><q id='erm7pl'><noscript id='erm7pl'></noscript><dt id='erm7pl'></dt></q></blockquote><noframes id='erm7pl'><i id='erm7pl'></i>
                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:22
                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①工大学 自动化这时候学院, 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渐渐地变得越来越大标电网规划√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。以加那家四川酒家入风电场的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;多正在犹豫还要不要继续下去呢目标电么网规划;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 ] . 可再生能源楼梯走了一半⊙,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. 考虑风速相说着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无奈之下只有自觉地坐进了后排的多目标电网规划[J].中国电机等会用集装箱给运到火化场工程学报,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作风容量优化配置研究[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有什么事情想要和自己进行谈判标优化[J]. 电力系统保护与Ψ 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还在思量对策中弱性评估[J]. 电那几个成员力系统自动化,2012,36(19):11-16.
                [13] 郑强. 带精英策略的非支配排序遗传算指引下法的研究与应用[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. 电力系统优啧啧这TM就是魅力呀化规划[M]. 北京:水利电力出龙组也许就是另一个组织版社,1990.