高级检索

计及光伏消纳率的分布式光伏电源双层多场景规划

孙旻, 张大, 曾伟, 彭春华

孙旻, 张大, 曾伟, 等. 计及光伏消纳率的分布式光伏电源双层多场景规划[J]. 现代电力, 2019, 36(2): 17-24.
引用本文: 孙旻, 张大, 曾伟, 等. 计及光伏消纳率的分布式光伏电源双层多场景规划[J]. 现代电力, 2019, 36(2): 17-24.
shu
SUN Min, ZHANG Da, ZENG Wei, et al. Bi-layer Multi-scenario Planning of Distributed Photovoltaic Generations Considering Photovoltaic Accommodation Rate[J]. Modern Electric Power, 2019, 36(2): 17-24.
Citation: SUN Min, ZHANG Da, ZENG Wei, et al. Bi-layer Multi-scenario Planning of Distributed Photovoltaic Generations Considering Photovoltaic Accommodation Rate[J]. Modern Electric Power, 2019, 36(2): 17-24.
shu

计及光伏消纳率的分布式光伏电源双层多场景规划

  • 1.

    国网江西省电力有限公司电力科学研究院,江西南昌 330096;

  • 2.

    华东交通大学电气与自动化工程学院,江西南昌 330013

基金项目: 国家电网有限公司科技项目(52182017000W)
详细信息
    作者简介:

    孙 旻(1970-),男,教授级高级工程师,研究方向为电能质量、新能源技术等,E-mail:zysyw@163.com;张 大(1993-),男,硕士研究生,研究方向为配电网运行与规划,E-mail: 1612083722@qq.com;曾 伟(1979-),男,博士,高级工程师,研究方向为新能源技术等;彭春华(1973-),男,教授,博士生导师,通信作者,研究方向为电力系统优化调度、配电网运行与规划、微电网运行,E-mail: chinapch@163.com。

  • 中图分类号: TM727.2

Bi-layer Multi-scenario Planning of Distributed Photovoltaic Generations Considering Photovoltaic Accommodation Rate

  • 1.

    State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China;

  • 2.

    School of Electrical & Automation Engineering, East China Jiaotong University, Nanchang 330013, China

摘要

    摘要
  • 摘要: 针对当前配电网中由于分布式光伏电源规划不合理而导致较为严重的弃光问题,研究构建了新型计及光伏消纳率的分布式光伏电源双层多场景规划模型。其中外层规划模型以光伏投资者年净收益最大为目标优化光伏电源的安装容量,内层规划模型则以光伏年消纳率最大为目标对光伏电源的出力削减量进行优化。然后,基于多场景分析和改进K均值聚类方法进行场景缩减,并利用分子微分进化算法求解上述双层规划模型。最后以IEEE 33节点配电网系统为例进行计及光伏消纳率的分布式光伏电源规划,结果验证了所提规划模型及求解方法的优越性。
    Abstract: In view of the serious power curtailment problem due to the unreasonable distributed photovoltaic (PV) generations planning in the distribution network, a new bi-layer multi-scenario planning model of distributed photovoltaic generations considering its accommodation rate is built. The outer model optimizes the installed capacity of PV generations with the goal of maximizing the annual net income of photovoltaic investors, and the inner model optimizes the power curtailment of PV generation to maximize the annual PV accommodation rate. The scenarios are generated by the improved K-means clustering method. The multi-scenario based bi-layer planning model is solved by the molecular differential evolution algorithm. Finally, the simulation results of the IEEE 33-bus distribution system verified the superiority of the proposed planning model and the solution method.
    • HTML全文
    • 参考文献(16)
  • 苏剑,周莉梅,李蕊. 分布式光伏发电并网的成本/效益分析[J]. 中国电机工程学报,2013,33(34): 5056.
    SU Jian,ZHOU Limei,LI Rui. Cost-benefit analysis of distributed grid-connected photovoltaic power generation [J]. Proceedings of the CSEE,2013,33(34): 5056.
    严艺芬,吴文宣,张逸,等. 考虑区域能源供应商利益的主动配电网间歇性分布式电源优化配置[J]. 电网技术,2017,41(3): 752758.
    YAN Yifen,WU Wenxuan,ZHANG Yi,et al. Optimal allocation of intermittent distributed generation in active distribution network considering benefit of regional energy supplier[J]. Power System Technology,2017,41(3): 752758.
    章力,高元海,熊宁,等. 考虑潮流倒送约束的分布式光伏电站选址定容规划[J]. 电力系统自动化,2014,38(17): 4348.
    ZHANG Li,GAO Yuanhai,XIONG Ning,et al. Siting and sizing of distributed photovoltaic power station considering reverse power flow constraints[J]. Automation of Electric Power System,2014,38(17): 4348.
    赵波,张雪松,洪博文. 大量分布式光伏电源接入智能配电网后的能量渗透率研究[J]. 电力自动化设备,2012,32(8): 95100.
    ZHAO Bo,ZHANG Xuesong,HONG Bowen. Energy penetration of large-scale distributed photovoltaic sources integrated into smart distribution network[J]. Electric Power Automation Equipment,2012,32(8): 95100.
    ZHANG Shenxi,CHENG Haozhong,ZHANG Libo,et al. Probabilistic evaluation of available load supply capability for distribution system[J]. IEEE Transactions on Power Systems,2013,28(3): 32153225.
    白晓清,赵瞻,鲍海波. 基于CLARA 算法的考虑时序特性分布式电源规划[J]. 电力自动化设备,2016,36(5): 1422.
    BAI Xiaoqing,ZHAO Zhan,BAO Haibo. DG planning based on CLARA algorithm with consideration of timing characteristics [J]. Electric Power Automation Equipment,2016,36(5): 1422.
    苏海锋,胡梦锦,梁志瑞. 基于时序特性含储能装置的分布式电源规划[J]. 电力自动化设备,2016,36(6): 5663.
    SU Haifeng,HU Mengjin,LIANG Zhirui. Distributed generation & energy storage planning based on timing characteristics[J]. Electric Power Automation Equipment,2016,36(6): 5663.
    江岳文,钱佳琦. 考虑扩容效益和时序特性的分布式电源规划研究[J]. 太阳能学报,2017,38(8): 22192227.
    JIANG Yuewen,QIAN Jiaqi. Research on distributed generator planning considering expansion benefit and time series correlation[J]. Acta Energiae Solaris Sinica,2017,38(8):22192227.
    ABAPOUR S,ZARE K,MOHAMMADI-IVATLOO B. Dynamic planning of distributed generation units in active distribution network[J]. IET Generation,Transmission & Distribution,2015,9(12): 14551463.
    张沈习,李珂,程浩忠,等. 间歇性分布式电源在主动配电网中的优化配置[J]. 电力自动化设备,2015,35(11): 4551.
    ZHANG Shenxi,LI Ke,CHENG Haozhong,et al. Optimal allocation of intermittent distributed generator in active distribution network[J]. Electric Power Automation Equipment,2015,35(11): 4551.
    温俊强,曾博,张建华. 市场环境下考虑各利益主体博弈的分布式电源双层规划方法[J]. 电力系统自动化,2015,39(15): 6167.
    WEN Junqiang,ZENG Bo,ZHANG Jianhua. Bi-level programming method for distributed generator considering stakeholders' game relationship in an elec-
    tricity market environment[J]. Automation of Electric Power System,2015,39(15): 6167.
    李武,赵娇燕,严太山. 基于平均差异度优选初始聚类中心的改进K均值聚类算法[J]. 控制与决策,2017,32(4): 759762.
    LI Wu,ZHAO Jiaoyan,YAN Taishan. Improved K-means clustering algorithm optimizing initial clustering centers based on average difference degree[J]. Control and Decision,2017,32(4): 759762.
    张翔,程浩忠,方陈,等. 考虑主动管理模式的多目标分布式电源规划[J]. 上海交通大学学报,2014,48(9): 12311238.
    ZHANG Xiang,CHENG Haozhong,FANG Chen,et al. Multi-objective distributed generator planning considering active management[J]. Journal of Shanghai jiaotong University,2014,48(9): 12311238.
    彭春华,姜磊,刘君,等.采用极限学习机预测优化的超高压输电线畸变电场屏蔽[J]. 电网技术,2017,41(11): 36553661.
    PENG Chunhua,JIANG Lei,LIU Jun,et al. Distorted electric field shielding of EHV transmission line based on extreme learning machine prediction optimization model [J]. Power System Technology,2017,41(11): 36553661.
    BARAN M E,WU F E. Network reconfiguration in distribution systems for loss reduction and load balancing[J]. IEEE Transactions on Power Delivery,1989,4 (2): 14011407.
    IEEE Committee Report. IEEE reliability test system[J]. IEEE Trans.on Power Apparatus and Systems,1979,98(6): 20472054.
    • 相关文章
    • 施引文献(26)

  • 期刊类型引用(11)

    1. 肖峻，王传奇. 配电网分布式发电渗透率极限值定义与计算方法. 电网技术. 2024(01): 352-369 . 百度学术
    2. 许中阳，宋晓通. 含高比例清洁能源的微电网多目标优化调度策略. 分布式能源. 2023(02): 19-25 . 百度学术
    3. 梅鹏，林志贤，李腾飞. 基于云模型的含分布式光伏配电网双层优化调度方法. 无线电工程. 2023(09): 2158-2164 . 百度学术
    4. 王超，黎启明，司晓峰，窦常永. 基于反向传播神经网络的光伏电站运营策略研究. 微型电脑应用. 2023(10): 184-187 . 百度学术
    5. 赵禹灿，姜旭，孙福寿，葛路明，孙铭徽，于淼. 基于谐波特性的光伏孤岛与低电压穿越同步检测方法. 电力系统保护与控制. 2022(03): 41-50 . 百度学术
    6. 王莹，肖峻，曹严. 柔性配电网间歇性分布式发电消纳能力分析. 电力系统自动化. 2022(13): 74-83 . 百度学术
    7. 李辉，刘峻玮，梁紫怡，袁海山，叶昀，陈有强，丁泽琦. 智能温室光储互补供能管理系统设计及应用. 电力需求侧管理. 2022(06): 32-37 . 百度学术
    8. 刘海涛，许伦，郝思鹏，张潮，孙晓. 基于离散概率分布的分布式光伏电站优化配置. 电气传动. 2021(07): 75-80 . 百度学术
    9. 孙建梅，胡嘉栋，蔚芳. 考虑利益主体合作的分布式电源运营商电源优化配置. 电力建设. 2021(06): 127-134 . 百度学术
    10. 张赟宁，童凡，石泽. 计及电压分区协调控制策略的分布式光伏接入配电网规划. 三峡大学学报(自然科学版). 2021(04): 72-78 . 百度学术
    11. 王晟嫣，周鹏程，陈威成. 光伏扶贫地区就地消纳能力评估研究. 山东电力技术. 2020(04): 1-4+14 . 百度学术

    其他类型引用(15)

    • 资源附件(0)
计量
  • 文章访问数:  315
  • HTML全文浏览量:  44
  • PDF下载量:  32
  • 被引次数: 26
出版历程
  • 收稿日期:  2018-04-11
  • 发布日期:  2019-04-08

目录

摘要
HTML全文
    参考文献(16)
    相关文章
    施引文献
    资源附件(0)

    /

    返回文章
    返回

    《现代电力》编辑部京ICP备12043220号-13

    通讯地址：北京昌平北农路2号华北电力大学D座D0539 邮编：102206 电话: 010-61772300 Email: xddl@vip.163.com

    本系统由北京仁和汇智信息技术有限公司开发  百度统计