计及下垂曲线与储能的孤岛微电网分级调度策略
CSTR:
作者:
作者单位:

(1.四川大学电气工程学院,四川 成都 610065;2.国网湖南省电力有限公司,湖南 长沙 410004)

通讯作者:

刘继春(1975—),男,博士,教授,主要从事电力市场、综合能源系统等研究;E?mail:1150515270@qq.com

中图分类号:

TM73

基金项目:

国家自然科学基金(U2066209)


Hierarchical dispatching strategy of islanded microgrid considering droop curve and energy storage
Author:
Affiliation:

(1.College of Electrical Engineering,Sichuan University,Chengdu 610065, China;2.State Grid Hunan Electric Power Co.,Ltd., Changsha 410004, China)

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [23]
  • | | | |
  • 文章评论
    摘要:

    目前国内孤岛微电网运行调度中分布式发电(distributed generation,DG)电源被统一处理为传统发电机的PQ模型,与微电网实际情况不一致,同时较少有文献考虑电压潮流约束,为此,考虑下垂控制DG静态模型,计及潮流非线性约束,提出含可再生能源出力、储能充放电的孤岛微电网分级调度策略;同时,考虑DG下垂特性与潮流非线性约束,上级孤岛微电网经济、安全运行调度依靠集中优化控制器进行,控制下级DG各类静态参数及各储能装置充放电功率;下级依靠传统下垂控制在上级控制参数下实时调整有功、无功出力,维持系统频率、电压稳定。上述模型采用YALMIP+IPOPT程序进行求解,以14节点系统为例开展模拟仿真。仿真结果证明:所提模型及其求解方法可以有效求解孤岛微电网经济及安全运行调度模型,在稳定并提高系统电压水平、降低孤岛微电网运行费用方面具备显著优势。

    Abstract:

    At present, the operation dispatching of distributed generadion (DG) in islanded microgrids is treated uniformly as PQ model of traditional generators, which is inconsistent with the actual situation of microgrids. At the same time, few literatures consider voltage and power flow constraints. Therefore, considering the static model of droop control for DG and taking into account the nonlinear constraints of power flow, a hierarchical scheduling strategy for islanded microgrids with renewable energy output and energy storage charging and discharging is proposed. Meanwhile, considering the droop characteristics of DG and the nonlinear constraints of power flow, the economic and safe operation scheduling of the superior island microgrid adopts the centralized optimal controller to control various static parameters of the inferior DG and the charging and discharging power of each energy storage device. The inferior level uses traditional droop control to adjust active and reactive power output in real time under the control parameters of the superior level to maintain system frequency and voltage stability. The above model is solved by YALMIP+IPOPT program, and simulation is carried out with a 14-node system as an example. The simulation results prove that the proposed model and its solution method can effectively solve the economic and safe operation scheduling model of the islanded microgrid; it has significant advantages in stabilizing and improving the system voltage level and reducing the operating cost of the islanded microgrid.

    参考文献
    [1] 黎海涛,申保晨,杨艳红,等.基于改进竞争深度Q网络算法的微电网能量管理与优化策略[J].电力系统自动化,2022,46(7):42-49. LI Haitao,SHEN Baochen,YANG Yanhong,et al.Energy management and optimization strategy for microgrids based on improved competitive deep Q-network algorithm[J].Automation of Electric Power Systems,2022,46(7):42-49.
    [2] 徐明忻,石勇,邢敬舒,等.基于多典型场景采样的微网可靠性计算方法[J].电力科学与技术学报,2022,37(3):41-49. XU Mingxi,SHI Yong,XING Jingshu,et al.Reliability calculation method of microgrid based on multi typical scene samping[J].Jounarl of Electric Power Science and Technology,2022,37(3):41-49.
    [3] 齐志远,张如意,李晓文,等.热电联供微电网动态修正的分层优化调度[J].中国电机工程学报,2022,42(3):968-980. QI Zhiyuan,ZHANG Ruyi,LI Xiaowen,et al.Hierarchical optimal scheduling with dynamic correction of micro-grid combined heat and power[J].Proceedings of the CSEE,2022,42(3):968-980.
    [4] PINCIROLI L,BARALDI P,BALLABIO G,et al.Optimization of the operation and maintenance of renewable energy systems by deep reinforcement learning[J].Renew Energy,2021,183:752-763.
    [5] 赵彭杰,吴俊勇,王燚,等.基于深度强化学习的微电网优化运行策略[J].电力自动化设备,2022,42(11):9-16. ZHAO Pengjie,WU Junyong,WANG Yi,et al.Optimal operation strategy of microgrid based on deep reinforcement learning[J].Electric Power Equipment Automation,2022,42(11):9-16.
    [6] 杨晓辉,袁志鑫,肖锦扬,等.考虑电池寿命的混合储能微电网优化配置[J].电力系统保护与控制,2023,51(4):22-31. YANG Xiaohui,YUAN Zhixin,XIAO Jinyang,et al.Optimal configuration of hybrid energy storage microgrid considering battery life[J].Power System Protection and Control,2023,51(4):22-31.
    [7] 刘建伟,李学斌,刘晓鸥.有源配电网中分布式电源接入与储能配置[J].发电技术,2022,43(3):476-484. LIU Jianwei,LI Xuebin,LIU Xiaoou.Distributed power generation access and energy storage configuration in active distribution networks[J].Power Generation Technology,2022,43(3):476-484.
    [8] 李晓文,王旭,齐志远.氢电综合能源供应微电网的优化调度[J]. 供用电,2022,39(1):40-46. LI Xiaowen,WANG Xu,QI Zhiyuan.Optimal scheduling of micro-grid for comprehensive hydrogen-electricity supply[J]. Distribution & Utilization,2022,39(1):40-46.
    [9] 周林,吕智林,刘斌.基于无功电流自适应下垂系数控制的多微网调度与控制协调运行[J].智慧电力,2022,50(11):41-47. ZHOU Lin,Lü Zhilin,LIU Bin.Coordinated operation of multi-microgrid scheduling and control based on reactive current adaptive droop coefficient control[J].Smart Power,2022,50(11):41-47.
    [10] 王成山.微电网分析与仿真理论[M].北京:科学出版社,2013:119-122. WAGN Chengshan.Analysis and simulation of microgrids[M].Beijing:Science Press,2013:119-122.
    [11] 赵峰,张帆,陈小强,等.基于VMD-APSO的风电场混合储能系统容量优化配置[J].高压电器,2023,59(6):120-127. ZHAO Feng,ZHANG Fan,CHEN Xiaoqiang,et al.Optimal configuration of capacity of wind farm hybrid energy storage system based on VMD?APSO algorithm[J].High Voltage Apparatus,2023,59 (6):120-127.
    [12] ABDELAZIZ M M A,FARAG H E,El-SAADANY E F,et al.A novel and generalized three-phase power flow algorithm for islanded microgrids using a Newton trust region method[J].IEEE Transactions on Power System,2013,28(1):190-201.
    [13] 刘昊,贺翔,赵健,等.计及变流器热应力的高比例PV微网功率分配控制[J].电网与清洁能源,2022,38(10):69-78. LIU Hao,HE Xiang,ZHAO Jian,et al.Power allocation control for high proportional PV microgrid with consideration of converter thermal stress[J].Power System and Clean Energy,2022,38 (10):69-78.
    [14] NUTKANI I U,LOH P C,WANG P,et al.Cost-prioritized droop schemes for autonomous AC microgrids[J].IEEE Transactionson Power Electronics,2015,30(2):1109-1119.
    [15] 刘易珠.电动汽车与电网协调调度研究[D].长沙:湖南大学,2015. LIU Yizhu.Research on dispatch of coordination between electric vehicles and power grid[D].Changsha:Hunan University,2015.
    [16] 葛平娟,肖凡,涂春鸣.考虑故障限流的下垂控制型逆变器暂态控制策略[J].电工技术学报,2022,37(14):3676-3687. GE Pingjuan,XIAO Fan,TU Chunming.Transient control strategy of droop-controlled inverter considering fault current limitation[J].Transcations of China Electrotechnical Society,2022,37(14):3676-3687.
    [17] 易文飞,卜强生.计及下垂控制的潮流计算研究综述[J].电力工程技术,2022,41(3):72-82. YI Wenfei,PU Qiangsheng.Overview of research on power flow calculation with droop control[J].Electric Power Engineering Technology,2022,41(3):72-82.
    [18] FAN B,LI Q,WANG W,et al.A novel droop control strategy of reactive power sharing based on adaptive virtual impedance in microgrids[J].IEEE Transactions on Industrial Electronics,2022,69(11):11335-11347.
    [19] 曹昕,韩民晓,张明洋.基于虚拟电阻的P-V下垂系数计算方法[J].电力建设,2022,42(4):105-112. CAO Xin,HAN Minxiao,ZHANG Mingyang.A method for calculating P-V droop coefficients based on virtual resistance[J].Electric Power Construction,2022,42(4):105-112.
    [20] W?CHTER A,BIEGLER L T.On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming[J].Mathematical Programming,2006,106(1):25-57.
    [21] L?FBERG G.YALMIP:a toolbox for modeling and optimization in MATLAB[C]//IEEE International Symposium on Computer Aided Control Systems Design,Taipei,China,2004.
    [22] CURRIE J,WILSON D I.OPTI:lowering the barrier between open source optimizers and the industrial MATLAB user[C]//Foundations of Computer-Aided Process Operations,Savannah,Georgia,USA,2012.
    [23] 李可然.论文附录[EB/OL].https://pan.baidu.com/s/1bk54CtqzW_rNxcz63fC9Rw?pwd=kv6e(提取码:kv6e),2023-04-01. LI Keran.Appendix to the paper[EB/OL].https://pan.baidu.com/s/1bk54CtqzW_rNxcz63fC9Rw?pwd=kv6e(extraction code:kv6e),2023-04-01.
    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

李可然,刘继春,杨瑞琳,等.计及下垂曲线与储能的孤岛微电网分级调度策略[J].电力科学与技术学报,2024,39(2):223-230.
LI Keran, LIU Jichun, YANG Runlin, et al. Hierarchical dispatching strategy of islanded microgrid considering droop curve and energy storage[J]. Journal of Electric Power Science and Technology,2024,39(2):223-230.

复制
分享
文章指标
  • 点击次数:136
  • 下载次数: 789
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 在线发布日期: 2024-05-29
文章二维码