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考虑内部响应意愿的虚拟电厂日内互动机制

方燕琼, 艾芊

方燕琼, 艾芊. 考虑内部响应意愿的虚拟电厂日内互动机制[J]. 现代电力, 2019, 36(3): 88-94.
引用本文: 方燕琼, 艾芊. 考虑内部响应意愿的虚拟电厂日内互动机制[J]. 现代电力, 2019, 36(3): 88-94.
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FANG Yanqiong, AI Qian. Intraday Interaction Mechanism of Virtual Power Plant Considering Members’ Response Willingness[J]. Modern Electric Power, 2019, 36(3): 88-94.
Citation: FANG Yanqiong, AI Qian. Intraday Interaction Mechanism of Virtual Power Plant Considering Members’ Response Willingness[J]. Modern Electric Power, 2019, 36(3): 88-94.
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考虑内部响应意愿的虚拟电厂日内互动机制

  • 1.

    广东电网有限责任公司电力科学研究院,广东广州 510000;

  • 2.

    上海交通大学电子信息与电气工程学院,上海 200240

基金项目: 国家自然科学基金资助项目(51577115)
详细信息
    作者简介:

    方燕琼(1993—),女,硕士,研究方向为微电网、虚拟电厂的运行与优化,E-mail:fangyanqiong93@163.com;
    艾芊(1969—),男,教授,博士生导师,研究方向为电能质量、人工智能、大数据及在电力系统中的应用、电力系统建模、分布式发电与微电网等。

  • 中图分类号: TM73

Intraday Interaction Mechanism of Virtual Power Plant Considering Members’ Response Willingness

  • 1.

    Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510000, China;

  • 2.

    College of Electronic, Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai 200240, China

摘要

    摘要
  • 摘要: 为了考虑电网、虚拟电厂(VPP)和内部分布式单元之间的互动,协调成员的可调节共享资源,本文在外部电网环境及内部成员意愿的基础上,研究了虚拟电厂内部个体的协同调度,实现其同外部电网的最优交互。根据电网调整需求和内部单元的响应意愿,建立基于日内调整的虚拟电厂互动机制,得到虚拟电厂的日内调整计划。算例表明所提日内互动机制可以有效协调虚拟电厂内部的可调整资源,保证虚拟电厂按照计划执行,并满足电网的调整计划。
    Abstract: The interaction between the grid, virtual power plant (VPP) and internal distributed generation (DG) needs to be considered to coordinate the adjustable resources. The coordinated scheduling of DG inside is proposed to realize the best interaction based on day-ahead scheduling by analyzing the grid conditions and members’ adjustment willingness. According to grid regulation demand and response willingness, an intraday interaction mechanism is developed to get the intraday scheduling results. The simulation shows that through the intraday interaction mechanism, the VPP realizes the optimal coordination of adjustable resources among DGs to ensure the implementation of VPP schedule, and meet the regulation plan of the grid.
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    • 参考文献(16)
  • 王尧.虚拟发电厂协调优化控制与竞价策略研究[D].北京:华北电力大学, 2015.
    ZAMANI A G, ZAKARIAZADEH A, JADID S, et al. Operational scheduling of virtual power plants in the presence of energy storages and demand response programs for participating in the energy market[J]. Electrical Power Distribution Networks Conference (EPDC), 2015 20th Conference on, 2015:218222.
    PEIK-HERFEH M, SEIFI H, SHEIKH-EL-ESLAMI M K. Decision making of a virtual power plant under uncertainties for bidding in a day-ahead market using point estimate method[J]. International Journal of Electrical Power and Energy Systems, 2013, 44(1):8898.
    JIN Y, WANG Z, JIANG C, et al. Dispatch and bidding strategy of active distribution network in energy and ancillary services market[J]. Journal of Modern Power Systems and Clean Energy, 2015, 3(4):565572.
    余爽, 卫志农, 孙国强, 等. 考虑不确定性因素的虚拟电厂竞标模型[J]. 电力系统自动化, 2014, 38(22):4349.
    YU Shuang, WEI Zhinong, SUN Guoqiang, et al. A bidding model for a virtual power plant considering uncertainties[J]. Automation of Electric Power Systems, 2014, 38(22):4349.
    HEREDIA F J, RIDER M J, CORCHERO C. Optimal bidding strategies for thermal and generic programming units in the day-ahead electricity market[J]. IEEE Transactions on Power Systems, 2010, 25(3):15041518.
    杨甲甲, 赵俊华, 文福栓, 等. 含电动汽车和风电机组的虚拟发电厂竞价策略[J]. 电力系统自动化, 2014, 38(13):92102.
    YANG Jiajia, ZHAO Junhua, WEN Fushuan, et al. Development of bidding strategies for virtual power plants considering uncertain outputs from plug-in electric vehicles and wind generators[J].Automation of Electric Power Systems, 2014, 38(13):92102.
    艾欣, 周树鹏, 赵阅群. 含虚拟发电厂的电力系统优化运行与竞价策略研究[J]. 中国电机工程学报, 2016, 36(23):63516362.
    AI Xin, ZHOU Shupeng, ZHAO Yuequn. Research on optimal operation and bidding strategy of power system with virtual power plant[J]. Proceedings of the CSEE, 2016, 36(23):63516362.
    董文略, 王群, 杨莉. 含风光水的虚拟电厂与配电公司协调调度模型[J]. 电力系统自动化, 2015, 30(9):7582.
    DONG Wenlue, WANG Qun, YANG Li .A coordinated dispatching model for a distribution utility and virtual power plants with wind/photovoltaic/hydro generators[J]. Automation of Electric Power Systems, 2015, 39(9):7582.
    龚锦霞. 含分布式电源的电网协调优化调度[D]. 上海:上海交通大学, 2014:2634.
    宋巍, 王佳伟, 赵海波, 等. 考虑需求响应交易市场的虚拟电厂多阶段竞价策略研究[J]. 电力系统保护与控制, 2017, 45(19):3545.
    SONG Wei, WANG Jiawei, ZHAO Haibo, et al. Research on multi-stage bidding strategy of virtual power plant considering demand response market[J]. Power System Protection and Control, 2017, 45(19):3545.
    郭红霞, 白浩, 刘磊, 等. 统一电能交易市场下的虚拟电厂优化调度模型[J]. 电工技术学报, 2015, 30(23):136145.
    GUO Hongxia, BAI Hao, LIU Lei, et al. Optimal scheduling model of virtual power plant in a unified electricity trading market[J]. Transactions of China Electrotechnical Society, 2015, 30(23): 136145.
    刘思源, 艾芊, 郑建平, 等. 多时间尺度的多虚拟电厂双层协调机制与运行策略[J]. 中国电机工程学报, 2018, 38(3):753761.
    LIU Siyuan, AI Qian, ZHENG Jianping, et al. Bi-level coordination mechanism and operation strategy of multi-time scale multiple virtual power plants[J]. Proceedings of the CSEE, 2018, 38(3):753761.
    刘毅然. 商业型虚拟发电厂建模及其市场交易策略研究[D]. 北京:华北电力大学, 2016.
    范松丽, 艾芊, 贺兴. 基于机会约束规划的虚拟电厂调度风险分析[J]. 中国电机工程学报, 2015, 35(16):40254034.
    FAN Songli, AI Qian, HE Xing. Risk analysis on dispatch of virtual power plant based on chance constrained programming[J]. Proceedings of the CSEE, 2015, 35(16): 40254034.
    方燕琼, 甘霖, 艾芊, 等. 基于主从博弈的虚拟电厂双层竞标策略[J]. 电力系统自动化, 2017, 41(14):6169.
    FANG Yanqiong, GAN Lin, AI Qian, et al. Stackelberg game based bi-level bidding strategy for virtual power plant[J]. Automation of Electric Power Systems, 2017, 41(14):6169.
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出版历程
  • 收稿日期:  2018-08-03
  • 发布日期:  2019-06-08

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