基于技术型虚拟电厂的配电网阻塞管理
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摘要
虚拟电厂不仅能够提高可再生能源在电力系统中的接入比例,转变能源结构,也可以通过对储能系统以及对电动汽车和居民可控负荷等需求侧资源的优化调度提高分布式电源的消纳能力。然而,随着虚拟电厂用户侧可再生能源和各种灵活负荷的广泛接入,往往会出现配电系统的线路潮流越限,导致线路发生阻塞,造成事故扩大,影响系统的安全稳定运行。针对此问题,研究了虚拟电厂安全校正优化问题,建立了基于技术型虚拟电厂的配电网阻塞管理模型,并以实际算例验证了该模型的有效性。
Virtual power plant can not only increase the proportion of renewable energy access in power system and change the energy structure, but also improve the absorptive capacity of distributed generation by optimizing the energy storage system and demand side resources such as electric vehicles and controllable load of residents, so as to reduce the impact of its access on the safe and stable operation of power grid. However, with the widespread access of renewable energy and various flexible loads on the user side of virtual power plants,the line power flow of distribution system will often exceed the limit,resulting in the blockage of distribution network. If not solved in time,it will lead to the expansion of accidents and affect the safe and stable operation of the entire power grid. Therefore, the key technologies of dispatching and operation of virtual power plant and distribution network need to be solved urgently. Aiming at this problem, this paper studies the optimization of security correction of virtual power plant by establishing a congestion management model of distribution network based on virtual power plant, and verifies the effectiveness of this model for distribution network when congestion occurs.
Virtual power plant can not only increase the proportion of renewable energy access in power system and change the energy structure, but also improve the absorptive capacity of distributed generation by optimizing the energy storage system and demand side resources such as electric vehicles and controllable load of residents, so as to reduce the impact of its access on the safe and stable operation of power grid. However, with the widespread access of renewable energy and various flexible loads on the user side of virtual power plants,the line power flow of distribution system will often exceed the limit,resulting in the blockage of distribution network. If not solved in time,it will lead to the expansion of accidents and affect the safe and stable operation of the entire power grid. Therefore, the key technologies of dispatching and operation of virtual power plant and distribution network need to be solved urgently. Aiming at this problem, this paper studies the optimization of security correction of virtual power plant by establishing a congestion management model of distribution network based on virtual power plant, and verifies the effectiveness of this model for distribution network when congestion occurs.
引文
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[14]朱梓荣,李群,卫志农,等.含新型统一潮流控制器的电力系统安全校正模型[J].电力系统自动化,2019,43(2):58-66.Zhu Zirong,Li Qun,Wei Zhinong,et al.Security correction model of power system with novel unified power flow controller[J].Automation of Electric Power Systems,2019,43(2):58-66(in Chinese).
[2]康重庆,姚良忠.高比例可再生能源电力系统的关键科学问题与理论研究框架[J].电力系统自动化,2017,41(9):2-11.Kang Chongqing,Yao Liangzhong.Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy[J].Automation of Electric Power Systems,2017,41(9):2-11(in Chinese).
[3]丁明,王伟胜,王秀丽,等.大规模光伏发电对电力系统影响综述[J].中国电机工程学报,2014,34(1):1-14.Ding Ming,Wang Weisheng,Wang Xiuli,et al.A review on the effect of large-scale PV generation on power systems[J].Proceedings of the CSEE,2014,34(1):1-14(in Chinese).
[4]杨丽君,吕雪姣,李丹,等.含分布式电源的配电网多故障抢修与恢复协调优化策略[J].电力系统自动化,2016,40(20):13-19.Yang Lijun,Lyu Xuejiao,Li Dan,et al.Coordinated optimization strategy of multi-fault repair and recovery for distribution network with distributed generators[J].Automation of Electric Power Systems,2016,40(20):13-19(in Chinese).
[5]卫志农,余爽,孙国强,等.虚拟电厂的概念与发展[J].电力系统自动化,2013,37(13):1-9.Wei Zhinong,Yu Shuang,Sun Guoqiang,et al.Concept and development of virtual power plant[J].Automation of Electric Power Systems,2013,37(13):1-9(in Chinese).
[6]魏向向,杨德昌,叶斌.能源互联网中虚拟电厂的运行模式及启示[J].电力建设,2016,37(4):1-9.Wei Xiangxiang,Yang Dechang,Ye Bin.Operation mode of virtual power plant in energy internet and its enlightenment[J].Electric Power Construction,2016,37(4):1-9(in Chinese).
[7]Mashhour E,Elaheh,Moghaddas S M.A review on operation of microgrids and virtual power plants in the power markets[C].2nd International Conference on Adaptive Science and Technology,January 14-16,2009,Accra,Ghana:273-277.
[8]Ding Huajie,Hu Zechun,Song Yonghua.Stochastic optimization of the daily operation of wind farm and pumped-hydro-storage plant[J].Renewable Energy,2012,48(6):571-578.
[9]张培深.基于智能配电软开关和市场机制的有源配电网阻塞管理方法[D].天津:天津大学,2017.Zhang Peishen.A congestion management method of active distribution networks based on SOP and market mechanism[D].Tianjin:Tianjin University,2017(in Chinese).
[10]Seyyed Mahdavi S,Javidi M H,VPP decision making in power markets using Benders decomposition[J].International Transactions on Electrical Energy Systems,2014,24(7):960-975.
[11]康重庆,刘静琨,张宁.未来电力系统储能的新形态:云储能[J].电力系统自动化,2017,41(21):2-8+16.Kang Chongqing,Liu Jingkun,Zhang Ning.A new form of energy storage in future power system:cloud energy storage[J].Automation of Electric Power Systems,2017,41(21):2-8+16(in Chinese).
[12]周亦洲,孙国强,黄文进,等.计及电动汽车和需求响应的多类电力市场下虚拟电厂竞标模型[J].电网技术,2017,41(6):1759-1766.Zhou Yizhou,Sun Guoqiang,Huang Wenjin,et al.Strategic bidding model for virtual power plant in different electricity markets considering electric vehicles and demand response[J].Power System Technology,2017,41(6):1759-1766(in Chinese).
[13]程耀华,张宁,康重庆,等.低碳多能源系统的研究框架及展望[J].中国电机工程学报,2017,37(14):4060-4069+4285.Cheng Yaohua,Zhang Ning,Kang Chongqing,et al.Research framework and prospects of low-carbon multiple energy systems[J].Proceedings of the CSEE,2017,37(14):4060-4069+4285(in Chinese).
[14]朱梓荣,李群,卫志农,等.含新型统一潮流控制器的电力系统安全校正模型[J].电力系统自动化,2019,43(2):58-66.Zhu Zirong,Li Qun,Wei Zhinong,et al.Security correction model of power system with novel unified power flow controller[J].Automation of Electric Power Systems,2019,43(2):58-66(in Chinese).