计及阻塞管理的虚拟电厂与配电网协同运行策略

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (3039 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In the modern distribution system, as an effective method to manage distributed resources, the pilot projects of virtual power plant (VPP) are springing up. Multiple VPPs have accessed to the distribution network. Lacking of effective method to coordinate internal resources and guidance of distribution network may bring problems of low income and power flow off-limit. Therefore, a peer-to-peer electricity sharing mechanism is applied in VPP, and a cooperative operation model between VPP and distribution network is established. Firstly, based on the complementary characteristics of multiple prosumers integrated in VPP, a distributed optimization is adopted to manage the interaction strategy with the distribution network. In the distribution network, to ensure the safety operation with multiple VPPs, the congestion management price is obtained based on the Lagrange multiplier to guide the VPPs to adjust their scheduling strategy. The simulation results show that the proposed method can ensure the safety of distribution network operation and the economy of VPPs operation.

Key words： distribution network distributed energy resources peer-to-peer electricity sharing virtual power plant congestion management

Received: 16 February 2022

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LAN Wei
	CHEN Feixiong

Cite this article:

LAN Wei,CHEN Feixiong. Cooperative operation strategy of distribution network and virtual power plants considering congestion management[J]. Electrical Engineering, 2022, 23(6): 30-41.

URL:

http://dqjs.cesmedia.cn/EN/Y2022/V23/I6/30

[1] 徐韶峰. 拥抱碳中和, 助力构建电网低碳可持续未来[J]. 电气技术, 2020, 21(12): 7-8.
[2] 张迪, 苗世洪, 周宁, 等. 分布式发电市场化环境下各交易主体响应行为模型[J]. 电工技术学报, 2020, 35(15): 3327-3340.
[3] 郭庆来, 王博弘, 田年丰, 等. 能源互联网数据交易:架构与关键技术[J]. 电工技术学报, 2020, 35(11): 2285-2295.
[4] 李翔宇, 赵冬梅. 基于模糊-概率策略实时反馈的虚拟电厂多时间尺度优化调度[J]. 电工技术学报, 2021, 36(7): 1446-1455.
[5] 麻秀范, 余思雨, 朱思嘉, 等. 基于多因素改进Shapley的虚拟电厂利润分配[J]. 电工技术学报, 2020, 35(增刊2): 585-595.
[6] 田立亭, 程林, 郭剑波, 等. 虚拟电厂对分布式能源的管理和互动机制研究综述[J]. 电网技术, 2020, 44(6): 2097-2108.
[7] 徐慧. 基于风光水储互补发电系统的火电及碳捕集优化调度研究[D]. 昆明: 昆明理工大学, 2020.
[8] 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): 1759-1767.
[9] 徐剑利, 赵勇, 连义成. 基于区块链的分布式电能交易系统技术研究[J]. 电气技术, 2020, 21(10): 7-14.
[10] LUTH A, ZEPTER J M, GRANADO P C D, et al. Local electricity market designs for peer-to-peer trading: the role of battery flexibility[J]. Applied Energy, 2018, 229: 1233-1243.
[11] PAUDEL A, CHAUDHARI K, LONG C, et al.Peer-to-peer energy trading in a prosumer-based community microgrid: a game-theoretic model[J]. IEEE Transactions on Industrial Electronics, 2019, 66(8): 6087-6097.
[12] 胡鹏, 艾欣, 杨昭, 等. 考虑电能共享的综合能源楼宇群日前协同优化调度[J]. 电力自动化设备, 2019, 39(8): 239-245.
[13] 汪宝, 匡洪海, 郑丽平, 等. 分布式发电与配电网的协调发展与技术展望[J]. 电气技术, 2017, 18(3): 5-9.
[14] 李玉齐, 张健. 关于微网的新型配电系统研究概述与思考[J]. 电气技术, 2020, 21(5): 1-5, 14.
[15] 耿博, 孙英英, 黄媚, 等. 考虑分布式电源与需求侧的主动配电网多级协调调度方法[J]. 电气技术, 2017, 18(7): 21-27.
[16] 吴界辰, 艾欣. 交互能源机制下的电力产消者优化运行[J]. 电力系统自动化, 2020, 44(19): 1-18.
[17] FLATH C M, ILG J P, GOTTWALT S, et al.Improving electric vehicle charging coordination through area pricing[J]. Transportation Science, 2014, 48(4): 619-634.
[18] 刘伟佳, 吴秋伟, 文福拴, 等. 电动汽车和可控负荷参与配电系统阻塞管理的市场机制[J]. 电力系统自动化, 2014, 38(24): 26-33.
[19] LI Fangxing, BO Rui.DCOPF-based LMP simulation: algorithm, comparison with ACOPF, and sensitivity[J]. IEEE Transactions on Power Systems, 2007, 22(4): 1475-1485.
[20] 孙惠, 翟海保, 吴鑫. 源网荷储多元协调控制系统的研究及应用[J]. 电工技术学报, 2021, 36(15): 3264-3271.
[21] BOYD S, PARIKH N, CHU E, et al.Distributed optimization and statistical learning via the alternating drection method of multipliers[M]. Delft, The Nether- lands: Now Publishers, 2011.
[22] 任文诗, 高红均, 刘友波, 等. 智能建筑群电能日前优化共享[J]. 电网技术, 2019, 43(7): 2568-2577.
[23] MORSTYN T, McCULLOCH M D. Multiclass energy management for peer-to-peer energy trading driven by prosumer preferences[J]. IEEE Transactions on Power Systems, 2019, 34(5): 4005-4014.
[24] BAI Linquan, WANG Jianhui, WANG Chengshan, et al.Distribution locational marginal pricing (DLMP) for congestion management and voltage support[J]. IEEE Transactions on Power Systems, 2018, 33(4): 4061-4073.