考虑两部制电价的用户侧储能规划
Considering of the User Side Energy Storage Planning of Two-Part Prize System
DOI: 10.12677/SG.2020.104016, PDF,   
作者: 张雪峰：深圳新能电力开发设计院有限公司，广东 深圳；马 政, 陈红州, 熊小伏：输配电装备及系统安全与新技术国家重点实验室(重庆大学)，重庆
关键词: 配电网；用户侧储能；两部制电价；储能优化配置；Distribution Network； User Side Energy Storage； Two Part Tariff； Optimized Configuration of Energy Storage
摘要: 随着储能技术的不断发展，储能在电网中的应用场景不断增多。在两部制电价下，储能应用在电力用户侧，不仅可以为用户带来套利收益，而且可以减少用户的基本电价。本文提出一种在两部制电价和储能周循环特性下，以用户侧储能的容量、运行方式为决策变量，以用户在储能全寿命周期下的净收益为目标函数，构建了配电网用户侧储能混合整数线性规划配置模型(MILP)。最后以深圳某用户为例，验证了所提方法的可行性和有效性。本方法是针对两部制电价下电力用户的储能优化配置，使用户充分运用储能获得最大收益，从而使储能价值得到充分发挥。
Abstract: With the development of energy storage technology, the application scenarios of energy storage in power grid are increasing. Under the two-part electricity price system, the application of energy storage on the power user side can not only bring profit arbitrage for the user, but also reduce the user’s basic electricity price. In this paper, a mixed integer linear programming configuration model (MILP) of energy storage on the user side of the distribution network is proposed under the two-part price system and the week cycle characteristics of energy storage. The capacity and operation mode of energy storage on the user side are taken as the decision variables, and the net income of the user under the life cycle of energy storage is taken as the objective function. Finally, a user in Shenzhen is taken as an example to verify the feasibility and effectiveness of the proposed method. This method is aimed at the optimal configuration of energy storage for power users under the two-part system, so that users can make full use of energy storage to obtain the maximum benefits, so as to give full play to the value of energy storage.
文章引用：张雪峰, 马政, 陈红州, 熊小伏. 考虑两部制电价的用户侧储能规划[J]. 智能电网, 2020, 10(4): 148-156. https://doi.org/10.12677/SG.2020.104016

参考文献

[1] 董凌, 年珩, 范越, 赵建勇, 张智, 林振智. 能源互联网背景下共享储能的商业模式探索与实践[J]. 电力建设, 2020, 41(4): 38-44.
[2] Zhang D., Li, J. and Hui, D. (2018) Coordinated Control for Voltage Regulation of Distribution Network Voltage Regulation by Distributed Energy Storage Systems. Protection & Control of Modern Power Systems, 3, 3. [Google Scholar] [CrossRef] 
[3] 杜鹏, 米增强, 贾雨龙, 等. 基于网损灵敏度方差的配电网分布式储能位置与容量优化配置方法[J]. 电力系统保护与控制, 2019, 47(6): 103-109.
[4] (2013) DOE/EPRI 2013 Electricity Storage Handbook in Collaboration with NRECA. Sandia National Laboratories, Albuquerque.
[5] 邢洁, 曹哲, 张怡, 孙强. 储能系统应用于用户侧的技术经济分析[J]. 电气应用, 2017, 36(1): 26-30.
[6] 刘继春, 陈雪, 向月. 考虑共享模式的市场机制下售电公司储能优化配置及投资效益分析[J/OL]. 电网技术, 1-12. https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename= DWJS202005018&uid=WEEvREcwSlJHSldRa1FhdXNzY2Z2V 3hSMGg0UFhaQ1R4SVlZRkRUN0JjVT0=$9A4hF_YAuvQ5o bgVAqNKPCYcEjKensW4IQMovwHtwkF4VYPoHbKxJw!!&v =MTM4MDViRzRITkhNcW85RWJJUjhlWDFMdXhZUzdEaDFUM 3FUcldNMUZyQ1VSN3FmWU9SbUZ5emhXNzdKSVRyQmY=, 2020-05-08.
[7] 姜欣, 郑雪媛, 胡国宝, 陈根永, 曾庆山. 市场机制下面向电网的储能系统优化配置[J]. 电工技术学报, 2019, 34(21): 4601-4610.
[8] 赵乙潼, 王慧芳, 何奔腾, 徐伟娜. 面向用户侧的电池储能配置与运行优化策略[J]. 电力系统自化, 2020, 44(6): 121-130.
[9] 丁逸行, 徐青山, 吕亚娟, 李淋. 考虑需量管理的用户侧储能优化配置[J]. 电网技术, 2019, 43(4): 1179-1186.
[10] 郑国太, 李昊, 赵宝国, 吴邦旭, 霍现旭, 唐巍. 基于供需能量平衡的用户侧综合能源系统电/热储能设备综合优化配置[J]. 电力系统保护与控制, 2018, 46(16): 8-18.
[11] 林俊豪, 古雄文, 马丽. 基于优化调度的用户侧电池储能配置及控制方法[J]. 储能科学与技术, 2018, 7(1): 90-99.
[12] 朱佳明, 刘斌, 谢海远, 李宏仲. 基于二层规划的用户侧储能容量配置和最优运行策略分析[J]. 南方电网技术, 2016, 10(10): 43-50.
[13] 徐培栋, 陈丽, 薛皓, 张晗. 两部制电价激励下的家庭储能优化配置及经济性分析[J]. 中国科技论文, 2018, 13(11): 1285-1290.
[14] 杨甲甲, 刘国龙, 赵俊华, 文福拴, 董朝阳. 采用长短期记忆深度学习模型的工业负荷短期预测方法[J]. 电力建设, 2018, 39(10): 20-27.

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