上海交通大学学报

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2025 , Vol. 59 >Issue 9: 1359 - 1369

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.481

新型电力系统与综合能源

考虑定制电力违约风险的分布式储能分级定价策略

  • 方珺 ,
  • 何德 ,
  • 裴志刚 ,
  • 彭智慧 ,
  • 鲍洁滢 ,
  • 刘维康 ,
  • 周斌
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  • 1 国网浙江省电力有限公司绍兴供电公司, 浙江 绍兴 312000
    2 湖南大学 电气与信息工程学院, 长沙 410082
方 珺(1994—),工程师,从事分布式储能技术方面研究.
周 斌,教授,博士生导师;E-mail:binzhou@hnu.edu.cn.

收稿日期: 2023-09-21

  修回日期: 2023-10-20

  录用日期: 2023-11-17

  网络出版日期: 2023-11-23

基金资助

国网浙江省电力有限公司科技项目(B311SX230004)

收起

A Multi-Grade Pricing Strategy for Distributed Energy Storage Considering Default Risks of Customized Power Services

  • FANG Jun ,
  • HE De ,
  • PEI Zhigang ,
  • PENG Zhihui ,
  • BAO Jieying ,
  • LIU Weikang ,
  • ZHOU Bin
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  • 1 Shaoxing Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Shaoxing 312000, Zhejiang, China
    2 College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Received date: 2023-09-21

  Revised date: 2023-10-20

  Accepted date: 2023-11-17

  Online published: 2023-11-23

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摘要

针对分布式储能为敏感用户提供多种定制电力服务的盈利模式与交易定价问题,提出了一种分布式储能提供无功补偿、电压暂降和谐波治理等多种定制电力服务的分级定价方法.首先,基于储能变流器的四象限运行特性,考虑用户差异化电能质量需求建立了定制电力服务分级评估指标,并构建了不同电能质量等级下储能提供定制电力服务的容量成本估计模型.其次,建立了考虑电能质量经济损失的用户定制电力效用函数及其个人理性购电约束,构建了考虑电能质量违约风险的分布式储能定制电力收益模型以及储能投资成本约束,在此基础上提出了分布式储能提供差异化定制电力服务的分层协同交易框架及其分级定价优化策略.最后,通过大M线性化和用户效用函数约束化处理将非线性储能定制电力分级定价模型转化为混合整数线性规划模型进行优化求解,获得优质电力最优附加电价和用户购电套餐.算例对比分析验证了所提策略在提升储能年运营收益的同时可降低用户定制电力成本.

关键词： 分布式储能; 定制电力; 条件风险价值; 分级定价; 混合整数规划

本文引用格式

方珺 , 何德 , 裴志刚 , 彭智慧 , 鲍洁滢 , 刘维康 , 周斌 . 考虑定制电力违约风险的分布式储能分级定价策略[J]. 上海交通大学学报, 2025 , 59(9) : 1359 -1369 . DOI: 10.16183/j.cnki.jsjtu.2023.481

Abstract

To address the problems in the profit model and transaction pricing of distributed energy storage providing multiple customized power services for sensitive customers, a multi-grade pricing strategy for distributed energy storage to provide various customized power services is proposed, including reactive power compensation, voltage sag control, and harmonic control. First, based on the four-quadrant operation characteristics of energy storage converter, a multi-grade evaluation indicator system of customized power services is established considering the differentiated user demands for power quality. Then, a cost-to-capacity model is developed for energy storage to provide customized power services in different power quality standards. Next, by taking economic loss of power quality into account, a user customized power utility function is established with individual rational constraint. Afterwards, considering power quality default risk and investment cost constraints, a customized power revenue model of distributed energy storage is constructed. Furthermore, a multi-grade trading framework for distributed energy storage to provide differentiated customized power services and its multi-grade pricing optimization strategy are proposed. Finally, in order to obtain the optimal additional tariff and user purchase package for premium power, the nonlinear multi-grade pricing model is transformed into a mixed integer linear programming model for optimization by using the big M method and transforming the user utility function into a constraint. The comparative analysis of the algorithm demonstrates that the proposed strategy can reduce the annual cost of customized power services for users while simultaneously enhancing the energy storage revenue.

Key words： distributed energy storage; customized power; conditional value-at-risk; multi-grade pricing; mixed integer programming

参考文献

[1] 国家能源局. 2022年光伏发电建设运行情况[EB/OL]. (2023-02-17)[2023-09-18]. http://www.nea.gov.cn/2023-02/17/c1310698128.htm?eqid=94f1dd940000b94a00000003643f4c9b.
  National Energy Administration. Construction and operation of photovoltaic power generation in 2022[EB/OL]. (2023-02-17)[2023-09-18]. http://www.nea.gov.cn/2023-02/17/c1310698128.htm?eqid=94f1dd940000b94a00000003643f4c9b.
[2] 国家发展改革委,国家能源局. 关于印发《“十四五”新型储能发展实施方案》的通知[EB/OL]. (2022-01-29)[2023-09-18]. https://www.gov.cn/zhengce/zhengceku/2022-03/22/content_5680417.htm.
  National Development and Reform Commission, National Energy Administration. Notice on the issuance of the “14th Five-Year Plan” new energy storage development implementation plan[EB/OL]. (2022-01-29)[2023-09-18]. https://www.gov.cn/zhengce/zhengceku/2022-03/22/content_5680417.htm.
[3] 李迁, 姜欣, 张钧钊, 等. 规模化储能参与电力现货市场的商业模式[J]. 上海交通大学学报, 2022, 57(12): 1543-1558.
  LI Qian, JIANG Xin, ZHANG Junzhao, et al. Business models of large-scale energy storage system to participate in electricity spot market[J]. Journal of Shanghai Jiao Tong University, 2022, 57(12): 1543-1558.
[4] SANG L W, XU Y L, LONG H, et al. Electricity price prediction for energy storage system arbitrage: A decision-focused approach[J]. IEEE Transactions on Smart Grid, 2022, 13(4): 2822-2832.
[5] OLSEN D J, KIRSCHEN D S. Profitable emissions-reducing energy storage[J]. IEEE Transactions on Power Systems, 2020, 35(2): 1509-1519.
[6] 陈丽娟, 吴甜恬, 柳惠波, 等. 基于需量管理的两阶段大用户储能优化模型[J]. 电力系统自动化, 2019, 43(1): 194-200.
  CHEN Lijuan, WU Tiantian, LIU Huibo, et al. Demand management based two-stage optimal storage model for large users[J]. Automation of Electric Power Systems, 2019, 43(1): 194-200.
[7] 严干贵, 刘莹, 段双明, 等. 电池储能单元群参与电力系统二次调频的功率分配策略[J]. 电力系统自动化, 2020, 44(14): 26-34.
  YAN Gangui, LIU Ying, DUAN Shuangming, et al. Power distribution strategy for battery energy storage unit group participating in secondary frequency regulation of power system[J]. Automation of Electric Power Systems, 2020, 44(14): 26-34.
[8] CAO Y, ZHOU B, CHUNG C Y, et al. Dynamic modelling and mutual coordination of electricity and watershed networks for spatio-temporal operational flexibility enhancement under rainy climates[J]. IEEE Transactions on Smart Grid, 2023, 14(5): 3450-3464.
[9] CHEN C M, LI Y, QIU W Q, et al. Cooperative game based day-ahead scheduling for local integrated energy systems with shared energy storage[J]. IEEE Transactions on Sustainable Energy, 2022, 13(4): 1994-2011.
[10] 吕祥梅, 刘天琪, 刘绚, 等. 考虑高比例新能源消纳的多能源园区日前低碳经济调度[J]. 上海交通大学学报, 2021, 55(12): 1586-1597.
  Lü Xiangmei, LIU Tianqi, LIU Xuan, et al. Low-carbon economic dispatch of multi-energy park considering high proportion of renewable energy[J]. Journal of Shanghai Jiao Tong University, 2021, 55(12): 1586-1597.
[11] 刘晓忠, 杨鹏, 杨哲, 等. 基于用户需求层级的增量配电网电能质量定价方法[J]. 电气工程学报, 2020, 15(3): 135-142.
  LIU Xiaozhong, YANG Peng, YANG Zhe, et al. Pricing method of power quality based on user demand levels in incremental distribution networks[J]. Journal of Electrical Engineering, 2020, 15(3): 135-142.
[12] 张青苗, 陈来军, 马恒瑞, 等. 基于主从博弈的共享储能分时电价策略[J]. 智慧电力, 2022, 50(7): 82-88.
  ZHANG Qingmiao, CHEN Laijun, MA Hengrui, et al. Time-of-use price strategy for shared energy storage based on Stackelberg game[J]. Smart Power, 2022, 50(7): 82-88.
[13] 刘娜, 武占军, 郭灵杰, 等. 引入电能质量保险机制的日前电能量市场打分出清决策[J]. 电网技术, 2022, 46(6): 2151-2164.
  LIU Na, WU Zhanjun, GUO Lingjie, et al. Day-ahead electricity energy market score clearing decision introducing power quality insurance mechanism[J]. Power System Technology, 2022, 46(6): 2151-2164.
[14] LI J Y, XU D S, WANG J H, et al. P2P multigrade energy trading for heterogeneous distributed energy resources and flexible demand[J]. IEEE Transactions on Smart Grid, 2023, 14(2): 1577-1589.
[15] LEE T J, HENRIQUEZ AUBA R, POOLLA B K, et al. Pricing and energy trading in peer-to-peer zero marginal-cost microgrids[J]. IEEE Transactions on Smart Grid, 2022, 13(1): 702-714.
[16] SABER H, HEIDARABADI H, MOEINI AGHTAIE M, et al. Expansion planning studies of independent-locally operated battery energy storage systems (BESSs): A CVaR-based study[J]. IEEE Transactions on Sustainable Energy, 2020, 11(4): 2109-2118.
[17] KISHIDA M, CETINKAYA A, Risk-aware linear quadratic control using conditional value-at-risk[J]. IEEE Transactions on Automatic Control, 2022, 68(1): 416-423.
[18] 水利电力部,国家物价局. 关于颁布《功率因数调整电费办法》的通知[S]. 北京: 水利电力部, 国家物价局, 1983.
  Ministry of Water Conservancy and Electric Power, State Administration for Commodity Prices. Notice on promulgating the “measures for power factor adjustment of electricity charges”[S]. Beijing: Ministry of Water Conservancy and Electric Power, State Administration for Commodity Prices, 1983.
[19] 中国国家标准化管理委员会. 电能质量公用电网谐波: GB/T 14549—1993[S]. 北京: 中国标准出版社, 1993.
  Standardization Administration of China. Harmonic standard for power quality public power grid: GB/T 14549—1993[S]. Beijing: Standards Press of China, 1993.
[20] 中国国家标准化管理委员会. 电能质量电压暂降与短时中断: GB/T 30137—2013[S]. 北京: 中国标准出版社, 2013.
  Standardization Administration of China. Power quality voltage sags and short interruptions: GB/T 30137—2013[S]. Beijing: Standards Press of China, 2013.
[21] 王俊, 曹建军. 优质电力市场中的特征定价方法研究[J]. 中国市场, 2022 (3): 14-16.
  WANG Jun, CAO Jianjun. Research on hedonic price method in high-quality electricity market[J]. China Market, 2022 (3): 14-16.
[22] 杨博, 王俊婷, 俞磊, 等. 基于孔雀优化算法的配电网储能系统双层多目标优化配置[J]. 上海交通大学学报, 2022, 56(10): 1294-1307.
  YANG Bo, WANG Junting, YU Lei, et al. Peafowl optimization algorithm based bi-level multi-objective optimal allocation of energy storage systems in distribution network[J]. Journal of Shanghai Jiao Tong University, 2022, 56(10): 1294-1307.
[23] 李璟. 谐波治理措施及谐波电流计算的经验公式[J]. 价值工程, 2013, 32(11): 26-27.
  LI Jing. Harmonics control measures and emprical formula for harmonics current calculation[J]. Value Engineering, 2013, 32(11): 26-27.
[24] 吴晓飞, 戴晖, 黄晓剑, 等. 挖掘光伏无功能力的配电网无功电压协调控制策略[J]. 电力建设, 2019, 40(5): 78-89.
  WU Xiaofei, DAI Hui, HUANG Xiaojian, et al. Coordinated voltage control strategy of distribution network considering PV’s reactive power[J]. Electric Power Construction, 2019, 40(5): 78-89.
[25] FAN L L, WANG Z Y, MIAO Z X. Large angle deviation in grid-following IBRs upon grid voltage dip[J]. IEEE Transactions on Energy Conversion, 2023, 39(1): 1-10.
[26] ZHONG J J, LI Y, WU Y, et al. Optimal operation of energy hub: An integrated model combined distributionally robust optimization method with Stackelberg game[J]. IEEE Transactions on Sustainable Energy, 2023, 14(3): 1835-1848.
[27] 董海艳, 陈杰, 贾清泉, 等. 考虑敏感用户需求的电能质量分级与购售电策略[J]. 电力自动化设备, 2022, 42(2): 201-209.
  DONG Haiyan, CHEN Jie, JIA Qingquan, et al. Power quality gradation and power purchase and sale strategy considering sensitive users’ demand[J]. Electric Power Automation Equipment, 2022, 42(2): 201-209.
[28] MORADIPARI A, TUCKER N, ALIZADEH M. Mobility-aware electric vehicle fast charging load models with geographical price variations[J]. IEEE Transactions on Transportation Electrification, 2021, 7(2): 554-565.
[29] WANG Y, DENG L F, BOLLEN M H J, et al. Calculation of the point-on-wave for voltage dips in three-phase systems[J]. IEEE Transactions on Power Delivery, 2020, 35(4): 2068-2079.
[30] 张逸, 吴逸帆, 陈晶腾. 新型电力系统背景下电压暂降风险评估技术挑战与展望[J]. 电力建设, 2023, 44(2): 15-24.
  ZHANG Yi, WU Yifan, CHEN Jingteng. Research status of voltage sag risk assessment and prospect under the background of new power system[J]. Electric Power Construction, 2023, 44(2): 15-24.
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