[1]牛文娟,王磊,李扬.需求响应项目中用户基线负荷计算方法及其应用[J].东南大学学报(自然科学版),2014,44(3):556-560.[doi:10.3969/j.issn.1001-0505.2014.03.019]
 Niu Wenjuan,Wang Lei,Li Yang.Calculation method and application of customer baseline load in demand response project[J].Journal of Southeast University (Natural Science Edition),2014,44(3):556-560.[doi:10.3969/j.issn.1001-0505.2014.03.019]
点击复制

需求响应项目中用户基线负荷计算方法及其应用()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
44
期数:
2014年第3期
页码:
556-560
栏目:
电气工程
出版日期:
2014-05-16

文章信息/Info

Title:
Calculation method and application of customer baseline load in demand response project
作者:
牛文娟王磊李扬
东南大学电气工程学院, 南京210096
Author(s):
Niu Wenjuan Wang Lei Li Yang
School of Electrical Engineering, Southeast University, Nanjing 210096, China
关键词:
需求响应项目 用户基线负荷 可中断负荷优化 费用结算
Keywords:
demand response project customer baseline load interruptible load optimization expense settlement
分类号:
TM73
DOI:
10.3969/j.issn.1001-0505.2014.03.019
摘要:
对国外需求响应项目实施中用户基线负荷的研究进行整理,总结出国外常用的基线负荷计算方法.基于智能电网技术优势,提出适合项目应用的基于信息双向互动的用户基线负荷计算方法,该方法考虑了用户次日保电计划和检修计划,可为定量评价用户负荷的减少程度提供依据.将用户基线负荷应用于可中断负荷优化调度中用户削减量决策变量优化范围的确定,当用户基线负荷超过最大削减容量限制或低于最低保障负荷时能合理计算决策变量优化范围,使得优化结果更具有时效性和可执行性.基于用户基线负荷和决策结果的执行情况提出补偿和惩罚相结合的费用结算方式,用户削减效果好得到的补偿多,削减效果差得到的补偿少,合理的补偿和惩罚可激发用户参与需求响应项目的潜力.
Abstract:
The literature about customer baseline load in demand response projects abroad is systematically reviewed, and the common calculation methods of customer baseline load aboard are summarized. With the technical advantages of smart grid, the suitable calculation method of customer baseline load for project implementation is proposed based on the information interaction. The method takes the power consumption plan and repair schedule into consideration, which can supply a quantitative assessment method of customer load reduction level in demand response projects. The customer baseline load is applied to the optimization range research of customer load reduction in interruptible load projects optimization dispatching. The optimization ranges are reasonably determined when customer baseline load is beyond the limitation of maximum curtailment capacity or below the minimum security capacity, which makes the results more time-efficient and practical. Combining penalties with compensations, the expense settlement method is studied according to the actual implementation of dispatching decision. The more loads customers interrupt, the more compensation they obtain. The reasonable rewards and penalty can stimulate the customers’ potential to participate in demand response projects.

参考文献/References:

[1] 张钦, 王锡凡, 王建学, 等. 电力市场下需求响应研究综述[J]. 电力系统自动化, 2008, 32(3): 97-106.
  Zhang Qin, Wang Xifan, Wang Jianxue, et al. Survey of demand response research in deregulated electricity markets[J]. Automation of Electric Power Systems, 2008, 32(3): 97-106.(in Chinese)
[2] 薛禹胜, 罗运虎, 李碧君, 等. 关于可中断负荷参与系统备用的评述[J]. 电力系统自动化, 2007, 31(10): 1-6.
  Xue Yusheng, Luo Yunhu, Li Bijun, et al. A review of interruptible load participating in system reserve[J]. Automation of Electric Power Systems, 2007, 31(10): 1-6.(in Chinese)
[3] 罗运虎, 薛禹胜, Ledwich G, 等. 低电价与高赔偿2种可中断负荷的协调[J]. 电力系统自动化, 2007, 31(11): 17-21.
  Luo Yunhu, Xue Yusheng, Ledwich G, et al. Coordination of low price interruptible load and high compensation interruptible load[J]. Automation of Electric Power Systems, 2007, 31(11): 17-21.(in Chinese)
[4] Grimm C. Evaluating baselines for demand response programs[C/OL]//2008 AEIC Load Research Workshop. San Antonio, TX, USA, 2008. http://publications.aeic.in/lrc/12_Evaluating_Baselines_for_Demand_Response_Programs_PAPER.pdf.
[5] Won J-R, Yoon Y-B, Choi J-H, et al. Case study of customer baseline(CBL)load determination in Korea based on statistical method[C/OL]//Transmission and Distribution Conference and Exposition: Asia and Pacific. Seoul, South Korea, 2009. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5353036.
[6] Nose-Filho K, Lotufo A D P, Minussi C R. Short-term multinodal load forecasting using a modified general regression neural network[J]. IEEE Transactions on Power Delivery, 2011, 26(4): 2862-2869.
[7] Senjyu T, Mandal P, Uezato K, et al. Next day load curve forecasting using hybrid correction method[J]. IEEE Transactions on Power Systems, 2005, 20(1): 102-109.
[8] Coughlin K, Piette M A, Goldman C, et al. Estimating demand response load impacts: evaluation of baseline load models for non-residential buildings in California[EB/OL].(2008-01)[2013-03-10]. http://escholarship.org/uc/item/8jx6t5q9.
[9] Coughlin K, Piette M A, Goldman C, et al. Statistical analysis of baseline load models for non-residential buildings[J]. Energy and Buildings, 2009, 41(4): 374-381.
[10] 赵锡平, 宋岱, 张国庆, 等. 山东省气温与最大负荷和用电量的关联性分析[J]. 电网技术, 2004, 28(17): 37-40.
  Zhao Xiping, Song Dai, Zhang Guoqing, et al. Research on correlativity among air temperature, maximum load and power consumption in Shandong power grid[J]. Power System Technology, 2004, 28(17): 37-40.(in Chinese)
[11] Mathieu J L, Callaway D S, Kiliccote S. Variability in automated responses of commercial buildings and industrial facilities to dynamic electricity prices[J]. Energy and Buildings, 2011, 43(12): 3322-3330.
[12] Mathieu J L, Price P N, Kiliccote S, et al. Quantifying changes in building electricity use, with application to demand response[J]. IEEE Transactions on Smart Grid, 2011, 2(3): 507-518.
[13] Varadan S. A new temperature-load adjusted baseline method for measuring demand savings[C]//2002 IEEE Power Engineering Society Summer Meeting. Chicago, IL, USA, 2002: 582-586.
[14] 张钦, 王锡凡, 付敏, 等. 需求响应视角下的智能电网[J]. 电力系统自动化, 2009, 33(17): 49-55.
  Zhang Qin, Wang Xifan, Fu Min, et al. Smart grid from the perspective of demand response[J]. Automation of Electric Power Systems, 2009, 33(17): 49-55.(in Chinese)
[15] 于娜, 芙蓉薇. 电力市场高峰时段可中断负荷优化购买模型[J]. 电力系统及其自动化学报, 2010, 22(4): 89-93.
  Yu Na, Fu Rongwei. Optimization model of interruptible load dispatch during the peak load time periods in the earlier power market[J]. Proceedings of the CSU-EPSA, 2010, 22(4): 89-93.(in Chinese)
[16] Aminifar F, Fotuhi-Firuzabad M, Shahidehpour M. Unit commitment with probabilistic spinning reserve and interruptible load considerations[J]. IEEE Transactions on Power Systems, 2009, 24(1): 388-397.
[17] Li Haiying, Li Yuzeng, Li Zuyi. A multiperiod energy acquisition model for a distribution company with distributed generation and interruptible load[J]. IEEE Transactions on Power Systems, 2007, 22(2): 588-596.

备注/Memo

备注/Memo:
收稿日期: 2013-10-09.
作者简介: 牛文娟(1983—),女,博士生;李扬(联系人),男,博士,教授,博士生导师,li_yang@seu.edu.cn.
基金项目: 国家高技术研究发展计划(863计划)资助项目(2011AA05A115).
引用本文: 牛文娟,王磊,李扬.需求响应项目中用户基线负荷计算方法及其应用[J].东南大学学报:自然科学版,2014,44(3):556-560. [doi:10.3969/j.issn.1001-0505.2014.03.019]
更新日期/Last Update: 2014-05-20