[1]张晓花,朱陈松,张嘉伟,等.考虑尖峰电价的节能减排机组组合[J].常州大学学报(自然科学版),2019,31(04):70-75.[doi:10.3969/j.issn.2095-0411.2019.04.010]
 ZHANG Xiaohua,ZHU Chensong,ZHANG Jiawei,et al.Cost-Emission Unit Commitment Considering Critical Peak Pricing[J].Journal of Changzhou University(Natural Science Edition),2019,31(04):70-75.[doi:10.3969/j.issn.2095-0411.2019.04.010]
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考虑尖峰电价的节能减排机组组合()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
第31卷
期数:
2019年04期
页码:
70-75
栏目:
机械制造及其自动化
出版日期:
2019-07-28

文章信息/Info

Title:
Cost-Emission Unit Commitment Considering Critical Peak Pricing
文章编号:
2095-0411(2019)04-0070-06
作者:
张晓花12朱陈松3张嘉伟4朱正伟5
(1. 常州大学 机械工程学院,江苏 常州 213164; 2. 常州大学江苏省绿色过程装备重点实验室,江苏 常州 213164; 3. 常州大学 商学院,江苏 常州 213164; 4. 中海油能源发展装备技术有限公司 上海分公司,上海 200335; 5. 常州大学 信息科学与工程学院,江苏 常州 213164)
Author(s):
ZHANG Xiaohua12 ZHU Chensong3 ZHANG Jiawei4 ZHU Zhengwei5
(1. School of Mechanical Engineering, Changzhou University, Changzhou 213164, China; 2. Jiangsu Key Laboratory of Green Process Equipment, Changzhou University, Changzhou 213164, China; 3. Business College, Changzhou University, Changzhou 213164, China; 4. China National Offshore Oil Corporation Energy Technology Equipment Technology Company Limited Shanghai Branch, Shanghai 200335, China; 5.School of Information Science and Engineering, Changzhou University, Changzhou 213164, China)
关键词:
尖峰电价 节能减排 负荷削减 机组组合
Keywords:
critical peak price cost-emission peak load cutting unit commitment
分类号:
TM 714
DOI:
10.3969/j.issn.2095-0411.2019.04.010
文献标志码:
A
摘要:
基于尖峰电价机制,引入动态需求价格弹性并分析动态线性价格需求响应,建立了基于尖峰电价并考虑节能减排的机组组合模型,目标函数中加入削减负荷的补偿成本。仿真结果表明,尖峰电价作为考虑需求响应的一种灵活定价机制,能优化机组的启停及出力,还能通过优化价格波动引导需求侧的用电行为和负荷曲线,将高峰时段的部分负荷直接削减,并给予削减负荷一定的补偿,有效地削减了负荷的峰谷差。并综合考虑了节能减排的协调,是协调供需双方在达到供需平衡基础上提高系统节能减排能力的一种有效方式。
Abstract:
Critical peak pricing with dynamic elasticity of demand is implemented, and the cost-emission unit commitment model based on critical peak pricing is proposed, Demand cutting cost is introduced in the objective function. Finally, simulation is implemented and the results show the effectiveness of the proposed module. The critical peak pricing as a flexible pricing mechanism can optimize the units status and output. It can also guide the demand side electricity consumption behavior and load curve by optimizing price fluctuation. The penk-valley load can be effectinely reduced by reducing part of the load during the peak period and compensating the load reduction to a certain extent. Considering the coordination of energy and emission, it is an effective way to improve the energy saving and emission reduction of the system based on the balance between supply and demand.

参考文献/References:

[1]US Department of Energy. Benefits of demand response in electricity markets and recommendations for achieving them, Report to the United States Congress[R/OL].(2006-02-05)[2018-01-25]. http://eetd.lbl.gov.
[2]AGHAEI J, ALIZADEH M I. Demand response in smart electricity grids equipped with renewable energy sources: A review[J].Renewable and Sustainable Energy Reviews,2013,18:64-72.
[3]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.
[4]刘小聪, 王蓓蓓, 李扬, 等. 智能电网下计及用户侧互动的发电日前调度计划模型[J]. 中国电机工程学报, 2013, 33(1): 30-38.
[5]BARTUSCH C,ALVEHAG K.Further exploring the potential of residential demand response programs in electricity distribution[J].Applied Energy,2014,125:39-59.
[6]ROSCOE A J, AULT G. Supporting high penetrations of renewable generation via implementation of real time electricity pricing and demand response[J].IET Renewable Power Generation, 2010, 4(4):369-382.
[7]CONEJO A J, MORALES J M, BARINGO L. Real-time demand response model[J]. IEEE Transactions on Smart Grid, 2010, 1(3): 236-242.
[8]PIETTE M A,WATSON D,MOTEGI N,et al. Auto mated critical peak pricing field tests: program description and results[EB/OL].(2007-07-21)[2018-01-25].http://drrc.lbl.gov/pubs/59351.pdf.
[9]HERTER K, WAYLAND S. Residential response to critical-peak pricing of electricity: California evidence[J]. Energy, 2010, 35(4): 1561-1567.
[10]梁甜甜,王磊,高赐威. 基于用户响应的尖峰电价模型研究[J].华东电力,2013,41(1):42-46.
[11]周永灿,李扬.考虑需求侧响应的尖峰电价实施效益的分析[J].电力需求侧管理,2009,11(2): 12-14.
[12]崔强,王秀丽,曾平良,等.调峰约束下考虑风电消纳的多目标尖峰电价决策模型[J].中国电机工程学报,2015,35(11):2662-2669.
[13]AGHAEI J,ALIZADEH M I.Critical peak pricing with load control demand response program in unit commitment problem[J].IET Generation,Transmission & Distribution,2013,7(7):681-690.
[14]张晓花,谢俊,朱正伟,等. 考虑不确定性的智能电网多目标机组组合研究[J]. 太阳能学报, 2016, 37(12): 3055-3062.
[15]ONGSAKUL W, PETCHARAKS N. Unit commitment by enhanced adaptive Lagrangian relaxation[J]. IEEE Transactions on Power Systems, 2004, 19(1): 620-628.

相似文献/References:

[1]张晓花,朱陈松,朱正伟,等.基于多代理技术的多能源节能减排机组组合[J].常州大学学报(自然科学版),2017,(04):39.[doi:10.3969/j.issn.2095-0411.2017.04.007]
 ZHANG Xiaohua,ZHU Chensong,ZHU Zhengwei,et al.Unit Commitment Considering Energy Saving and Emission Reduction Based on Multi-Agent Technology[J].Journal of Changzhou University(Natural Science Edition),2017,(04):39.[doi:10.3969/j.issn.2095-0411.2017.04.007]

备注/Memo

备注/Memo:
收稿日期:2018-12-06。
基金项目:江苏省社会科学基金项目(18GLB016); 江苏省科技支撑计划(工业)重点项目(BE-2013005-3)。
作者简介:张晓花(1981—),女,山西五台人,博士,讲师。E-mail: xhzhangcz@cczu.edu.cn
更新日期/Last Update: 2019-07-16