Day-Ahead Optimal Dispatching of Heating System When Electrode Boiler Participating in Frequency Regulation Service

doi:10.3969/j.issn.1000-7229.2020.01.001

Abstract

Abstract: In order to improve the efficiency and investment benefits of the electrothermal integrated energy system, an optimal dispatching method for heating system under the frequency modulation service with the participation of electrode boilers is proposed, which takes advantage of the flexible regulation and fast response of the electrode boilers. Firstly, the frequency regulation modes of power system are introduced and a method for calculating the benefits of frequency regulation under PJM ancillary service compensation mechanism of frequency regulation market is proposed. And on the basis of the heat demand response, the operation mechanism of the electrode boiler is established, and the day-ahead prediction method for the ability of the heat demand response is proposed. Then, a day-ahead optimal dispatching method aiming at maximizing the total benefits of heating and frequency regulation for operators is established. Finally, an example is given to verify the effectiveness of the model. The results show that the participation of electrode boiler in frequency modulation can improve operators' benefits, which is of great significance to promote the development of electrothermal integrated energy system.

Key words: frequency-regulation auxiliary service, demand-side response, electrothermal integrated energy, electrode boiler, optimized dispatching, frequency regulation mode

CLC Number:

TM 73

LIU Minghua, LIU Wenxia, LIU Chenmiao, LIU Zongqi, LI Shouqiang, ZHANG He, YAN Hao, PU Zheyong. Day-Ahead Optimal Dispatching of Heating System When Electrode Boiler Participating in Frequency Regulation Service[J]. Electric Power Construction, 2020, 41(1): 1-2.

References

［1］中华人民共和国国家能源局：北方地区冬季清洁取暖规划（2017-2021年）的通知［EB/OL］. (2017-12-05)［2019-08-31］.http://www.nea.gov.cn/2017-12/27/c_136854721.htm.
［2］王怡岚, 童亦斌, 黄梅, 等. 基于需求侧响应的空调负荷虚拟储能模型研究［J］. 电网技术, 2017, 41(2): 394-401.
WANG Yilan, TONG Yibin, HUANG Mei, et al. Research on virtual energy storage model of air conditioning loads based on demand response［J］. Power System Technology, 2017, 41(2): 394-401.
［3］黄亚峰, 朱玉杰, 穆钢, 等. 基于温度预报的户用电采暖负荷可调节能力评估［J］. 电网技术, 2018, 42(8): 2487-2493.
HUANG Yafeng, ZHU Yujie, MU Gang, et al. Evaluation of adjustable capacity of household electrical heating load based on temperature forecast［J］. Power System Technology, 2018, 42(8): 2487-2493.
［4］陈大宇, 张粒子. 美国电力需求侧调频实践及其对我国的启示［J］. 现代电力, 2015, 32(5): 21-26.
CHEN Dayu, ZHANG Lizi. Frequency regulation practice at demand side in USA and its enlightenment to China［J］. Modern Electric Power, 2015, 32(5): 21-26.
［5］王剑晓, 钟海旺, 夏清, 等. 基于成本-效益分析的温控负荷需求响应模型与方法［J］.电力系统自动化,2016,40(5):45-53.
WANG Jianxiao, ZHONG Haiwang, XIA Qing, et al. Model and method of demand response for thermostatically-controlled loads based on cost-benefit analysis［J］.Automation of Electric Power Systems, 2016, 40(5):45-53.
［6］高赐威, 李倩玉, 李扬. 基于DLC的空调负荷双层优化调度和控制策略［J］. 中国电机工程学报, 2014, 34(10): 1546-1555.
GAO Ciwei, LI Qianyu, LI Yang. Bi-level optimal dispatch and control strategy for air-conditioning load based on direct load control［J］. Proceedings of the CSEE, 2014, 34(10): 1546-1555.
［7］谢敏, 韦薇, 李建钊, 等. 储能电站参与能量-调频市场联合调度模式研究［J］. 电力建设, 2019, 40(2): 20-28.
XIE Min, WEI Wei, LI Jianzhao, et al. Research on combined dispatching mode of energy storage in energy market and regulation market［J］. Electric Power Construction, 2019, 40(2): 20-28.
［8］EYER J M, Corey G P. Energy storage for the electricity grid: benefits and market potential assessment guide: A study for the DOE energy storage systems program［J］. Geburtshilfe Und Frauenheilkunde, 2010, 45(5):322-325.
［9］孙冰莹, 杨水丽, 刘宗歧, 等. 国内外兆瓦级储能调频示范应用现状分析与启示［J］. 电力系统自动化, 2017, 41(11): 8-16, 38.
SUN Bingying, YANG Shuili, LIU Zongqi, et al. Analysis on present application of megawatt-scale energy storage in frequency regulation and its enlightenment［J］. Automation of Electric Power Systems, 2017, 41(11): 8-16, 38.
［10］康重庆, 陈辉, 赵宇明, 等. 以高压电极式电锅炉为核心的高性能分布式电热能源系统［J］. 南方电网技术, 2017, 11(10): 35-44.
KANG Chongqing, CHEN Hui, ZHAO Yuming, et al. High performance distributed electro-thermic energy system centered on the high voltage electrode electric boiler［J］. Southern Power System Technology, 2017, 11(10): 35-44.
［11］马恒瑞, 王波, 高文忠, 等. 考虑调频补偿效果的区域综合能源系统调频服务优化策略［J］. 电力系统自动化, 2018, 42(13): 127-135.
MA Hengrui, WANG Bo, GAO Wenzhong, et al. Optimization strategy for frequency regulation service of regional integrated energy systems considering compensation effect of frequency regulation［J］. Automation of Electric Power Systems, 2018, 42(13): 127-135.
［12］陈达鹏, 荆朝霞. 美国调频辅助服务市场的调频补偿机制分析［J］. 电力系统自动化, 2017，42(12)：1-10.
CHEN Dapeng, JING Zhaoxia. Analysis of frequency modulation compensation mechanism in frequency modulation analysis service market of the united states［J］. Automation of Electric Power Systems, 2017，42(12)：1-10.
［13］Day-ahead and real-time market operations PJM 2019. PJM Manual 11: Energy & Ancillary Services Market Operations Revision: 104［R］. U.S.A.PJM.2019.
［14］高长亚. 集中供热分户计量温控一体化实施方法研究与应用［D］. 济南: 山东大学, 2016.
GAO Changya. Research of integration method of householdheat metering and room temperature adjusting in central heating［D］. Ji′nan: Shandong University, 2016.
［15］郭丰慧, 胡林献, 周升彧. 基于二级热网储热式电锅炉调峰的弃风消纳调度模型［J］. 电力系统自动化, 2018, 42(19): 50-59.
GUO Fenghui, HU Linxian, ZHOU Shengyu. Dispatching model of wind power accommodation based on heat storage electric boiler for peak-load regulation in secondary heat supply network［J］. Automation of Electric Power Systems, 2018, 42(19): 50-59.