孙毅;黄绍模;李泽坤;李彬;牟明亮;张旭东;李飞;

• 1:华北电力大学电气与电子工程学院
• 2:国网河北省电力有限公司

摘要(Abstract)：

随着大规模具备不确定性的分布式新能源接入,利用需求侧柔性负荷消纳分布式新能源是有效技术手段。针对大量温控负荷消纳新能源电量后闲置、长时段不使用的现象,文章通过对电热水器、中央空调等典型温控负荷时域使用行为的精准分析,利用具备使用行为的温控负荷对新能源实施消纳,提出了一种考虑时域特性异构温控负荷联合调控策略。首先,基于贝叶斯网络对电热水器、中央空调的时域使用行为进行预测,建立时域行为概率模型;基于此,提出了面向新能源消纳的中央空调与电热水器联合调控策略,与传统温控负荷状态序列调控策略对比,所提策略在对新能源曲线进行有效消纳的基础上,能够充分与负荷使用时段相匹配,避免了大量温控负荷在消纳新能源电量后的闲置现象,减少了温控负荷闲置时的自然散热损失,提高了能源的用能效率。

关键词(KeyWords)： 时域特性;异构负荷;联合调控;新能源消纳

Abstract:

Keywords:

基金项目(Foundation): 国家电网有限公司科技项目“低压用户负荷感知、测量和调控关键技术研究及应用”(SGHEDK00DYJS2000044)~~

作者(Author): 孙毅;黄绍模;李泽坤;李彬;牟明亮;张旭东;李飞;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.2625

参考文献(References)：

• [1]Safdarian A,Fotuhi-Firuzabad M,Aminifar F.Wind and solar energies from the power system adequacy viewpoint[J].IEEETransactions on Power Systems,2012,27(4):2368-2376．
• [2]Bistline J E.Economic and technical challenges of flexible operations under large-scale variable renewable deployment[J].Energy Economics,DOI:10.1016/j.eneco.2017.04.012．
• [3]陈国平，李明节，许涛，等．关于新能源发展的技术瓶颈研究[J]．中国电机工程学报，2017,37(1):20-27.Chen Guoping,Li Mingjie,Xu Tao,et al.Study on technical bottleneck of new energy development[J].Proceedings of the CSEE,2017,37(1):20-27(in Chinese)．
• [4]Teamah H M,Lightstone M F.Numerical study of the electrical load shift capability of a ground source heat pump system with phase change thermal storage[J].Energy and Buildings,2019,199:235-246．
• [5]孙毅，李泽坤，黄绍模，等．基于分布式需求侧资源备调池的低频减载优化策略研究[J]．电网技术，2020,44(3):1016-1025.Sun Yi,Li Zekun,Huang Shaomo,et al.An improved UFLS strategy based on distributed demand side resource pools[J].Power System Technology,2020,44(3):1016-1025(in Chinese)．
• [6]祁兵，曾璐琨，叶秋子，等．面向新能源消纳的需求侧聚合负荷协同控制[J]．电网技术，2019,43(1):324-331.Qi Bing,Zeng Lukun,Ye Qiuzi,et al.Cooperative control of aggregated loads at demand side for accommodating new energy[J].Power System Technology,2019,43(1):324-331(in Chinese)．
• [7]戚野白，王丹，贾宏杰，等．基于需求响应的集群温控负荷建模及参与低频减载策略研究[J]．中国电机工程学报，2017,37(3):751-760.Qi Yebai,Wang Dan,Jia Hongjie,et al.Modeling of cluster temperature control load based on demand response and research on participation in low frequency load reduction strategy[J].Proceedings of the CSEE,2017,37(3):751-760(in Chinese)．
• [8]卫文婷，王丹，贾宏杰，等．一种基于模型预测的城市园区分层分布式温控负荷需求响应控制策略[J]．中国电机工程学报，2016,36(8):2049-2056.Wei Wenting,Wang Dan,Jia Hongjie,et al.A hierarchical and distributed control strategy of thermostatically controlled appliances for city park based on load model prediction[J].Proceedings of the CSEE,2016,36(8):2049-2056(in Chinese)．
• [9]艾欣，赵阅群，周树鹏．空调负荷直接负荷控制虚拟储能特性研究[J]．中国电机工程学报，2016,36(6):1596-1603.Ai Xin,Zhao Yuequn,Zhou Shupeng.Study on virtual energy storage features of air conditioning load direct load control[J].Proceedings of the CSEE,2016,36(6):1596-1603(in Chinese)．
• [10]高赐威，张良杰，杨晓梅．中央空调负荷聚合及平抑风电出力波动研究[J]．中国电机工程学报，2017,37(11):3184-3191,3373.Gao Ciwei,Zhang Liangjie,Yang Xiaomei.Research on load aggregation of central air conditioning and its participation in the operation of power system[J].Proceedings of the CSEE,2017,37(11):3184-3191,3373(in Chinese)．
• [11]张华一，文福拴，张璨，等．计及舒适度的家庭能源中心运行优化模型[J]．电力系统自动化，2016,40(20):32-39.Zhang Huayi,Wen Fushuan,Zhang Can,et al.Operation optimization model of home energy hubs considering comfort level of customers[J].Automation of Electric Power Systems,2016,40(20):32-39(in Chinese)．
• [12]雷敏，魏务卿，曾进辉，等．考虑需求响应的负荷控制对供电可靠性影响分析[J]．电力系统自动化，2018,42(10):53-59.Lei Min,Wei Wuqing,Zeng Jinhui,et al.Effect of load control on power supply reliability considering demand response[J].Automation of Electric Power Systems,2018,42(10):53-59(in Chinese)．
• [13]许鹏，孙毅，杨万清，等．计及离散控制偏差的典型温控负荷态势感知及调控策略[J]．中国电机工程学报，2018,38(21):6205-6213,6482.Xu Peng,Sun Yi,Yang Wanqing,et al.Awareness and control strategy for TCLs considering discrete control deviation[J].Proceedings of the CSEE,2018,38(21):6205-6213,6482(in Chinese)．
• [14]朱宇超，王建学，曹晓宇．中央空调负荷直接控制策略及其可调度潜力评估[J]．电力自动化设备，2018,38(5):227-234.Zhu Yuchao,Wang Jianxue,Cao Xiaoyu.Direct control strategy of central air conditioning load and its schedulable potential evaluation[J].Electric Power Automation Equipment,2018,38(5):227-234(in Chinese)．
• [15]程乐峰，余涛．开放电力市场环境下多群体非对称演化博弈的均衡稳定性典型场景分析[J]．中国电机工程学报，2018,38(19):5687-5703,5926.Cheng Lefeng,Yu Tao.Typical scenario analysis of equilibrium stability of multi-group asymmetric evolutionary games in the open and ever-growing electricity market[J].Proceedings of the CSEE,2018,38(19):5687-5703,5926(in Chinese)．
• [16]郑晨玲，朱革兰．基于贝叶斯估计的配电网智能分布式故障区段定位算法[J]．电网技术，2020,44(4):1561-1567.Zheng Chenling,Zhu Gelan.Distribution network fault segment location algorithm based on bayesian estimation in intelligent distributed control mode[J].Power System Technology,2020,44(4):1561-1567(in Chinese)．
• [17]蒋玮，黄丽丽，祁晖，等．基于分布式图计算的台区负荷预测技术研究[J]．中国电机工程学报，2018,38(12):3419-3430.Jiang Wei,Huang Lili,Qi Hui,et al.Research on load forecasting technology of transformer areas based on distributed graph computing[J].Proceedings of the CSEE,2018,38(12):3419-3430(in Chinese)．
• [18]Zheng Shubin,Zhong Qianwen,Peng Lele,et al.A simple method of residential electricity load forecasting by improved Bayesian neural networks[J].Mathematical Problems in Engineering:Theory,Methods and Applications,DOI:10.1155/2018/4276176．
• [19]王珊珊，郝斌，陈希琳，等．居民生活热水需求与用能方式调查研究[J]．给水排水，2015,51(11):73-77.Wang Shanshan,Hao Bin,Chen Xilin,et al.Investigation and research on residents’demand for domestic hot water and energy consumption[J].Water&Wastewater Engineering,2015,51(11):73-77(in Chinese)．
• [20]周自江，艾(子兑)秀，张洪政，等．沙尘暴常规观测资料中若干问题的解析[J]．应用气象学报，2004(S1):60-67.Zhou Zijiang,Ai Wanxiu,Zhang Hongzheng,et al.Analysis on several problems in conventional observation data of dust storms[J].Journal of Applied Meteorological Science,2004(S1):60-67(in Chinese)．
• [21]孙毅，李泽坤，许鹏，等．异构柔性负荷建模调控关键技术及发展方向研究[J]．中国电机工程学报，2019,39(24):7146-7158,7488.Sun Yi,Li Zekun,Xu Peng,et al.Research on key technologies and development direction of heterogeneous flexible load modeling and regulation[J].Proceedings of the CSEE,2019,39(24):7146-7158,7488(in Chinese)．
• [22]涂京，周明，宋旭帆，等．居民用户参与电网调峰激励机制及优化用电策略研究[J]．电网技术，2019,43(2):443-453.Tu Jing,Zhou Ming,Song Xufan,et al.Research on incentive mechanism of resident user participation in power grid peak regulation and optimal power consumption strategy[J].Power System Technology,2019,43(2):443-453(in Chinese)．
• [23]戚野白，王丹，贾宏杰，等．基于归一化温度延伸裕度控制策略的温控设备需求响应方法研究[J]．中国电机工程学报，2015,35(21):5455-5464.Qi Yebai,Wang Dan,Jia Hongjie,et al.Research on demand response for thermostatically controlled appliances based on normalized temperature extension margin control strategy[J].Proceedings of the CSEE,2015,35 (21):5455-5464(in Chinese).