该文以太阳能资源丰富的陕北典型农村为例开展调研,在家庭分组的基础上利用蒙特卡洛聚合生成社区可平移负荷曲线,并提出时间、能耗、随机度的三维指标进行可平移负荷综合评价分析。研究结果表明,农村炊事用电负荷体量较大但可平移潜力有限,洗衣用电负荷可平移性较好但体量较小。生活热水负荷的各项可平移指标较为均衡,在水箱蓄热特性加持下,可平移潜力尤为突出。
Abstract
In this paper, a typical rural area in northern Shaanxi province was investigated, Monte Carlo simulation was used to generate aggregated shiftable load curves on the basis of family clustering, and a comprehensive evaluation from the perspectives of time, energy, and randomness was given. The results show that the volume of cooking load is large but the time range to be shifted is small, while the volume of laundry load is small but the time range to be shifted was large. Overall, domestic hot water load is more comprehensive in the above three aspects, the heat storage properties of water tank makes the shiftable load potential more significant.
关键词
太阳能 /
需求侧管理 /
蒙特卡洛模拟 /
K-均值聚类 /
可平移负荷 /
分组聚合 /
特性评价
Key words
solar energy /
demand-side management /
Monte Carlo simulation /
K-means clustering /
shiftable load /
grouping aggreation /
characteristic evaluation
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] ZHU L, LIAO H, HOU B D, et al.The status of household heating in northern China: a field survey in towns and villages[J]. Environmental science and pollution research, 2020, 27(14): 16145-16158.
[2] THEBAULT M, GAILLARD L.Optimization of the integration of photovoltaic systems on buildings for self-consumption-case study in France[J]. City and Environment Interactions, 2021, 10: 100057.
[3] ROTH L, YILDIZ Ö, LOWITZSCH J.An empirical approach to differences in flexible electricity consumption behaviour of urban and rural populations-lessons learned in Germany[J]. Sustainability, 2021, 13(16): 9028.
[4] NAN S B, ZHOU M, LI G Y.Optimal residential community demand response scheduling in smart grid[J]. Applied energy, 2018, 210: 1280-1289.
[5] GUPTA P, VERMA Y P.Optimization of deviation settlement charges using residential demand response under frequency linked pricing environment[J]. IET generation, transmission and distribution, 2019, 13(12): 2362-2371.
[6] 赫卫国, 夏俊荣, 刘志明, 等. 考虑用户缴费满意度与用电舒适度的用电优化策略[J]. 电力需求侧管理, 2020, 22(1): 69-74.
HE W G, XIA J R, LIU Z M, et al.Power optimal strategy considering user-charging satisfaction and user comfort[J]. Power demand side management, 2020, 22(1): 69-74.
[7] 杨秀, 傅广努, 刘方, 等. 考虑多重因素的空调负荷聚合响应潜力评估及控制策略研究[J]. 电网技术, 2022, 46(2): 699-714.
YANG X, FU G N, LIU F, et al.Potential evaluation and control strategy of air conditioning load aggregation response considering multiple factors[J]. Power system technology, 2022, 46(2): 699-714.
[8] 王珂, 姚建国, 姚良忠, 等. 电力柔性负荷调度研究综述[J]. 电力系统自动化, 2014, 38(20): 127-135.
WANG K, YAO J G, YAO L Z, et al.Survey of research on flexible loads scheduling technologies[J]. Automation of electric power systems, 2014, 38(20): 127-135.
[9] YIN R X, KARA E C, LI Y P, et al.Quantifying flexibility of commercial and residential loads for demand response using setpoint changes[J]. Applied energy, 2016, 177: 149-164.
[10] VELLEI M, LE DRÉAU J, ABDELOUADOUD S Y. Predicting the demand flexibility of wet appliances at national level: the case of France[J]. Energy and buildings, 2020, 214: 109900.
[11] D’HULST R, LABEEUW W, BEUSEN B, et al. Demand response flexibility and flexibility potential of residential smart appliances: experiences from large pilot test in Belgium[J]. Applied energy, 2015, 150: 79-90.
[12] LIU Y F, WANG P, LUO X, et al.Analysis of flexible energy use behavior of rural residents based on two-stage questionnaire: a case study in Xi’an, China[J]. Energy and buildings, 2022, 269: 112246.
[13] AL WAKEEL A, WU J, JENKINS N. k-means based load estimation of domestic smart meter Measurements[J]. Applied energy, 2017, 194: 333-342.
[14] 严强, 李扬, 樊友杰, 等. 基于加权表决集成聚类的居民用电行为回归分析[J]. 电网技术, 2021, 45(11): 4435-4446.
YAN Q, LI Y, FAN Y J, et al.Regression analysis of residential electricity consumption behavior based on weighted voting ensemble clustering[J]. Power system technology, 2021, 45(11): 4435-4446.
[15] 刘蓉晖, 李子林, 杨秀等. 考虑用户侧柔性负荷的社区综合能源系统日前优化调度[J]. 太阳能学报, 2019, 40(10): 2842-2850.
LIU R H, LI Z L, YANG X, et al.Optimal dispatch of community integrated energy system considering user-side flexible load[J]. Acta energiae solaris sinica, 2019, 40(10): 2842-2850.
基金
国家自然科学基金(52008328; 82378109)