[1] SHANG-GUAN X, HE Y, ZHANG C, et al. Sampled-data based discrete and fast load frequency control for power systems with wind power[J]. Applied Energy, 2020, 259:114202. [2] 董存, 梁志峰, 礼晓飞, 等. 跨区特高压直流外送优化提升新能源消纳能力研究[J]. 中国电力, 2019, 52(4): 41-50 DONG Cun, LIANG Zhifeng, LI Xiaofei, et al. Study on power optimization of the trans-regional UHVDC delivery channels in promoting renewable energy accommodation capacity[J]. Electric Power, 2019, 52(4): 41-50 [3] 王艺博, 蔡国伟, 郑存龙, 等. 考虑合理弃风的风电消纳方法研究[J]. 电测与仪表, 2016, 53(11): 45-50 WANG Yibo, CAI Guowei, ZHENG Cunlong, et al. Study on wind power consumption method considering reasonable wind abandonment[J]. Electrical Measurement & Instrumentation, 2016, 53(11): 45-50 [4] 王莉丽, 戚永志, 黄越辉, 等. 电力系统弃风指标和弃风序列建模研究[J]. 中国电力, 2019, 52(4): 178-184 WANG Lili, QI Yongzhi, HUANG Yuehui, et al. Study on modeling of wind abandonment index and wind abandonment sequence in power system[J]. Electric Power, 2019, 52(4): 178-184 [5] GUO P, WEN J, ZHU D, et al. The coordination control strategy for large-scale wind power consumption based on source-load interactive[J]. Transactions of China Electrotechnical Society, 2017. [6] 桑丙玉,姚良忠,李明杨,等.基于二阶锥规划的含大规模风电接入的直流电网储能配置[J].电力系统保护与控制,2020,48(5):86-94. SANG Bingyu, YAO Liangzhong, LI Mingyang, et al.Research on energy storage system planning of DC grid with large-scale wind power integration[J]. Power System Protection and Control, 2020, 48(5):86-94. [7] WAITE M, MODI V. Modeling wind power curtailment with increased capacity in a regional electricity grid supplying a dense urban demand[J]. Applied Energy, 2016, 183: 299-317. [8] 孙勇,魏敏,王磊,等.基于系统调峰约束的电网风电消纳水平研究[J].电力系统保护与控制,2019,47(19):107-112. SUN Yong, WEI Min, WANG Lei,et al.Study on wind power consumption based on system peak regulation capability constrain[J]. Power System Protection and Control, 2019, 47(19):107-112. [9] MARTIN-MARTINEZ S, LAZZRO E G, ESCRIBANO A H, et al. Wind power curtailment analysis under generation flexibility requirements: the Spanish case study[C]// IEEE Power & Energy Society General Meeting. 2015. [10] 李虹,刘瑞叶,高挺.考虑风电消纳的电动汽车有序充电策略研究[J].电力科学与技术学报,2017,32(1):16-22. LI Hong, LIU Ruiye, GAO Ting. Research on coordinated charging strategy of electric vehicles considering wind power accommodation[J]. Journal of Electric Power Science and Technology, 2017, 32(1):16-22. [11] 许晓超. 利用供暖实现消纳风电的技术方案研究[D]. 北京: 华北电力大学, 2016. XU Xiaochao. Research on accommodating wind power using heating[D]. Beijing: North China Electric Power University, 2016. [12] LEI Z, YI L. Combined heat and power scheduling: utilizing building-level thermal inertia for short-term thermal energy storage in district heat system: combined heat and power scheduling[J]. IEEE Transactions on Electrical & Electronic Engineering, 2018, 13(5). [13] 许彦平, 王跃峰, 唐林, 等. 弃风供暖模式下风电接纳能力评估及效益分析[J]. 中国电力, 2017, 50(2): 139-143+149 XU Yanping, WANG Yuefeng, TANG Lin, et al. Assessment and benefit analysis of wind power capacity under the mode of heating by abandoned wind[J]. Electric Power, 2017, 50(2): 139-143+149 [14] 顾泽鹏, 康重庆, 陈新宇, 等. 考虑热网约束的电热能源集成系统运行优化及其风电消纳效益分析[J]. 中国电机工程学报, 2015, 35(14): 3596-3604 GU Zepeng, KANG Chongqing, CHEN Xinyu, et al. Operation optimization and wind power consumption benefit analysis of electric heating energy integrated system considering heat supply network constraints[J]. Proceedings of the CSEE, 2015, 35(14): 3596-3604 [15] HUGHES L. Meeting residential space heating demand with wind-generated electricity[J]. Renewable Energy, 2010, 35(8): 1765-1772. [16] HASHEMI S, OSTERGAARD J, YANG G. A scenario-based approach for energy storage capacity determination in LV grids with high PV penetration[J]. IEEE Transactions on Smart Grid, 2017, 5(3): 1514-1522. [17] 黄强, 张刘冬, 陈兵. 基于卷积的风速和负荷相关性分类处理的概率潮流计算[J]. 电测与仪表, 2018, 55(22): 25-32 HUANG Qiang, ZHANG Liudong, CHEN Bing. Probabilistic power flow calculation of wind speed and load correlation classification based on convolution[J]. Electrical Measurement & Instrumentation, 2018, 55(22): 25-32 [18] 欧阳庭辉, 查晓明, 秦亮, 等. 中长期风电功率的多气象变量模型组合预测方法[J]. 电网技术, 2016, 40(3): 847-852 OUYANG Tinghui, CHA Xiaoming, QIN Liang, et al. Combined forecasting method of multi meteorological variable model for medium and long term wind power[J]. Power System Technology[15], 2016, 40(3): 847-852 [19] 文凡, 刘军, 牛东晓, 等. 低碳背景下的省域一次能源供给情景预测: 以浙江省为例[J]. 中国电力, 2020, 53(2): 20-28+163 WEN Fan, LIU Jun, NIU Dongxiao, et al. Scenario prediction of provincial primary energy supply in the context of low carbon: a case study of Zhejiang Province[J]. Electric Power, 2020, 53(2): 20-28+163 [20] 黄培东, 詹红霞, 彭光斌, 等. 促进风电消纳的需求响应与储热CHP联合优化模型[J]. 电测与仪表, 2017, 54(14): 1-6 HUANG Peidong, ZHAN Hongxia, PENG Guangbin, et al. Joint optimization model of demand response and heat storage CHP to promote wind power consumption[J]. Electrical Measurement & Instrumentation, 2017, 54(14): 1-6 [21] 陈凯. 供热机组出力特性与电热优化分配研究[D]. 北京: 华北电力大学, 2017. CHEN Kai. Research on output characteristics and optimal electric distribution of heat supply unit[D]. Beijing: North China Electric Power University, 2017. [22] 陈强. 低温差热回收蓄热换热器传热过程研究[D]. 广州: 华南理工大学, 2018. CHEN Qiang. Research on heat transfer process of low temperature differential heat recovery heat storage heat exchanger[D]. Guangzhou: South China University of Technology, 2018. [23] 任燕, 陈伟. 对带有盒约束的二次整数规划的一种线性化方法[J]. 运筹学学报, 2010, 14(1): 66-76 REN Yan, CHEN Wei. A linearization method for quadratic integer programming with box constraints[J]. Operations Research Transactions, 2010, 14(1): 66-76
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