[1] 国家发展和改革委员会能源研究所. 中国2050高比例可再生能源发展情景暨路径研究[R]. 北京: 国家发展和改革委员会能源研究所, 2015. [2] 刘雨濛, 顾雪平, 王涛. 考虑静态安全距离的含风电电网安全优化调度[J]. 电力系统保护与控制, 2021, 49(15): 93–99 LIU Yumeng, GU Xueping, WANG Tao. Optimal dispatching model for a wind farm integrated grid considering steady-state security distance[J]. Power System Protection and Control, 2021, 49(15): 93–99 [3] 刘海南, 蔺红, 樊国旗, 等. 基于风荷耦合特性的源荷储的优化调度[J]. 智慧电力, 2021, 49(1): 42–47 LIU Hainan, LIN Hong, FAN Guoqi, et al. Optimal scheduling of source-load-storage based on wind-load coupling characteristics[J]. Smart Power, 2021, 49(1): 42–47 [4] 谢敏, 罗文豪, 吉祥, 等. 随机风电接入的电力系统动态经济调度多场景协同优化[J]. 电力自动化设备, 2019, 39(11): 27–33 XIE Min, LUO Wenhao, JI Xiang, et al. Multi-scenario collaborative optimization for dynamic economic dispatch of power system with stochastic wind power integration[J]. Electric Power Automation Equipment, 2019, 39(11): 27–33 [5] LILLIESTAM J, BARRADI T, CALDÉS N, et al. Policies to keep and expand the option of concentrating solar power for dispatchable renewable electricity[J]. Energy Policy, 2018, 116: 193–197. [6] XU T, ZHANG N. Coordinated operation of concentrated solar power and wind resources for the provision of energy and reserve services[J]. IEEE Transactions on Power Systems, 2017, 32(2): 1260–1271. [7] 崔杨, 杨志文, 张节潭, 等. 计及综合成本的风电–光伏–光热联合出力调度策略[J]. 高电压技术, 2019, 45(1): 269–275 CUI Yang, YANG Zhiwen, ZHANG Jietan, et al. Scheduling strategy of wind power-photovoltaic power-concentrating solar power considering comprehensive costs[J]. High Voltage Technology, 2019, 45(1): 269–275 [8] 宋汶秦, 吕金历, 赵玲霞, 等. 光热-风电联合运行的电力系统经济调度策略研究[J]. 电力系统保护与控制, 2020, 48(5): 95–102 SONG Wenqin, LÜ Jinli, ZHAO Lingxia, et al. Study on the economic dispatch strategy of power system with combined operation of concentrated solar power and wind farm[J]. Power System Protection and Control, 2020, 48(5): 95–102 [9] 陈润泽, 孙宏斌, 李正烁, 等. 含储热光热电站的电网调度模型与并网效益分析[J]. 电力系统自动化, 2014, 38(19): 1–7 CHEN Runze, SUN Hongbin, LI Zhengshuo, et al. Grid dispatch model and interconnection benefit analysis of concentrating solar power plants with thermal storage[J]. Automation of Electric Power Systems, 2014, 38(19): 1–7 [10] 贠韫韵, 董海鹰, 陈钊, 等. 考虑随机性及光热电站参与的多源发电系统两阶段随机优化调度[J]. 电力系统保护与控制, 2020, 48(4): 30–38 YUN Yunyun, DONG Haiying, CHEN Zhao, et al. A two-stage stochastic scheduling optimization for multi-source power system considering randomness and concentrating solar power plant participation[J]. Power System Protection and Control, 2020, 48(4): 30–38 [11] 崔杨, 张汇泉, 仲悟之, 等. 计及价格型需求响应及CSP电站参与的风电消纳日前调度[J]. 电网技术, 2020, 44(1): 183–191 CUI Yang, ZHANG Huiquan, ZHONG Wuzhi, et al. Day-ahead scheduling considering participation of price-based demand response and CSP plant in wind power accommodation[J]. Power System Technology, 2020, 44(1): 183–191 [12] 崔杨, 张汇泉, 仲悟之, 等. 考虑需求响应的含光热电站可再生能源高渗透率电力系统多源优化调度[J]. 高电压技术, 2020, 46(5): 1486–1496 CUI Yang, ZHANG Huiquan, ZHONG Wuzhi, et al. Multi-source optimal scheduling of renewable energy high-permeability power system with CSP plants considering demand response[J]. High Voltage Technology, 2020, 46(5): 1486–1496 [13] 王海冰, 王承民, 张庚午, 等. 考虑条件风险价值的两阶段发电调度随机规划模型和方法[J]. 中国电机工程学报, 2016, 36(24): 6838–6848, 6939 WANG Haibing, WANG Chengmin, ZHANG Gengwu, et al. Two-stage stochastic generation dispatching model and method considering conditional value-at-risk[J]. Proceedings of the CSEE, 2016, 36(24): 6838–6848, 6939 [14] 刘怀东, 冯志强, 王锦桥, 等. 计及条件风险价值的综合能源系统经济调度[J]. 电网技术, 2018, 42(5): 1385–1392 LIU Huaidong, FENG Zhiqiang, WANG Jinqiao, et al. Economic dispatch of integrated energy systems considering conditional value-at-risk[J]. Power System Technology, 2018, 42(5): 1385–1392 [15] 沙韵, 周明, 杨宏基, 等. 考虑光热电站和直流联络线灵活性的高比例新能源互联系统优化运行[J]. 电网技术, 2020, 44(9): 3306–3313 SHA Yun, ZHOU Ming, YANG Hongji, et al. Interconnected power system optimal operation with renewable generation considering flexibility of concentrating solar power plants & HVDC tie-line[J]. Power System Technology, 2020, 44(9): 3306–3313 [16] 吴玉庭, 张晓明, 王慧富, 等. 基于弃风弃光或低谷电加热的熔盐蓄热供热技术及其评价[J]. 中外能源, 2017, 22(2): 93–99 WU Yuting, ZHANG Xiaoming, WANG Huifu, et al. Molten salt heat storage and supply technology based on heating using abandoned wind power, PV power or off-peak power[J]. Sino-Global Energy, 2017, 22(2): 93–99 [17] 易明月, 童晓阳. 考虑风荷预测误差不确定性的动态经济调度[J]. 电网技术, 2019, 43(11): 4050–4057 YI Mingyue, TONG Xiaoyang. Dynamic economic dispatch considering uncertainties of wind power and load forecast error[J]. Power System Technology, 2019, 43(11): 4050–4057 [18] 彭春华, 于蓉, 孙惠娟. 基于K-均值聚类多场景时序特性分析的分布式电源多目标规划[J]. 电力自动化设备, 2015, 35(10): 58–65 PENG Chunhua, YU Rong, SUN Huijuan. Multi-objective DG planning based on K-means clustering and multi-scenario timing characteristics analysis[J]. Electric Power Automation Equipment, 2015, 35(10): 58–65 [19] ROCKAFELLAR R T, URYASEV S. Conditional value-at-risk for general loss distributions[J]. Journal of Banking and Finance, 2002, 26(7): 1443–1471. [20] 车泉辉, 娄素华, 吴耀武, 等. 计及条件风险价值的含储热光热电站与风电电力系统经济调度[J]. 电工技术学报, 2019, 34(10): 2047–2055 CHE Quanhui, LOU Suhua, WU Yaowu, et al. Economic dispatching for power system of concentrated solar power plant with thermal energy storage and wind power considering conditional value-at-risk[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2047–2055 [21] MIRJALILI S, LEWIS A. The whale optimization algorithm[J]. Advances in Engineering Software, 2016, 95: 51–67. [22] 武泽权, 牟永敏. 一种改进的鲸鱼优化算法[J]. 计算机应用研究, 2020, 37(12): 3618–3621 WU Zequan, MOU Yongmin. Improved whale optimization algorithm[J]. Application Research of Computers, 2020, 37(12): 3618–3621 [23] 傅润炜, 姜磊, 孙惠娟. 基于并行分子微分进化的综合能源系统优化调度[J]. 华东交通大学学报, 2019, 36(6): 125–133 FU Runwei, JIANG Lei, SUN Huijuan. Optimization scheduling of integrated energy system based on parallel molecular differential evolution algorithm[J]. Journal of East China Jiaotong University, 2019, 36(6): 125–133 [24] 马豫超, 侯志俭, 蒋传文, 等. 基于粒子群算法求解电力市场发电商最优供给函数模型[J]. 电力系统自动化, 2006, 30(2): 45–50 MA Yuchao, HOU Zhijian, JIANG Chuanwen, et al. PSO algorithm based optimal supply function model for power producer[J]. Automation of Electric Power Systems, 2006, 30(2): 45–50 [25] 彭春华, 姜磊, 刘君, 等. 采用极限学习机预测优化的超高压输电线畸变电场屏蔽[J]. 电网技术, 2017, 41(11): 3655–3662 PENG Chunhua, JIANG Lei, LIU Jun, et al. Distorted electric field shielding of EHV transmission line based on extreme learning machine prediction optimization model[J]. Power System Technology, 2017, 41(11): 3655–3662
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