促进新能源消纳的混合发电系统

doi:10.11930/j.issn.1004-9649.202105111

中国电力 ›› 2022, Vol. 55 ›› Issue (2): 145-151.DOI: 10.11930/j.issn.1004-9649.202105111

促进新能源消纳的混合发电系统

杨昆¹, 孙磊¹, 房超运¹, 张怡²

1. 上海电力大学电气工程学院，上海 200090;
2. 华北理工大学电气工程学院，河北唐山 063000

收稿日期:2021-05-25 修回日期:2021-12-03 出版日期:2022-02-28 发布日期:2022-02-23
作者简介:杨昆（1982—），女，博士，讲师，从事电力系统调度优化及电力市场研究，E-mail：1670760492@qq.com;孙磊（1995—），男，通信作者，硕士研究生，从事新能源消纳研究，E-mail：877176524@qq.com;房超运（1998—），男，硕士研究生，从事辅助服务研究，E-mail：1021279071@qq.com;张怡（1983—），女，副教授，从事电力系统负荷频率控制研究，E-mail：zhangyizhouzhao@163.com
基金资助:
国家自然科学基金资助项目(风电介入下互联电力系统负荷频率的鲁棒分布式模型预测控制，61803154)

Hybrid Power Generation System to Promote New Energy Consumption

YANG Kun¹, SUN Lei¹, FANG Chaoyun¹, ZHANG Yi²

1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. School of Electrical Engineering, North China University of Science and Technology, Tangshan 063000, China

Received:2021-05-25 Revised:2021-12-03 Online:2022-02-28 Published:2022-02-23
Supported by:
This work is supported by National Natural Science Foundation of China（Robust Distributed Model Predictive Control of Load Frequency in Interconnected Power Systems With Wind Power Intervention, No.61803154）.

摘要/Abstract

摘要： 太阳能发电功率逐日增加，以往单一的光伏发电系统并网运行的可调度性和可控性不足，提出了一种新的混合发电系统以提高调度的灵敏性。此系统包括风电场、光伏电厂、光热电站和电加热器。电加热器主要是将多余的风能、光能转化为热能并储存在太阳能发电厂的储热罐中，利用储热光热电站良好的可调度性和可控性，提高系统的旋转备用和爬坡能力，削减风光出力随机性与不确定性，从而提高新能源的消纳量。以系统净收益最大为目标建立模型，在技术约束下最大限度地提高系统利润并研究了不同气候条件下混合发电系统对新能源消纳的影响。

关键词: 光热发电, 风电消纳, 光电消纳, 电加热

Abstract: Solar power is increasing day by day, and the scheduling and controllability of the previous single photovoltaic power generation system running on the grid are insufficient. A new hybrid power generation system is proposed to improve the sensitivity of scheduling. The system includes wind farms, photovoltaic power plants, solar thermal power plants and electric heaters. The electric heater is mainly to convert the excess wind and light energy into heat energy and store it in the heat storage tank of the solar power plant. By using the good scheduling and controllability of the heat storage thermal power station, it improves the rotating reserve and climbing capacity of the system, reduces the randomness and uncertainty of the scenery output, so as to improve the consumption of new energy. In order to maximize the net income of the system, the model is established to maximize the system profit under technical constraints, and the influence of the hybrid power generation system on the new energy consumption under different climate conditions is studied.

Key words: photothermal power generation, wind power consumption, photoelectric absorption, electric heat

杨昆, 孙磊, 房超运, 张怡. 促进新能源消纳的混合发电系统[J]. 中国电力, 2022, 55(2): 145-151.

YANG Kun, SUN Lei, FANG Chaoyun, ZHANG Yi. Hybrid Power Generation System to Promote New Energy Consumption[J]. Electric Power, 2022, 55(2): 145-151.

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参考文献

[1] 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
[2] 拜润卿, 常平, 刘文飞, 等. 光热电站促进风电消纳的电力系统优化调度[J]. 电测与仪表, 2020, 57(22): 1–6
BAI Runqing, CHANG Ping, LIU Wenfei, et al. Optimal dispatching of power system for promoting wind power accommodation by introducing CSP plant[J]. Electrical Measurement & Instrumentation, 2020, 57(22): 1–6
[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 the accommodation approach of wind power based on rational wind power casting[J]. Electrical Measurement & Instrumentation, 2016, 53(11): 45–50
[4] 崔杨, 杨志文, 严干贵, 等. 降低火电机组调峰成本的光热电站储热容量配置方法[J]. 中国电机工程学报, 2018, 38(6): 1605–1611,1896
CUI Yang, YANG Zhiwen, YAN Gangui, et al. Capacity configuration of thermal energy storage within CSP to reduce the Cost of Peak Load Regulation[J]. Proceedings of the CSEE, 2018, 38(6): 1605–1611,1896
[5] 王佳颖, 史俊祎, 文福拴, 等. 计及需求响应的光热电站热电联供型微网的优化运行[J]. 电力系统自动化, 2019, 43(1): 176–185
WANG Jiaying, SHI Junyi, WEN Fushuan, et al. Optimal operation of CHP microgrid with concentrating solar power plants considering demand response[J]. Automation of Electric Power Systems, 2019, 43(1): 176–185
[6] 陈海平, 于鑫玮, 魏进家, 等. 复合抛物面聚光器–光伏/光热与燃煤发电机组联合供能系统性能分析[J]. 中国电机工程学报, 2014, 34(14): 2251–2260
CHEN Haiping, YU Xinwei, WEI Jinjia, et al. Performance analysis of CPC-PV/T hybrid electric-thermal device combined with coal-fired unit power generation system[J]. Proceedings of the CSEE, 2014, 34(14): 2251–2260
[7] SIOSHANSI R, DENHOLM P. Benefits of colocating concentrating solar power and wind[J]. IEEE Transactions on Sustainable Energy, 2013, 4(4): 877–885.
[8] GARCIA-GONZALEZ J, DE LA MUELA R M R, SANTOS L M, et al. Stochastic joint optimization of wind generation and pumped-storage units in an electricity market[J]. IEEE Transactions on Power Systems, 2008, 23(2): 460–468.
[9] 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.
[10] 杜尔顺, 张宁, 康重庆, 等. 太阳能光热发电并网运行及优化规划研究综述与展望[J]. 中国电机工程学报, 2016, 36(21): 5765–5775
DU Ershun, ZHANG Ning, KANG Chongqing, et al. Reviews and prospects of the operation and planning optimization for grid integrated concentrating solar power[J]. Proceedings of the CSEE, 2016, 36(21): 5765–5775
[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] 王蓓蓓, 刘小聪, 李扬. 面向大容量风电接入考虑用户侧互动的系统日前调度和运行模拟研究[J]. 中国电机工程学报, 2013, 33(22): 35–44
WANG Beibei, LIU Xiaocong, LI Yang. Day-ahead generation scheduling and operation simulation considering demand response in large-capacity wind power integrated systems[J]. Proceedings of the CSEE, 2013, 33(22): 35–44
[13] DENG Z C, XIAO J Y, ZHANG S K, et al. Economic feasibility of large-scale hydro-solar hybrid power including long distance transmission[J]. Global Energy Interconnection, 2019, 2(4): 290–299.
[14] ZHAO L, YU R Y, WANG Z, et al. Development modes analysis of renewable energy power generation in North Africa[J]. Global Energy Interconnection, 2020, 3(3): 237–246.
[15] CABRERIZO J A R, SANTOS M, LÓPEZ V. Hybrid fuzzy-PID control in a thermo solar power plant condenser[C]//2014 IEEE International Conference on Progress in Informatics and Computing. Shanghai, China. IEEE, 2014: 641–645.
[16] OLCZAK P, PORZUCZEK J, KANDEFER S. Passive Sun tracking of a single evacuated tube collector with the focusing mirror[C]//2016 IEEE International Conference on Power and Renewable Energy (ICPRE). Shanghai, China. IEEE, 2016: 611–615.
[17] 晋宏杨, 孙宏斌, 郭庆来, 等. 含大规模储热的光热电站—风电联合系统多日自调度方法[J]. 电力系统自动化, 2016, 40(11): 17–23
JIN Hongyang, SUN Hongbin, GUO Qinglai, et al. Multi-day self-scheduling method for combined system of CSP plants and wind power with large-scale thermal energy storage contained[J]. Automation of Electric Power Systems, 2016, 40(11): 17–23
[18] 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 Engineering, 2019, 45(1): 269–275
[19] TIAN H, LIU H Z, MA H, et al. Steady-state voltage-control method considering large-scale wind-power transmission using half-wavelength transmission lines[J]. Global Energy Interconnection, 2021, 4(3): 239–250.
[20] LIU X H, XIE S H, GENG C, et al. Operation strategy for community integrated energy systems considering wind and solar power consumption[C]//2021 40 th Chinese Control Conference (CCC). Shanghai, China. IEEE, 2021: 464-469.
[21] 颜伟, 杨彪, 莫静山, 等. 交直流系统主导节点选择与无功分区的概率优化方法[J]. 中国电力, 2020, 53(8): 77–84
YAN Wei, YANG Biao, MO Jingshan, et al. Probabilistic optimization method for pilot-bus selection and network partitioning of AC/DC system[J]. Electric Power, 2020, 53(8): 77–84
[22] 杨彪, 颜伟, 莫静山. 考虑源荷功率随机性和相关性的主导节点选择与无功分区方法[J]. 电力系统自动化, 2021, 45(11): 61–67
YANG Biao, YAN Wei, MO Jingshan. Pilot-bus selection and network partitioning method considering randomness and correlation of source-load power[J]. Automation of Electric Power Systems, 2021, 45(11): 61–67
[23] 李立鸣, 张鑫钰, 何乐彰, 等. 基于多重分形理论的风电消纳能力评估方法[J]. 电测与仪表, 2019, 56(15): 53–60
LI Liming, ZHANG Xinyu, HE Lezhang, et al. Evaluation method of wind power accommodation capacity based on multi-fractal theory[J]. Electrical Measurement & Instrumentation, 2019, 56(15): 53–60
[24] 王中, 黎丽丽, 李振华, 等. 考虑新能源渗透的电网频率概率分布研究[J]. 电力系统保护与控制, 2021, 49(20): 65–73
WANG Zhong, LI Lili, LI Zhenhua, et al. The evolution characteristics of power grid frequency probability distribution[J]. Power System Protection and Control, 2021, 49(20): 65–73
[25] 应益强, 王正风, 吴旭, 等. 计及新能源随机特性的电网深度调峰多目标策略[J]. 电力系统保护与控制, 2020, 48(6): 34–42
YING Yiqiang, WANG Zhengfeng, WU Xu, et al. Multi-objective strategy for deep peak shaving of power grid considering uncertainty of new energy[J]. Power System Protection and Control, 2020, 48(6): 34–42

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