Ye Haojie1, Xie Lirong1, Deng Jiatong1, Wang Zhiyong2, Bao Hongyin3
Author information+
1. Engineering Research Center for Renewable Energy Power Generation and Grid Technology(Xinjiang University), Urumqi 830047, China; 2. Xinjiang Ecava Industrial Technology Co., Ltd., Urumqi 830000, China; 3. CSIC of Haiwei (Xinjiang) New Energy Co., Ltd., Urumqi 830063, China
In order to control the total carbon emission of power system and improve the proportion of wind power consumption, a coordinated optimization model of wind-fire-carbon capture and storage (CCS) equipment is proposed, which takes the minimum total operation cost of the system as the objective function. At the same time, in order to mobilize the peak shaving enthusiasm of thermal power units and promote the consumption of wind power, the deep peak shaving mechanism of thermal power units considering the peak shaving initiative is introduced. Furthermore, CCS equipment and stepped carbon trading are added to the system to further improve the low-carbon and economy of the system. Simulation results show that the proposed model can effectively promote wind power consumption, and reduce carbon emissions and the operation cost of the system.
Ye Haojie, Xie Lirong, Deng Jiatong, Wang Zhiyong, Bao Hongyin.
WIND-FIRE COORDINATED LOW-CARBON OPTIMAL DISPATCH CONSIDERING CARBON TRADING MECHANISM[J]. Acta Energiae Solaris Sinica. 2023, 44(6): 106-112 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1516
中图分类号:
TM73
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 盛戈皞, 钱勇, 罗林根, 等. 面向新型电力系统的电力设备运行维护关键技术及其应用展望[J]. 高电压技术, 2021, 47(9): 3072-3084. SHENG G H, QIAN Y, LUO L G, et al.Key technologies and application prospects for operation and maintenance of power equipment in new type power system[J]. High voltage engineering, 2021, 47(9): 3072-3084. [2] 王淑云, 娄素华, 刘文霞, 等. 考虑火电深度调峰的电力系统低碳发电优化研究[J]. 全球能源互联网,2019, 2(3): 226-231. WANG S Y, LOU S H, LIU W X, et al.Study on optimization of low-carbon power generation in power system considering the depth peak regulation of thermal power units[J]. Journal of global energy interconnection, 2019, 2(3): 226-231. [3] 李旭东, 艾欣, 胡俊杰, 等. 计及碳交易机制的核-火-虚拟电厂三阶段联合调峰策略研究[J]. 电网技术, 2019, 43(7): 2460-2470. LI X D, AI X, HU J J, et al.Three-stage combined peak regulation strategy for nuclear-thermal-virtual power plant considering carbon trading mechanism[J]. Power system technology, 2019, 43(7): 2460-2470. [4] 李铁, 李正文, 杨俊友, 等. 计及调峰主动性的风光水火储多能系统互补协调优化调度[J]. 电网技术, 2020, 44(10): 3622-3630. LI T, LI Z W, YANG J Y, et al.Coordination and optimal scheduling of multi-energy complementary system considering peak regulation initiative[J]. Power system technology, 2020, 44(10): 3622-3630. [5] 王振浩, 许京剑, 田春光, 等. 计及碳交易成本的含风电电力系统热电联合调度[J]. 太阳能学报, 2020,41(12): 245-253. WANG Z H, XU J J, TIAN C G, et al.Combined heat and power scheduling strategy considering carbon trading cost in wind power system[J]. Acta energiae solaris sinica, 2020, 41(12): 245-253. [6] 张晓辉, 梁军雪, 赵翠妹, 等. 基于碳交易的含燃气机组的低碳电源规划[J]. 太阳能学报, 2020, 41(7): 92-98. ZHANG X H, LIANG J X, ZHAO C M, et al.Research on low-carbon power planning with gas turbine units based on carbon transactions[J]. Acta energiae solaris sinica, 2020, 41(7): 92-98. [7] WANG Y Q, QIU J, TAO Y C, et al.Low-carbon oriented optimal energy dispatch in coupled natural gas and electricity systems[J]. Applied energy, 2020, 280: 115948. [8] 李军徽, 张嘉辉, 穆钢, 等. 储能辅助火电机组深度调峰的分层优化调度[J]. 电网技术, 2019, 43(11): 3961-3970. LI J H, ZHANG J H, MU G, et al.Hierarchical optimization scheduling of deep peak shaving for energy-storage auxiliary thermal power generating units[J]. Power system technology, 2019, 43(11): 3961-3970. [9] 康重庆, 陈启鑫, 夏清. 低碳电力技术的研究展望[J]. 电网技术, 2009, 33(2): 1-7. KANG C Q, CHEN Q X, XIA Q.Prospects of low-carbon electricity[J]. Power system technology, 2009, 33(2): 1-7. [10] 马静玉, 程东波. 碳中和愿景下金属矿产行业的挑战与机遇[J]. 科技导报, 2021, 39(19): 48-55. MA J Y, CHENG D B.Challenges and opportunities of metallic mineral industry under the vision of carbon neutrality[J]. Science & technology review, 2021, 39(19): 48-55. [11] 李一铭, 李文沅, 颜伟, 等. 基于机会约束规划模型降低机组寿命损耗的日调度计划[J]. 电网技术, 2014, 38(7): 1885-1890. LI Y M, LI W Y, YAN W, et al.Daily generation scheduling for reducing losses of unit’s lives based on the chance constrained programming model[J]. Power system technology, 2014, 38(7): 1885-1890. [12] 林俐, 邹兰青, 周鹏, 等. 规模风电并网条件下火电机组深度调峰的多角度经济性分析[J]. 电力系统自动化, 2017, 41(7): 21-27. LIN L, ZOU L Q, ZHOU P, et al.Multi-angle economic analysis on deep peak regulation of thermal power units with large-scale wind power integration[J]. Automation of electric power systems, 2017, 41(7): 21-27.