1.全球能源互联网发展合作组织,北京 100031
2.全球能源互联网集团有限公司,北京 100031
3.清华大学 低碳能源实验室,北京 100084
[ "任大伟(1983—),男,通信作者,硕士,高级工程师,从事电力系统分析、规划和控制、电力系统储能研究,E-mail:dawei-ren@geidco.org" ]
[ "金晨(1990—),男,博士,工程师,从事电力系统规划、电力系统储能研究,E-mail:chen-jin@geidco.org" ]
收稿:2020-09-03,
修回:2020-10-21,
纸质出版:2021-07-05
移动端阅览
任大伟, 金晨, 侯金鸣, 等. 基于时序运行模拟的新能源配置储能替代火电规划模型[J]. 中国电力, 2021,54(7):18-26.
Dawei REN, Chen JIN, Jinming HOU, et al. Planning Model for Renewable Energy with Energy Storage Replacing Thermal Power Based on Time Series Operation Simulation[J]. Electric power, 2021, 54(7): 18-26.
任大伟, 金晨, 侯金鸣, 等. 基于时序运行模拟的新能源配置储能替代火电规划模型[J]. 中国电力, 2021,54(7):18-26. DOI: 10.11930/j.issn.1004-9649.202009017.
Dawei REN, Chen JIN, Jinming HOU, et al. Planning Model for Renewable Energy with Energy Storage Replacing Thermal Power Based on Time Series Operation Simulation[J]. Electric power, 2021, 54(7): 18-26. DOI: 10.11930/j.issn.1004-9649.202009017.
随着风电、光伏自身成本不断下降,经济性上逐步具有替代火电的条件,同时,随着风电、光伏替代火电规模的增加,系统需要引入储能来应对系统不断增强的净负荷波动。为更加科学地量化评估新能源配置储能替代火电的经济性和规模,首先建立计及电力系统灵活性需求、基于精细化时序曲线运行模拟的电源和储能联合优化规划模型,以系统总成本最低为优化目标,考虑投资决策约束和运行约束,统筹优化不同成本情景下的电源和储能容量,提出新能源配置储能替代火电的经济性分析流程。其次,基于以上模型方法,优化计算某区域电网高、中、低3种成本情景下的电源和储能容量,并分析不同成本情景下新能源配置储能替代火电的演变过程。最后,提出新能源配置储能不同程度替代火电的条件。
As the cost for wind power and photovoltaic power generation continues to decline
the economic conditions are gradually becoming feasible for wind power and photovoltaic power to replace thermal power. At the same time
as the scale for wind power and photovoltaic power to replace the thermal power increases
the power system needs to introduce energy storage to cope with the increasing net load fluctuations of the power system. In order to quantify and evaluate the economy and scale for renewable energy with energy storage to replace thermal power in a more scientific way
this paper firstly established a joint power generation and energy storage optimization planning model based on the operation simulation of refined time series curves with consideration of the flexibility requirements of the power system. By taking the lowest total system cost as the optimization goal and considering the investment decision-making constraints and operation constraints
the proposed model can coordinate and optimize the capacities of power generation and energy storage under different cost scenarios. The economic analysis process for renewable energy with energy storage to replace thermal power is proposed. Secondly
the proposed model and method were used to optimize the power generation and energy storage capacities for a regional power grid under three scenarios of high-
medium-
and low-cost
and the evolution process for renewable energy with energy storage to replace the thermal power under different cost scenarios was quantitatively analyzed. Finally
the conditions for renewable energy with energy storage to replace thermal power in varying degrees are proposed.
刘振亚. 全球能源互联网[M]. 北京: 中国电力出版社, 2015.
全球能源互联网发展合作组织. 全球能源互联网骨干网架研究[R]. 北京: 全球能源互联网发展合作组织, 2018.
全球能源互联网发展合作组织. 大规模储能技术发展路线图[R]. 北京: 全球能源互联网发展合作组织, 2020.
赵东元, 胡楠, 傅靖, 等. 提升新能源电力系统灵活性的中国实践及发展路径研究[J].电力系统保护与控制,2020,48(24):1-8.
ZHAO Dongyuan, HU Nan, FU Jing, et al.Research on the practice and road map of enhancing the flexibility of a new generation power system in China[J]. Power System Protection and Control, 2020, 48(24):1-8.
罗庆, 张新燕, 罗晨, 等. 新能源发电中储能综合利用的优化评估[J]. 智慧电力, 2020, 48(9): 51-55, 62.
LUO Qing, ZHANG Xinyan, LUO Chen, et al. Optimal evaluation of energy storage comprehensive utilization in new energy generation[J]. Smart Power, 2020, 48(9): 51-55, 62.
国家电网公司“电网新技术前景研究”项目咨询组. 大规模储能技术在电力系统中的应用前景分析[J]. 电力系统自动化, 2013, 37(1): 3–8, 30.
Consulting Group of State Grid Corporation of China to Prospects of New Technologies in Power Systems. An analysis of prospects for application of large-scale energy storage technology in power systems[J]. Automation of Electric Power Systems, 2013, 37(1): 3–8, 30.
白帆, 陈红坤, 陈磊, 等. 基于确定型评价指标的电力系统调度灵活性研究[J]. 电力系统保护与控制, 2020, 48(10): 52-60.
BAI Fan, CHEN Hongkun, CHEN Lei, et al. Research on dispatching flexibility of power system based on deterministic evaluation index[J]. Power System Protection and Control, 2020, 48(10): 52-60.
张宁, 代红才, 胡兆光, 等. 考虑系统灵活性约束与需求响应的源网荷协调规划模型[J]. 中国电力, 2019, 52(2): 61–69.
ZHANG Ning, DAI Hongcai, HU Zhaoguang, et al . A source-grid-load coordinated planning model considering system flexibility constraints and demand response[J ] . Electric Power, 2019, 52(2): 61–69.
NGUYEN H N T, ZHANG C S, MAHMUD M A. Optimal coordination of G2V and V2G to support power grids with high penetration of renewable energy[J]. IEEE Transactions on Transportation Electrification, 2015, 1(2): 188–195.
ZHANG Y, GUO B, ZHANG T. MPC based approach for reliable power system energy management with high penetration level of renewable energy resources[J]. Advanced Materials Research, 2014, 986/987: 371–376.
MA J, SILVA V, BELHOMME R, et al . Evaluating and planning flexibility in sustainable power systems[J ] . IEEE Transactions on Sustainable Energy, 2013, 4(1): 200–209.
龚晓琴, 王进, 王珑, 等. 含电转气的电−气互联综合能源系统低碳经济运行[J]. 电力科学与技术学报, 2020, 35(2): 76–83.
GONG Xiaoqin, WANG Jin, WANG Long, et al . Low-carbon economic operation for integrated electricity and natural-gas energy system with power-to-gas[J ] . Journal of Electric Power Science and Technology, 2020, 35(2): 76–83.
SUGIHARA H, YAMAGUCHI N, TSUYOSHI F. Notice of removal: dynamic optimal power flow in transmission networks with high penetration of intermittent renewable energy sources[C]//2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE). Hangzhou, China. IEEE, 2015: 860–863.
ZHENG S, QIAN G. Overview of hydro–wind–solar power complementation development in China[J]. Global Energy Interconnection, 2019, 2(4): 285-289.
WEISS T, PAPAPETROU M, WÄNN A, et al. Facilitating energy storage to allow high penetration of intermittent renewable Energy[C]//7th International Renewable Energy Storage Conference and Exhibition (IRES 2012). 2012.
SHIGENOBU R, NOORZAD A S, MUARAPAZ C, et al . Optimal operation and management for smart grid subsumed high penetration of renewable energy, electric vehicle, and battery energy storage system[J ] . International Journal of Emerging Electric Power Systems, 2016, 17(2): 173–189.
鲁宗相, 李海波, 乔颖. 含高比例可再生能源电力系统灵活性规划及挑战[J]. 电力系统自动化, 2016, 40(13): 147–158.
LU Zongxiang, LI Haibo, QIAO Ying. Power system flexibility planning and challenges considering high proportion of renewable energy[J]. Automation of Electric Power Systems, 2016, 40(13): 147–158.
徐唐海, 鲁宗相, 乔颖, 等. 源荷储多类型灵活性资源协调的高比例可再生能源电源规划[J]. 全球能源互联网, 2019, 2(1): 27–34.
XU Tanghai, LU Zongxiang, QIAO Ying, et al . High penetration of renewable energy power planning considering coordination of source-load-storage multi-type flexible resources[J ] . Journal of Global Energy Interconnection, 2019, 2(1): 27–34.
李海波, 鲁宗相, 乔颖. 源荷储一体化的广义灵活电源双层统筹规划[J]. 电力系统自动化, 2017, 41(21): 46–54, 104.
LI Haibo, LU Zongxiang, QIAO Ying. Bi-level optimal planning of generation-load-storage integrated generalized flexibility resource[J]. Automation of Electric Power Systems, 2017, 41(21): 46–54, 104.
程耀华, 张宁, 王佳明, 等. 面向高比例可再生能源并网的输电网规划方案综合评价[J]. 电力系统自动化, 2019, 43(3): 33–42, 57.
CHENG Yaohua, ZHANG Ning, WANG Jiaming, et al . Comprehensive evaluation of transmission network planning for integration of high-penetration renewable energy[J ] . Automation of Electric Power Systems, 2019, 43(3): 33–42, 57.
全球能源互联网发展合作组织. 中国“十四五”电力发展规划研究[R]. 北京: 全球能源互联网发展合作组织, 2020.
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