储能系统和新能源发电装机容量对电力系统性能的影响

doi:10.19799/j.cnki.2095-4239.2022.0439

储能科学与技术 ›› 2023, Vol. 12 ›› Issue (2): 477-485.doi: 10.19799/j.cnki.2095-4239.2022.0439

储能系统和新能源发电装机容量对电力系统性能的影响

陈海东¹(), 蒙飞¹, 王庆¹, 侯峰², 王亦³, 张志华⁴

^1.国网宁夏电力有限公司
^2.国网宁夏电力有限公司培训中心，宁夏银川 750001
^3.国网宁夏电力有限公司石嘴山供电公司，宁夏石嘴山 753000
^4.国网陕西省电力;有限公司电力科学研究院，陕西西安 710000

收稿日期:2022-08-08 修回日期:2022-09-30 出版日期:2023-02-05 发布日期:2023-02-24
通讯作者: 陈海东 E-mail:2022@163.com
作者简介:陈海东（1986—），男，硕士，高级工程师，研究方向为大电网智能调控、新能源高效消纳，E-mail：guessme 2022@163.com。

Influence of installed capacity of energy storage system and renewable energy power generation on power system performance

Haidong CHEN¹(), Fei MENG¹, Qing WANG¹, Feng HOU², Yi WANG³, Zhihua ZHANG⁴

^1.State Grid Ningxia Electric Power Co. , Ltd.
^2.State Grid Ningxia Electric Power Co. , Ltd. , Training Center, Yinchuan 750001, Ningxia, China
^3.State Grid Ningxia Electric Power Co. , Ltd. , Electricity Supply Company of Shizuishan, Shizuishan 753000, Ningxia, China
^4.State Grid Shaanxi Electric Power Co. , Ltd. , Institute of Electricity Science, Xi'an 710000, Shaanxi, China

Received:2022-08-08 Revised:2022-09-30 Online:2023-02-05 Published:2023-02-24
Contact: Haidong CHEN E-mail:2022@163.com

摘要/Abstract

摘要：

随着“双碳”目标的不断推进，新能源发电装机容量将持续增长，由于新能源发电具有不稳定性，因此分析新能源装机容量与储能系统容量增加对电网性能的影响具有重要意义。本工作以某省电网为对象，参考其电网组成建立了包含风电、光伏、火电和储能在内的电力系统调度模型，应用信息间隙决策理论和蒙特卡洛方法模拟了用户负荷和新能源发电的不确定性。研究结果表明：当新能源装机量翻倍时，新能源发电量占比可以提高62.6%，但运行成本也会提高18.7%。当储能系统容量从0 GW提高至15 GW时，可使运行成本降低14.4%，新能源发电量占比提高22%。同时发现，当新能源消纳率低于95%时，储能容量的提高将主要带来新能源消纳的提高；当消纳率高于95%时，储能容量的提高将显著降低电网波动性。该研究对未来低碳能源和智能电网建设中新能源和储能系统装机容量的配置具有一定的指导意义。

关键词: 储能系统, 电力系统, 新能源, 装机容量, 蒙特卡洛方法, 信息间隙决策理论

Abstract:

With the continuous advances in carbon peaking and carbon neutrality goals, the installed capacity of renewable energy will continue to grow. However, renewable energy power generation is unstable. Therefore, it is essential to analyze the impact of changes in the installed capacity and energy storage system capacity of renewable energy on power grid performance. Considering wind power, photovoltaic power, thermal power, and energy storage, a power system dispatch model of one province grid is proposed in this study, and information gap decision theory and the Monte Carlo method are used to simulate the uncertainty of user load and renewable energy power generation. The simulation results show that, when the installed capacity of renewable energy is doubled, the proportion of renewable energy power generation increases by 62.6%; also, the operating cost increases by 18.7%. When the energy storage system capacity is increased from 0 to 15 GW, the operating cost decreases by 14.4%, and the proportion of new energy power generation increases by 22%. In addition, when the new energy consumption rate is lower than 95%, an increase in energy storage capacity will mainly increase the new energy consumption; when it is higher than 95%, an increase in energy storage capacity will significantly reduce the power grid volatility. This study provides certain guiding significance for configuring the installed capacity of renewable energy and energy storage systems for constructing low-carbon energy and smart grids in the future.

Key words: energy storage system, power system, renewable energy, installed capacity, Monte Carlo method, information gap decision theory

中图分类号:

TM 74

陈海东, 蒙飞, 王庆, 侯峰, 王亦, 张志华. 储能系统和新能源发电装机容量对电力系统性能的影响[J]. 储能科学与技术, 2023, 12(2): 477-485.

Haidong CHEN, Fei MENG, Qing WANG, Feng HOU, Yi WANG, Zhihua ZHANG. Influence of installed capacity of energy storage system and renewable energy power generation on power system performance[J]. Energy Storage Science and Technology, 2023, 12(2): 477-485.

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项目	火力发电	风力发电	光伏发电
装机容量/GW	111	18	22.7
年利用时间/h	—	1798	1225

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储能系统和新能源发电装机容量对电力系统性能的影响

Influence of installed capacity of energy storage system and renewable energy power generation on power system performance

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项目	场景
项目	Case 1	Case 2	Case 3	Case 4
火电装机容量/GW	111	100	111	100
风电装机容量/GW	18	18	27	27
光伏装机容量/GW	22.7	22.7	34	34

参数	Case 1	Case 2	Case 3	Case 4
火电装机容量/GW	111	111	100	100
储能装机容量/GW	5	15	10	20